SlideShare una empresa de Scribd logo
1 de 48
Session 12: Performance
Improvement Tools: Gathering the
Evidence

  R.S. Crawford, III, MD, MBA
  rcrawford@usuhs.mil

  William Hirst, BSN, MPH, CPHQ
  MHirst@SouthcentralFoundation.com



                        April 2012
Setting the Stage
         Analyst Goal with Dr Crawford

    • Establish a working relationship, trust and listen
        What insight does he already have
    • Assist in decreasing his level of uncertainty
        This isn’t a research study
    • Provide useful information for decision support
    • Demonstrate actionable information tools for all staff
        Executives
        Managers
        Front-end Staff
Big Picture


      Population at
                                     Prevention
      Risk

                                                                      Recovery




                          Incidence of
                 Disability or Disease



                                            Case Management Level 1
                                                            Level 2
                 Prevalence of                              Level 3
           Disability or Disease                            Level 4
                                                            Level 5



                                                                Death
Mean 68.13
                       d
                       l
                       e
                       n
                       a
                       p
                       m
                       P
                       0
                       1
                       /
                       t
                       s
                       i
                       V
                       R
                       E




       60
                       65
                                                     70
                                                           75
                                                                              80
 9
 0
 -
 g
 u
 A
 9
 0
 -
 p
 e
 S




            LCL 62.4
                                                          UCL 73.9
 9
 0
 -
 t
 c
 O




                                         Mean 68.1
9
0
-
v
o
N
 9
 0
 -
 c
 e
 D
  0
  1
  -
  n
  a
  J
 0
 1
 -
 b
 e
 F
0
1
-
r
a
M
 0
 1
 -
 r
 p
 A
0
1
-
y
a
M
  u
  J
  0
  1
  -
  n
   0
   1
   -
   l
   u
   J
 0
 1
 -
 g
 u
 A
 0
 1
 -
 p
 e
 S
 0
 1
 -
 t
 c
 O
0
1
-
v
o
N
 0
 1
 -
 c
 e
 D
  1
  -
  n
  a
  J
 1
 -
 b
 e
 F
                                                                                   ER Visits / 1000 Pt. Empanelled




1
-
r
a
M
 1
 -
 r
 p
 A
1
-
y
a
M
  u
  J
  1
  -
  n
   1
   -
   l
   u
   J
 1
 -
 g
 u
 A
 1
 -
 p
 e
 S
 1
 -
 t
 c
 O
                                                                75.2
                                                                       77.5




1
-
v
o
N
 1
 -
 c
 e
 D
%




    55
                60
                      65
                                            70
                                                        75
u
A
9
0
-
g
9
0
-
p
e
S




         LCL 60.6
                                 UCL 67.0
9
0
-
t
c
O




                     Mean 63.8
9
0
-
v
o
N
c
9
0
-
e
D
0
1
-
n
a
J
0
1
-
b
e
F
0
1
-
r
a
M
p
A
0
1
-
r
0
1
-
y
a
M
0
1
-
n
u
J
0
1
-
l
u
J
u
A
0
1
-
g
0
1
-
p
e
S
0
1
-
t
c
O
0
1
-
v
o
N
c
0
1
-
e
D
1
-
n
a
J
1
-
b
e
F
1
-
r
a
M
                                                             % ER Visits Between 0800 - 1700




p
A
1
-
r
1
-
y
a
M
1
-
n
u
J
1
-
l
u
J
u
A
1
-
g
1
-
p
e
S
1
-
t
c
O
                                                 70.3




1
-
v
o
N
c
1
-
e
D
                                             69.8
c
                    a
                    m
                    h
                    A
                    0
                    1
                    /
                    t
                    s
                    i
                    V
                    R
                    E




    10
            15
                    20
                         25
                                      30
                                           35
                                                      40
                                                                  45
9
0
-
g
u
A
9
0
-
p
e
S




         LCL 16.5
                                                UCL 37.2
9
0
-
t
c
O




                              Mean 26.8
v
o
N
9
0
-
9
0
-
c
e
D
0
1
-
n
a
J
0
1
-
b
e
F
0
1
-
r
a
M
0
1
-
r
p
A
0
1
-
y
a
M
0
1
-
n
u
J
0
1
-
l
u
J
0
1
-
g
u
A
0
1
-
p
e
S
0
1
-
t
c
O
v
o
N
0
1
-
0
1
-
c
e
D
1
-
n
a
J
1
-
b
e
F
                                                                       ER Visits / 1000 Asthmatics




1
-
r
a
M
1
-
r
p
A
1
-
y
a
M
1
-
n
u
J
1
-
l
u
J
1
-
g
u
A
1
-
p
e
S
1
-
t
c
O
v
o
N
1
-
                                                           40.2




1
-
c
e
D
Dec 11
         Clinic     ER Visits     Total        ER Visits per 1000    % of Total
                                Empanelled       Empanelled            Visits
  Family Practice       1,844         17,500               105.37          79.31%
   Internal Med            97          2,500                 38.80          4.17%

         Peds            384          10,000                 38.40         16.52%
         Total          2,325         30,000                 77.50        100.00%
Dec 10
         Clinic     ER Visits     Total        ER Visits per 1000    % of Total
                                Empanelled       Empanelled            Visits
  Family Practice       1,498         17,500                 85.60         74.94%

   Internal Med          103           2,500                 41.20          5.15%
         Peds            398          10,000                 39.80         19.91%

         Total          1,999         30,000                 66.63        100.00%
Tricare Operations Center (TOC)

                http://mytoc.tma.osd.mil
Visits with Assigned PCM
(source: Tricare Operations Center)




          VALHALLA Family Medicine Clinic 44%
Provider Schedule Report
Determine Provider Availability: # Providers with Schedules




         VALHALLA FMC Provider Availability 50%
Provider Schedule Report
Clinic/Provider Specific with # of Appointments
Template Analysis Tool (TAT)
Overall Clinic Summary Views
     Clinic Location   Provider

      Sum of Count

       1400



                                  ATC Category
       1200                       Slot Status
                                    (blank) - (blank)
                                    (blank) -
                                    Wellness - OPEN
       1000
                                    Wellness - FROZEN
                                    Wellness - CANCELLED
                                    Wellness - BOOKED
        800                         Specialty - OPEN
                                    Specialty - FROZEN
                                    Specialty - CANCELLED
                                    Specialty - BOOKED
        600
                                    Routine - OPEN
                                    Routine - FROZEN
                                    Routine - CANCELLED
        400                         Routine - BOOKED
                                    Other - OPEN
                                    Other - FROZEN
                                    Other - CANCELLED
        200
                                    Other - BOOKED
                                    Acute - OPEN
                                    Acute - FROZEN
           0                        Acute - CANCELLED
                 0
                 2
                 1
                 4
                 1
                 0
                 2
                 3
                 4
                 1
                 0
                 2
                 5
                 4
                 1
                 0
                 2
                 7
                 4
                 1
                 0
                 2
                 9
                 4




                 0
                 2
                 1
                 5
                 1
                 0
                 2
                 3
                 5
                 1
                 0
                 2
                 5
                 1
                 0
                 2
                 7
                 5
                 1
                 0
                 2
                 9
                 5
                 /
                 /
                 /
                 /
                 /




                 /
                 /
                 /
                 /
                 /
               0
               2
               1
               4
               0
               2
               3
               1
               4
               0
               2
               5
               1
               4
               0
               2
               7
               1
               4
               0
               2
               9
               1
               4
               0
               1
               2
               4
               1
               0
               3
               2
               4
               1
               0
               5
               2
               4
               1
               0
               7
               2
               4
               1
               0
               9
               2
               4




               0
               2
               1
               5
               0
               2
               3
               1
               5
               0
               2
               1
               5
               0
               2
               7
               1
               5
               0
               2
               9
               1
               5
               0
               1
               2
               5
               1
               0
               3
               2
               5
               1
               0
               2
               5
               1
               0
               7
               2
               5
               1
               0
               9
               2
               5
               0
               2
               1
               3
               5
               /
               /
               /
               /
               /
               /
               /
               /
               /
               /




               /
               /
               /
               /
               /
               /
               /
               /
               /
               /
               /
      Appt Date
20
                           40
                                     60
                                                                                      80
                                                                                                              100
                                                                                                                    120
                                                                                                                          140
                                                                                                                                160




                  0




Appt Date
              1
              0
              2
              /
              4
                                                                                                                                                     Clinic Location

              1
              0
              2
              3
              /
              4                                                                                                                       Sum of Count
              1
              0
              2
              /
              4
              1
              0
              2
              5
              /
              4
              1
              0
              2
              6
              /
              4
                                                                                                                                                     Provider




              1
              0
              2
              9
              /
              4
            2
            0
            1
            /
            4
            0
            2
            1
            /
            4
            0
            2
            1
            /
            4
            0
            2
            3
            1
            /
            4
            0
            2
            6
            1
            /
            4
            0
            2
            7
            1
            /
            4
            0
            2
            8
            1
            /
            4
            0
            2
            9
            1
            /
            4
            1
            0
            2
            /
            4
            1
            0
            3
            2
            /
            4
            1
            0
            2
            /
            4
            1
            0
            5
            2
            /
            4
            1
            0
            6
            2
            /
            4
            1
            0
            7
            2
            /
            4
                                                                                                                                                                       Template Analysis Tool (TAT)




            1
            2
            0
            3
            /
            4
              0
              2
              1
              /
              5
              1
              0
              2
              /
              5
              1
              0
              2
              3
              /
              5
              1
              0
              2
              4
              /
              5
              1
              0
              2
              7
              /
              5
              1
              0
              2
              8
              /
              5
              1
              0
              2
              9
              /
              5
            2
            0
            1
            /
            5
            0
            2
            1
            /
            5
            0
            2
            4
            1
            /
            5
            0
            2
            1
            /
            5
            0
            2
            6
            1
            /
            5
            0
            2
            7
            1
            /
            5
            0
            2
            8
            1
            /
            5
            0
            1
            2
            /
            5
            1
            0
            2
            /
            5
            1
            0
            3
            2
            /
            5
            1
            0
            4
            2
            /
            5
                                                                                                                                                                       ATC Category and Slot Status Dynamic Templates




            1
            0
            2
            /
            5
            1
            0
            9
            2
            /
            5
            1
            2
            0
            3
            /
            5
            0
            2
            1
            3
            /
            5
                                                                                 Slot Status
                                                                                               ATC Category


                                                                  Acute - OPEN
                                                 Acute - FROZEN
                                Acute - BOOKED
Template Analysis Tool (TAT)
Provider Specific Templates
    Clinic Location   Provider

     Sum of Count

        20



        18



        16



        14



        12                       ATC Category
                                 Slot Status
        10                         Wellness - OPEN
                                   Wellness - BOOKED
                                   Routine - OPEN
          8
                                   Routine - BOOKED
                                   Acute - OPEN

          6                        Acute - BOOKED



          4



          2



          0
                1
                0
                2
                4
                1
                0
                2
                3
                4
                1
                0
                2
                4
                1
                0
                2
                5
                4
                1
                0
                2
                6
                4
                1
                0
                2
                9
                4




                0
                2
                1
                5
                1
                0
                2
                5
                1
                0
                2
                3
                5
                1
                0
                2
                4
                5
                1
                0
                2
                7
                5
                1
                0
                2
                8
                5
                1
                0
                2
                9
                5
                /
                /
                /
                /
                /
                /




                /
                /
                /
                /
                /
                /
                /
              2
              0
              1
              4
              0
              2
              1
              4
              0
              2
              1
              4
              0
              2
              3
              1
              4
              0
              2
              6
              1
              4
              1
              0
              3
              2
              4
              1
              0
              2
              4
              1
              0
              5
              2
              4
              1
              0
              6
              2
              4
              1
              0
              7
              2
              4
              1
              2
              0
              3
              4




              2
              0
              1
              5
              0
              2
              1
              5
              0
              2
              4
              1
              5
              0
              2
              1
              5
              0
              1
              2
              5
              1
              0
              2
              5
              1
              0
              3
              2
              5
              1
              0
              4
              2
              5
              1
              0
              9
              2
              5
              1
              2
              0
              3
              5
              0
              2
              1
              3
              5
              /
              /
              /
              /
              /
              /
              /
              /
              /
              /
              /




              /
              /
              /
              /
              /
              /
              /
              /
              /
              /
              /
     Appt Date
Access Management Report




    VALHALLA Family Medicine No Shows 11%
No Show Appointments by Day



                                                                                     CY 2011
                                           # No-Show Appointments by Day (1 Jun 06 - 31 May 07) Family Med
                      n=5720 (11% of 52,000 appts)
               5720                                                                                                          100%

                                                                                                             91%             90%
               5005
                                                                                        81%                                  80%
               4290
                                                                                                                             70%
                                                                    66%
               3575
                                                                                                                             60%
      Number




               2860                                                                                                          50%

                               2117                                                                                          40%
               2145                                  37%
                                                           1659
                                                                                                                             30%
               1430
                                                                            858                                              20%

               715                                                                                572                514
                                                                                                                             10%


                 0                                                                                                           0%
                             Monday                        Friday         Thursday             Wednesday           Tuesday
No Shows by Day and Hr



                                                                                                   CY 2011
                                                Monday No-Shows Family Med (1 June 06 - 31 May 07)
                  n=2117
                                                                                                                                            100%
                                                                                                                               98%
               2000                                                                                               96%
                                                                                                     93%
                                                                                        89%                                                 90%
                                                                          84%
                                                                                                                                            80%
                                                             78%

               1500                             70%                                                                                         70%
                           1270
                                   60%                                                                                                      60%
      Number




                                                                                                                                            50%
               1000

                                                                                                                                            40%

                                                                                                                                            30%
               500
                                                                                                                                            20%
                                         212
                                                      169
                                                                   127          105                                                         10%
                                                                                              84           64           44           42
                 0                                                                                                                          0%
                       0800-0859    0900-0959    1700-1759    1300-1359    1500-1559     1400-1459    1000-1059    1600-1659    1100-1159
                                                                          Time of Day
No Shows by Day and Hr



                                                                                                 CY 2011
                                                  Friday No-Shows Family Med (1 June 06 - 31 May 07)
                n=1659
                                                                                                                                              100%
                                                                                                                                 98%
                                                                                                                    96%
                                                                                                       93%
               1500                                                                       90%                                                 90%
                                                                            86%
                                                               80%                                                                            80%

                                                  70%                                                                                         70%

               1000                                                                                                                           60%
      Number




                                                                                                                                              50%
                           664
                                     40%                                                                                                      40%
                                           500
               500                                                                                                                            30%

                                                                                                                                              20%
                                                        165
                                                                     100                                                                      10%
                                                                                  66            50           49           34           31
                 0                                                                                                                            0%
                         1700-1759    0800-0859    0900-0959    1300-1359    1400-1459     1000-1059    1100-1159    1600-1659    1500-1559
                                                                            Time of Day
Tricare Operations Center (TOC)
Many More Reports


    •   3rd Next Available – under beta testing
    •   Appointment Utilization
    •   Access to Care Reports
    •   Enrollment & Population Reports
    •   Booked Management Report
    •   Length of Stay
Valhalla Findings




    • Provider availability ~ 50% last 12 mo
    • % of Appt with PCM is low (44%)
    • % of 3rd Next Available Acute Appointments meeting
      Access Standards (24hrs) is low in Family Medicine
    • Decrease in team continuity
    • Low appointment availability on peak days
    • Deployment in 6 months
    • No-show rates of 11%
    • Training during peak hours
Potential Items Affecting Capacity


     •   Provider availability / schedules / templates
     •   Team experience and continuity
     •   Provider specialties & manpower issues
     •   No-show rates
     •   Leave, TDY, Holiday’s
     •   Additional duty, provider call
     •   Procedures
     •   Facility layout & Support services
     •   Technology
     •   Service level agreements with referrals
     •   Don’t rely on historic utilization patterns
MHS Population Health Model
Population Questions


    • Who are my patients?
    • What are their preventive service needs?
    • What conditions do they have?
    • Who are my high utilizers that may need case
      management?
    • How well am I doing in the management of their
      care?
       • HEDIS
       • Primary Care Medical Home
    • How do I forecast & manage the demand for
      services?
Population Identification




                https://carepoint.afms.mil
MHSPHP Data Sources



    DEERS                             M2                     CHCS


                                                                 AdHocs
                 Direct Care        Purchased
                                  Care/Network     PDTS
                  Inpt and
                    Outpt         Inpt and Outpt


     TRICARE                                               Mammography
    Enrollment                                               Pap Smears
                                                          Clinical Chemistry
                                                             Enrollment

                               MHS Population
                                Health Portal
Population Identification
Population Identification
Population Identification
MHSPHP Action List
MHSPHP Patient Detail




    •Last 3 B/P’s (currently from Clinical Data Repository)
    •Last 6 Labs (note labs in network have no values)
MHSPHP Local Exclusions




  •Exclusions automatically expire after 1 year
  •Exclusions follow pt (new facility can validate or delete)
  •30 day flag before they expire
  •Different icon if exclusion was at other facility
  •Apply to Medical Home and Action Lists, not HEDIS
MHSPHP Local Entered Notes




  •Notes are NOT MEDICAL RECORD
  •Stay forever unless deleted by user
  •System flags not when pt changes facility, new facility can
  validate it or delete it
  •Default is current list, can choose more than 1
MHSPHP HEDIS & Medical Home




  •Score = Completed/Total as percentage
  •Score as compared to All HEDIS® measured health plans
     Green=Score is greater than 90th percentile
     Yellow= Score is between 50th and 90th percentile
     Red= score less than 50th percentile



                                  •Medical Home Completed/Medical Home Total
                                  •No benchmark for comparing medical home scores
                                  •Can be same, higher or even lower than HEDIS® score
MHSPHP HEDIS & Medical Home
Putting Carepoint to Work: Demand
            Forecasting
Demand Forecasting


    •   Daily Demand Forecasting:
         • Team huddles with integrated care team
         • Same reasons as inpatient report
             • Planning, Coordination, Safety

    •   Demand Forecasting and Planning:
         • Deployment coming up in 6 months in which 6 of the 20
           providers will be deployed.
            • If we decided to contract out Well Women Exams to
              include pap smears. How many would we need to
              contract out for?
            • School physical demand what can we expect? Do we
              need to adjust schedules?
Population Identification
Demand Forecasting and Planning




    •   Women 18 and older = 9231
        9231/ @ least one Pap q3 yrs = ~3077/yr

    •   Women 40 and older
        2632/ @ least one Mammogram q 2 yrs = ~1316/yr

    •   Children 5 years old ready to start school
         256 School Physicals

    •   1 Jan 11 – 31 Dec 11 ~ 52,000 FMC Appts
Putting Carepoint to Work: Demand
           Management
High Utilizer Identification


                    FICTITIOUS DATA
Evaluation:
How did we do?
d
                             l
                             e
                             n
                             a
                             p
                             m
                             P
                             0
                             1
                             /
                             t
                             s
                             i
                             V
                             R
                             E




      60
                             65
                                                                  70
                                                                        75
                                                                                          80
9
0
-
g
u
A
9
0
-
p
e
S




                                         MEAN 68.13
9
0
-
t
c
O




           LCL 62.4
                                                                       UCL 73.9




                                                      Mean 68.1
9
0
-
v
o
N
9
0
-
c
e
D
 0
 1
 -
 n
 a
 J
 0
 1
 -
 b
 e
 F
0
1
-
r
a
M
 0
 1
 -
 r
 p
 A
0
1
-
y
a
M
  0
  1
  -
  n
  u
  J
  0
  1
  -
  l
  u
  J
0
1
-
g
u
A
0
1
-
p
e
S
 0
 1
 -
 t
 c
 O
0
1
-
v
o
N
0
1
-
c
e
D
 1
 -
 n
 a
 J
1
-
b
e
F
1
-
r
a
M
 1
 -
 r
 p
 A
                                                                                               ER Visits / 1000 Pt. Empanelled




1
-
y
a
M
 1
 -
 n
 u
 J
  1
  -
  l
  u
  J
1
-
g
u
A
1
-
p
e
S
1
-
t
c
O
                                                                            75.2




1
-
v
o
N
                                                                                   77.5




1
-
c
e
D
                             Mean 65.3




 2
 1
 -
 n
 a
 J
2
1
-
b
e
F
                      64.0




2
1
-
r
a
M
%




    55
                60
                                    65
                                                          70
                                                                      75
9
0
-
g
u
A
9
0
-
p
e
S




         LCL 60.6
9
0
-
t
c
O




                                               UCL 67.0



                                   Mean 63.8
9
0
-
v
o
N
9
0
-
c
e
D
0
1
-
n
a
J
0
1
-
b
e
F
0
1
-
r
a
M
0
1
-
r
p
A
0
1
-
y
a
M
0
1
-
n
u
J
0
1
-
l
u
J
0
1
-
g
u
A
0
1
-
p
e
S
0
1
-
t
c
O
0
1
-
v
o
N
0
1
-
c
e
D
1
-
n
a
J
1
-
b
e
F
1
-
r
a
M
1
-
r
p
A
1
-
y
a
M
                                                                           % ER Visits Between 0800 - 1700




1
-
n
u
J
1
-
l
u
J
1
-
g
u
A
1
-
p
e
S
1
-
t
c
O
                                                               70.3




1
-
v
o
N
1
-
c
e
D
                     Mean 62.7
                                                           69.8




2
1
-
n
a
J
2
1
-
b
e
F
                                 64.1




2
1
-
r
a
M
c
                    a
                    m
                    h
                    A
                    0
                    1
                    /
                    t
                    s
                    i
                    V
                    R
                    E




    10
            15
                    20
                                  25
                                               30
                                                    35
                                                              40
                                                                           45
9
0
-
g
u
A
9
0
-
p
e
S




                                                         UCL 37.2




         LCL 16.5
9
0
-
t
c
O




                                       Mean 26.8
9
0
-
v
o
N
9
0
-
c
e
D
0
1
-
n
a
J
0
1
-
b
e
F
0
1
-
r
a
M
0
1
-
r
p
A
0
1
-
y
a
M
0
1
-
n
u
J
0
1
-
l
u
J
0
1
-
g
u
A
0
1
-
p
e
S
0
1
-
t
c
O
0
1
-
v
o
N
0
1
-
c
e
D
1
-
n
a
J
1
-
b
e
F
1
-
r
a
M
                                                                                ER Visits / 1000 Asthmatics




1
-
r
p
A
1
-
y
a
M
1
-
n
u
J
1
-
l
u
J
1
-
g
u
A
1
-
p
e
S
1
-
t
c
O
1
-
v
o
N
                                                                    40.2




                           Mean 24.1




1
-
c
e
D
2
1
-
n
a
J
2
1
-
b
e
F
                    22.8




2
1
-
r
a
M
Mar 12
         Clinic      ER Visits    Total Empanelled   ER Visits per 1000     % of Total Visits
                                                       Empanelled
   Family Practice        1,450             17,500                  82.86              75.40%
    Internal Med           100               2,500                  40.00               5.20%
         Peds              373              10,000                  37.30              19.40%
         Total            1,923             30,000                  64.10            100.00%
Dec 11
         Clinic      ER Visits    Total Empanelled   ER Visits per 1000     % of Total Visits
                                                       Empanelled
   Family Practice        1,844             17,500                 105.37              79.31%
    Internal Med            97               2,500                  38.80               4.17%
         Peds              384              10,000                  38.40              16.52%
         Total            2,325             30,000                  77.50            100.00%
Dec 10
         Clinic      ER Visits    Total Empanelled   ER Visits per 1000     % of Total Visits
                                                       Empanelled
   Family Practice        1,498             17,500                  85.60              74.94%
    Internal Med           103               2,500                  41.20               5.15%
         Peds              398              10,000                  39.80              19.91%
         Total            1,999             30,000                  66.63            100.00%
Patient Appointments with PCM
(Goal 70%)

                Valhalla Medical Center (Jan – Mar 2012)
                   Source: Tricare Operations Center

                 MEPRS Clinic                     % with PCM


         Family Practice Clinic A (BGAB)              70.1



         Family Practice Clinic B (BGAC)              67.5



         Family Practice Clinic C (BGAD)              68.7
Access to Care 3rd Next Available
(Acute) - Goal 80%)

                  Valhalla Medical Center (Jan – Mar 2012)
                     Source: Tricare Operations Center

                   MEPRS Clinic                       % @ Std


           Family Practice Clinic A (BGAB)              83.3



           Family Practice Clinic B (BGAC)              87.2



           Family Practice Clinic C (BGAD)              91.2
Questions
   ?

Más contenido relacionado

Destacado

Resume_Lou_Chen
Resume_Lou_ChenResume_Lou_Chen
Resume_Lou_Chen
Yu-Ju Chen
 
SESSION 2 - Complexity - Barbour
SESSION 2 - Complexity - BarbourSESSION 2 - Complexity - Barbour
SESSION 2 - Complexity - Barbour
MedXellence
 
HaYidion Field of Dreams December 2015
HaYidion Field of Dreams December 2015HaYidion Field of Dreams December 2015
HaYidion Field of Dreams December 2015
Ilana Lipson-Cohen
 
Session 11B - Increasing MTF Effectiveness & Efficiency
Session 11B - Increasing MTF Effectiveness & EfficiencySession 11B - Increasing MTF Effectiveness & Efficiency
Session 11B - Increasing MTF Effectiveness & Efficiency
MedXellence
 
EDI Cost Savings Report GS1Cranfield
EDI Cost Savings Report  GS1CranfieldEDI Cost Savings Report  GS1Cranfield
EDI Cost Savings Report GS1Cranfield
Suraya Adnan_Ariffin
 

Destacado (20)

Vistas sacapuntas jhon_ramos
Vistas sacapuntas jhon_ramosVistas sacapuntas jhon_ramos
Vistas sacapuntas jhon_ramos
 
презентация 2016
презентация 2016презентация 2016
презентация 2016
 
slide.txt
slide.txtslide.txt
slide.txt
 
Resume_Lou_Chen
Resume_Lou_ChenResume_Lou_Chen
Resume_Lou_Chen
 
Geometría 1 unidad 2 tema 1 actividad de aprendizaje 2 Elí
Geometría 1 unidad 2 tema 1 actividad de aprendizaje 2 ElíGeometría 1 unidad 2 tema 1 actividad de aprendizaje 2 Elí
Geometría 1 unidad 2 tema 1 actividad de aprendizaje 2 Elí
 
Empty
EmptyEmpty
Empty
 
[BLT] 한국 상장기업을 위한 3가지 특허전략
[BLT] 한국 상장기업을 위한 3가지 특허전략[BLT] 한국 상장기업을 위한 3가지 특허전략
[BLT] 한국 상장기업을 위한 3가지 특허전략
 
SESSION 2 - Complexity - Barbour
SESSION 2 - Complexity - BarbourSESSION 2 - Complexity - Barbour
SESSION 2 - Complexity - Barbour
 
HaYidion Field of Dreams December 2015
HaYidion Field of Dreams December 2015HaYidion Field of Dreams December 2015
HaYidion Field of Dreams December 2015
 
[BLT토크콘서트] US startup patents - 김재연 미국특허변호사
[BLT토크콘서트]  US startup patents - 김재연 미국특허변호사[BLT토크콘서트]  US startup patents - 김재연 미국특허변호사
[BLT토크콘서트] US startup patents - 김재연 미국특허변호사
 
Mil qualified-connectors-pei-genesis
Mil qualified-connectors-pei-genesisMil qualified-connectors-pei-genesis
Mil qualified-connectors-pei-genesis
 
new.pptx
new.pptxnew.pptx
new.pptx
 
Session 11B - Increasing MTF Effectiveness & Efficiency
Session 11B - Increasing MTF Effectiveness & EfficiencySession 11B - Increasing MTF Effectiveness & Efficiency
Session 11B - Increasing MTF Effectiveness & Efficiency
 
CVMYEngFeb2016
CVMYEngFeb2016CVMYEngFeb2016
CVMYEngFeb2016
 
[한국CFO스쿨] Start up ceo를 위한 재무회계 이해와 활용 심규태
[한국CFO스쿨] Start up ceo를 위한 재무회계 이해와 활용 심규태[한국CFO스쿨] Start up ceo를 위한 재무회계 이해와 활용 심규태
[한국CFO스쿨] Start up ceo를 위한 재무회계 이해와 활용 심규태
 
Session 03. [alots business group] 박한진 대표 startup entry silicon valley (1)
Session 03. [alots business group] 박한진 대표   startup entry silicon valley (1)Session 03. [alots business group] 박한진 대표   startup entry silicon valley (1)
Session 03. [alots business group] 박한진 대표 startup entry silicon valley (1)
 
1.txt
1.txt1.txt
1.txt
 
EDI Cost Savings Report GS1Cranfield
EDI Cost Savings Report  GS1CranfieldEDI Cost Savings Report  GS1Cranfield
EDI Cost Savings Report GS1Cranfield
 
[BLT] 고벤처포럼 - 스타트업과 특허전략
[BLT] 고벤처포럼 - 스타트업과 특허전략[BLT] 고벤처포럼 - 스타트업과 특허전략
[BLT] 고벤처포럼 - 스타트업과 특허전략
 
[BLT] 스타트업을 위한 인증제도 안내 2016.08.03 엄정한_ver3.1 - 복사본
[BLT] 스타트업을 위한 인증제도 안내 2016.08.03 엄정한_ver3.1 - 복사본[BLT] 스타트업을 위한 인증제도 안내 2016.08.03 엄정한_ver3.1 - 복사본
[BLT] 스타트업을 위한 인증제도 안내 2016.08.03 엄정한_ver3.1 - 복사본
 

Similar a Session 12 - Introduction to Information Tools

internal_analysis.ppt
internal_analysis.pptinternal_analysis.ppt
internal_analysis.ppt
Videoguy
 
Plenary 1 Driving Quality Through Innovation
Plenary 1 Driving Quality Through InnovationPlenary 1 Driving Quality Through Innovation
Plenary 1 Driving Quality Through Innovation
NHSScotlandEvent
 
Radiotherapy Lymphomas
Radiotherapy LymphomasRadiotherapy Lymphomas
Radiotherapy Lymphomas
fondas vakalis
 
Innovative Radiotherapy In Hnc
Innovative Radiotherapy In HncInnovative Radiotherapy In Hnc
Innovative Radiotherapy In Hnc
fondas vakalis
 
number of prescreptions
number of prescreptionsnumber of prescreptions
number of prescreptions
negm2013
 
Peformance Comparison For Large Dsp(For Distribution)
Peformance Comparison For Large Dsp(For Distribution)Peformance Comparison For Large Dsp(For Distribution)
Peformance Comparison For Large Dsp(For Distribution)
cahyadi prasetya
 
From temporal to static networks, and back
From temporal to static networks, and backFrom temporal to static networks, and back
From temporal to static networks, and back
Petter Holme
 

Similar a Session 12 - Introduction to Information Tools (19)

internal_analysis.ppt
internal_analysis.pptinternal_analysis.ppt
internal_analysis.ppt
 
Plenary 1 Driving Quality Through Innovation
Plenary 1 Driving Quality Through InnovationPlenary 1 Driving Quality Through Innovation
Plenary 1 Driving Quality Through Innovation
 
Radiotherapy Lymphomas
Radiotherapy LymphomasRadiotherapy Lymphomas
Radiotherapy Lymphomas
 
Master Rosina Marzo 09 [2]
Master Rosina Marzo 09 [2]Master Rosina Marzo 09 [2]
Master Rosina Marzo 09 [2]
 
Kainamu Whakamomori: Maori Attempted Suicide in Aotearoa
Kainamu Whakamomori: Maori Attempted Suicide in Aotearoa  Kainamu Whakamomori: Maori Attempted Suicide in Aotearoa
Kainamu Whakamomori: Maori Attempted Suicide in Aotearoa
 
Hcv
HcvHcv
Hcv
 
29
2929
29
 
Adapting to a changing climate - Jerry Knox (Cranfield University)
Adapting to a changing climate - Jerry Knox (Cranfield University)Adapting to a changing climate - Jerry Knox (Cranfield University)
Adapting to a changing climate - Jerry Knox (Cranfield University)
 
System for monitoring diabetes
System for monitoring diabetesSystem for monitoring diabetes
System for monitoring diabetes
 
NID1 and NUPR1 are ETV5 regulated genes involved in endometrial tumor dissemi...
NID1 and NUPR1 are ETV5 regulated genes involved in endometrial tumor dissemi...NID1 and NUPR1 are ETV5 regulated genes involved in endometrial tumor dissemi...
NID1 and NUPR1 are ETV5 regulated genes involved in endometrial tumor dissemi...
 
Innovative Radiotherapy In Hnc
Innovative Radiotherapy In HncInnovative Radiotherapy In Hnc
Innovative Radiotherapy In Hnc
 
Gorlin Group Talk Nov 2012
Gorlin Group Talk Nov 2012Gorlin Group Talk Nov 2012
Gorlin Group Talk Nov 2012
 
number of prescreptions
number of prescreptionsnumber of prescreptions
number of prescreptions
 
Darzi10mins
Darzi10minsDarzi10mins
Darzi10mins
 
H1 Emission from Milky Way
H1 Emission from Milky WayH1 Emission from Milky Way
H1 Emission from Milky Way
 
Crystal Light Mocktails
Crystal Light MocktailsCrystal Light Mocktails
Crystal Light Mocktails
 
Peformance Comparison For Large Dsp(For Distribution)
Peformance Comparison For Large Dsp(For Distribution)Peformance Comparison For Large Dsp(For Distribution)
Peformance Comparison For Large Dsp(For Distribution)
 
CEI Email 2.28.03
CEI Email 2.28.03CEI Email 2.28.03
CEI Email 2.28.03
 
From temporal to static networks, and back
From temporal to static networks, and backFrom temporal to static networks, and back
From temporal to static networks, and back
 

Más de MedXellence

Berwick the triple aim - care, health, and cost
Berwick   the triple aim - care, health, and costBerwick   the triple aim - care, health, and cost
Berwick the triple aim - care, health, and cost
MedXellence
 
Session 11A - Increasing MTF Effectiveness & Efficiency
Session 11A -  Increasing MTF Effectiveness & EfficiencySession 11A -  Increasing MTF Effectiveness & Efficiency
Session 11A - Increasing MTF Effectiveness & Efficiency
MedXellence
 
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six SigmaSession 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
MedXellence
 
Session 7 - Patient Centered Care
Session 7 - Patient Centered CareSession 7 - Patient Centered Care
Session 7 - Patient Centered Care
MedXellence
 
Session 6D - MHS Vision
Session 6D - MHS VisionSession 6D - MHS Vision
Session 6D - MHS Vision
MedXellence
 
Session 6C - MHS Vision
Session 6C - MHS VisionSession 6C - MHS Vision
Session 6C - MHS Vision
MedXellence
 
Session 6B - MHS Vision
Session 6B -  MHS VisionSession 6B -  MHS Vision
Session 6B - MHS Vision
MedXellence
 
Session 6A - MHS Vision
Session 6A -  MHS VisionSession 6A -  MHS Vision
Session 6A - MHS Vision
MedXellence
 
Session 5 - Resource Management
Session 5 - Resource ManagementSession 5 - Resource Management
Session 5 - Resource Management
MedXellence
 
Session 4 - American Healthcare
Session 4 - American HealthcareSession 4 - American Healthcare
Session 4 - American Healthcare
MedXellence
 
Session 14 - Incorporating Improvement into Performance Plan
Session 14 - Incorporating Improvement into Performance PlanSession 14 - Incorporating Improvement into Performance Plan
Session 14 - Incorporating Improvement into Performance Plan
MedXellence
 
April2012 Course Schedule
April2012 Course Schedule  April2012 Course Schedule
April2012 Course Schedule
MedXellence
 

Más de MedXellence (20)

Berwick the triple aim - care, health, and cost
Berwick   the triple aim - care, health, and costBerwick   the triple aim - care, health, and cost
Berwick the triple aim - care, health, and cost
 
Session 11A - Increasing MTF Effectiveness & Efficiency
Session 11A -  Increasing MTF Effectiveness & EfficiencySession 11A -  Increasing MTF Effectiveness & Efficiency
Session 11A - Increasing MTF Effectiveness & Efficiency
 
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six SigmaSession 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
 
Session 7 - Patient Centered Care
Session 7 - Patient Centered CareSession 7 - Patient Centered Care
Session 7 - Patient Centered Care
 
Session 6D - MHS Vision
Session 6D - MHS VisionSession 6D - MHS Vision
Session 6D - MHS Vision
 
Session 6C - MHS Vision
Session 6C - MHS VisionSession 6C - MHS Vision
Session 6C - MHS Vision
 
Session 6B - MHS Vision
Session 6B -  MHS VisionSession 6B -  MHS Vision
Session 6B - MHS Vision
 
Session 6A - MHS Vision
Session 6A -  MHS VisionSession 6A -  MHS Vision
Session 6A - MHS Vision
 
Session 5 - Resource Management
Session 5 - Resource ManagementSession 5 - Resource Management
Session 5 - Resource Management
 
Session 4 - American Healthcare
Session 4 - American HealthcareSession 4 - American Healthcare
Session 4 - American Healthcare
 
Session 14 - Incorporating Improvement into Performance Plan
Session 14 - Incorporating Improvement into Performance PlanSession 14 - Incorporating Improvement into Performance Plan
Session 14 - Incorporating Improvement into Performance Plan
 
Online Session - Medical Executive Data
Online Session - Medical Executive DataOnline Session - Medical Executive Data
Online Session - Medical Executive Data
 
Session 1 Casestudy Introduction
Session 1   Casestudy IntroductionSession 1   Casestudy Introduction
Session 1 Casestudy Introduction
 
April2012 Course Schedule
April2012 Course Schedule  April2012 Course Schedule
April2012 Course Schedule
 
Session 4 American Healthcare - Meyer
Session 4   American Healthcare - MeyerSession 4   American Healthcare - Meyer
Session 4 American Healthcare - Meyer
 
Session 3 - Healthcare Policy Content - Diehl
Session 3 - Healthcare Policy Content - DiehlSession 3 - Healthcare Policy Content - Diehl
Session 3 - Healthcare Policy Content - Diehl
 
Session 1 - Case Study Content - Crawford
Session 1 - Case Study Content - CrawfordSession 1 - Case Study Content - Crawford
Session 1 - Case Study Content - Crawford
 
FACULTY BIOS
FACULTY BIOSFACULTY BIOS
FACULTY BIOS
 
Synopsis
SynopsisSynopsis
Synopsis
 
Online Session Accountability
Online Session  AccountabilityOnline Session  Accountability
Online Session Accountability
 

Último

The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
heathfieldcps1
 

Último (20)

Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdf
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.
 
Understanding Accommodations and Modifications
Understanding  Accommodations and ModificationsUnderstanding  Accommodations and Modifications
Understanding Accommodations and Modifications
 
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxPython Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docx
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan Fellows
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptx
 
Spatium Project Simulation student brief
Spatium Project Simulation student briefSpatium Project Simulation student brief
Spatium Project Simulation student brief
 
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
 
Dyslexia AI Workshop for Slideshare.pptx
Dyslexia AI Workshop for Slideshare.pptxDyslexia AI Workshop for Slideshare.pptx
Dyslexia AI Workshop for Slideshare.pptx
 
psychiatric nursing HISTORY COLLECTION .docx
psychiatric  nursing HISTORY  COLLECTION  .docxpsychiatric  nursing HISTORY  COLLECTION  .docx
psychiatric nursing HISTORY COLLECTION .docx
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
 
Magic bus Group work1and 2 (Team 3).pptx
Magic bus Group work1and 2 (Team 3).pptxMagic bus Group work1and 2 (Team 3).pptx
Magic bus Group work1and 2 (Team 3).pptx
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
 

Session 12 - Introduction to Information Tools

  • 1. Session 12: Performance Improvement Tools: Gathering the Evidence R.S. Crawford, III, MD, MBA rcrawford@usuhs.mil William Hirst, BSN, MPH, CPHQ MHirst@SouthcentralFoundation.com April 2012
  • 2. Setting the Stage Analyst Goal with Dr Crawford • Establish a working relationship, trust and listen  What insight does he already have • Assist in decreasing his level of uncertainty  This isn’t a research study • Provide useful information for decision support • Demonstrate actionable information tools for all staff  Executives  Managers  Front-end Staff
  • 3. Big Picture Population at Prevention Risk Recovery Incidence of Disability or Disease Case Management Level 1 Level 2 Prevalence of Level 3 Disability or Disease Level 4 Level 5 Death
  • 4. Mean 68.13 d l e n a p m P 0 1 / t s i V R E 60 65 70 75 80 9 0 - g u A 9 0 - p e S LCL 62.4 UCL 73.9 9 0 - t c O Mean 68.1 9 0 - v o N 9 0 - c e D 0 1 - n a J 0 1 - b e F 0 1 - r a M 0 1 - r p A 0 1 - y a M u J 0 1 - n 0 1 - l u J 0 1 - g u A 0 1 - p e S 0 1 - t c O 0 1 - v o N 0 1 - c e D 1 - n a J 1 - b e F ER Visits / 1000 Pt. Empanelled 1 - r a M 1 - r p A 1 - y a M u J 1 - n 1 - l u J 1 - g u A 1 - p e S 1 - t c O 75.2 77.5 1 - v o N 1 - c e D
  • 5. % 55 60 65 70 75 u A 9 0 - g 9 0 - p e S LCL 60.6 UCL 67.0 9 0 - t c O Mean 63.8 9 0 - v o N c 9 0 - e D 0 1 - n a J 0 1 - b e F 0 1 - r a M p A 0 1 - r 0 1 - y a M 0 1 - n u J 0 1 - l u J u A 0 1 - g 0 1 - p e S 0 1 - t c O 0 1 - v o N c 0 1 - e D 1 - n a J 1 - b e F 1 - r a M % ER Visits Between 0800 - 1700 p A 1 - r 1 - y a M 1 - n u J 1 - l u J u A 1 - g 1 - p e S 1 - t c O 70.3 1 - v o N c 1 - e D 69.8
  • 6. c a m h A 0 1 / t s i V R E 10 15 20 25 30 35 40 45 9 0 - g u A 9 0 - p e S LCL 16.5 UCL 37.2 9 0 - t c O Mean 26.8 v o N 9 0 - 9 0 - c e D 0 1 - n a J 0 1 - b e F 0 1 - r a M 0 1 - r p A 0 1 - y a M 0 1 - n u J 0 1 - l u J 0 1 - g u A 0 1 - p e S 0 1 - t c O v o N 0 1 - 0 1 - c e D 1 - n a J 1 - b e F ER Visits / 1000 Asthmatics 1 - r a M 1 - r p A 1 - y a M 1 - n u J 1 - l u J 1 - g u A 1 - p e S 1 - t c O v o N 1 - 40.2 1 - c e D
  • 7. Dec 11 Clinic ER Visits Total ER Visits per 1000 % of Total Empanelled Empanelled Visits Family Practice 1,844 17,500 105.37 79.31% Internal Med 97 2,500 38.80 4.17% Peds 384 10,000 38.40 16.52% Total 2,325 30,000 77.50 100.00% Dec 10 Clinic ER Visits Total ER Visits per 1000 % of Total Empanelled Empanelled Visits Family Practice 1,498 17,500 85.60 74.94% Internal Med 103 2,500 41.20 5.15% Peds 398 10,000 39.80 19.91% Total 1,999 30,000 66.63 100.00%
  • 8. Tricare Operations Center (TOC) http://mytoc.tma.osd.mil
  • 9. Visits with Assigned PCM (source: Tricare Operations Center) VALHALLA Family Medicine Clinic 44%
  • 10. Provider Schedule Report Determine Provider Availability: # Providers with Schedules VALHALLA FMC Provider Availability 50%
  • 11. Provider Schedule Report Clinic/Provider Specific with # of Appointments
  • 12. Template Analysis Tool (TAT) Overall Clinic Summary Views Clinic Location Provider Sum of Count 1400 ATC Category 1200 Slot Status (blank) - (blank) (blank) - Wellness - OPEN 1000 Wellness - FROZEN Wellness - CANCELLED Wellness - BOOKED 800 Specialty - OPEN Specialty - FROZEN Specialty - CANCELLED Specialty - BOOKED 600 Routine - OPEN Routine - FROZEN Routine - CANCELLED 400 Routine - BOOKED Other - OPEN Other - FROZEN Other - CANCELLED 200 Other - BOOKED Acute - OPEN Acute - FROZEN 0 Acute - CANCELLED 0 2 1 4 1 0 2 3 4 1 0 2 5 4 1 0 2 7 4 1 0 2 9 4 0 2 1 5 1 0 2 3 5 1 0 2 5 1 0 2 7 5 1 0 2 9 5 / / / / / / / / / / 0 2 1 4 0 2 3 1 4 0 2 5 1 4 0 2 7 1 4 0 2 9 1 4 0 1 2 4 1 0 3 2 4 1 0 5 2 4 1 0 7 2 4 1 0 9 2 4 0 2 1 5 0 2 3 1 5 0 2 1 5 0 2 7 1 5 0 2 9 1 5 0 1 2 5 1 0 3 2 5 1 0 2 5 1 0 7 2 5 1 0 9 2 5 0 2 1 3 5 / / / / / / / / / / / / / / / / / / / / / Appt Date
  • 13. 20 40 60 80 100 120 140 160 0 Appt Date 1 0 2 / 4 Clinic Location 1 0 2 3 / 4 Sum of Count 1 0 2 / 4 1 0 2 5 / 4 1 0 2 6 / 4 Provider 1 0 2 9 / 4 2 0 1 / 4 0 2 1 / 4 0 2 1 / 4 0 2 3 1 / 4 0 2 6 1 / 4 0 2 7 1 / 4 0 2 8 1 / 4 0 2 9 1 / 4 1 0 2 / 4 1 0 3 2 / 4 1 0 2 / 4 1 0 5 2 / 4 1 0 6 2 / 4 1 0 7 2 / 4 Template Analysis Tool (TAT) 1 2 0 3 / 4 0 2 1 / 5 1 0 2 / 5 1 0 2 3 / 5 1 0 2 4 / 5 1 0 2 7 / 5 1 0 2 8 / 5 1 0 2 9 / 5 2 0 1 / 5 0 2 1 / 5 0 2 4 1 / 5 0 2 1 / 5 0 2 6 1 / 5 0 2 7 1 / 5 0 2 8 1 / 5 0 1 2 / 5 1 0 2 / 5 1 0 3 2 / 5 1 0 4 2 / 5 ATC Category and Slot Status Dynamic Templates 1 0 2 / 5 1 0 9 2 / 5 1 2 0 3 / 5 0 2 1 3 / 5 Slot Status ATC Category Acute - OPEN Acute - FROZEN Acute - BOOKED
  • 14. Template Analysis Tool (TAT) Provider Specific Templates Clinic Location Provider Sum of Count 20 18 16 14 12 ATC Category Slot Status 10 Wellness - OPEN Wellness - BOOKED Routine - OPEN 8 Routine - BOOKED Acute - OPEN 6 Acute - BOOKED 4 2 0 1 0 2 4 1 0 2 3 4 1 0 2 4 1 0 2 5 4 1 0 2 6 4 1 0 2 9 4 0 2 1 5 1 0 2 5 1 0 2 3 5 1 0 2 4 5 1 0 2 7 5 1 0 2 8 5 1 0 2 9 5 / / / / / / / / / / / / / 2 0 1 4 0 2 1 4 0 2 1 4 0 2 3 1 4 0 2 6 1 4 1 0 3 2 4 1 0 2 4 1 0 5 2 4 1 0 6 2 4 1 0 7 2 4 1 2 0 3 4 2 0 1 5 0 2 1 5 0 2 4 1 5 0 2 1 5 0 1 2 5 1 0 2 5 1 0 3 2 5 1 0 4 2 5 1 0 9 2 5 1 2 0 3 5 0 2 1 3 5 / / / / / / / / / / / / / / / / / / / / / / Appt Date
  • 15. Access Management Report VALHALLA Family Medicine No Shows 11%
  • 16. No Show Appointments by Day CY 2011 # No-Show Appointments by Day (1 Jun 06 - 31 May 07) Family Med n=5720 (11% of 52,000 appts) 5720 100% 91% 90% 5005 81% 80% 4290 70% 66% 3575 60% Number 2860 50% 2117 40% 2145 37% 1659 30% 1430 858 20% 715 572 514 10% 0 0% Monday Friday Thursday Wednesday Tuesday
  • 17. No Shows by Day and Hr CY 2011 Monday No-Shows Family Med (1 June 06 - 31 May 07) n=2117 100% 98% 2000 96% 93% 89% 90% 84% 80% 78% 1500 70% 70% 1270 60% 60% Number 50% 1000 40% 30% 500 20% 212 169 127 105 10% 84 64 44 42 0 0% 0800-0859 0900-0959 1700-1759 1300-1359 1500-1559 1400-1459 1000-1059 1600-1659 1100-1159 Time of Day
  • 18. No Shows by Day and Hr CY 2011 Friday No-Shows Family Med (1 June 06 - 31 May 07) n=1659 100% 98% 96% 93% 1500 90% 90% 86% 80% 80% 70% 70% 1000 60% Number 50% 664 40% 40% 500 500 30% 20% 165 100 10% 66 50 49 34 31 0 0% 1700-1759 0800-0859 0900-0959 1300-1359 1400-1459 1000-1059 1100-1159 1600-1659 1500-1559 Time of Day
  • 19. Tricare Operations Center (TOC) Many More Reports • 3rd Next Available – under beta testing • Appointment Utilization • Access to Care Reports • Enrollment & Population Reports • Booked Management Report • Length of Stay
  • 20. Valhalla Findings • Provider availability ~ 50% last 12 mo • % of Appt with PCM is low (44%) • % of 3rd Next Available Acute Appointments meeting Access Standards (24hrs) is low in Family Medicine • Decrease in team continuity • Low appointment availability on peak days • Deployment in 6 months • No-show rates of 11% • Training during peak hours
  • 21. Potential Items Affecting Capacity • Provider availability / schedules / templates • Team experience and continuity • Provider specialties & manpower issues • No-show rates • Leave, TDY, Holiday’s • Additional duty, provider call • Procedures • Facility layout & Support services • Technology • Service level agreements with referrals • Don’t rely on historic utilization patterns
  • 23. Population Questions • Who are my patients? • What are their preventive service needs? • What conditions do they have? • Who are my high utilizers that may need case management? • How well am I doing in the management of their care? • HEDIS • Primary Care Medical Home • How do I forecast & manage the demand for services?
  • 24. Population Identification https://carepoint.afms.mil
  • 25. MHSPHP Data Sources DEERS M2 CHCS AdHocs Direct Care Purchased Care/Network PDTS Inpt and Outpt Inpt and Outpt TRICARE Mammography Enrollment Pap Smears Clinical Chemistry Enrollment MHS Population Health Portal
  • 30. MHSPHP Patient Detail •Last 3 B/P’s (currently from Clinical Data Repository) •Last 6 Labs (note labs in network have no values)
  • 31. MHSPHP Local Exclusions •Exclusions automatically expire after 1 year •Exclusions follow pt (new facility can validate or delete) •30 day flag before they expire •Different icon if exclusion was at other facility •Apply to Medical Home and Action Lists, not HEDIS
  • 32. MHSPHP Local Entered Notes •Notes are NOT MEDICAL RECORD •Stay forever unless deleted by user •System flags not when pt changes facility, new facility can validate it or delete it •Default is current list, can choose more than 1
  • 33. MHSPHP HEDIS & Medical Home •Score = Completed/Total as percentage •Score as compared to All HEDIS® measured health plans Green=Score is greater than 90th percentile Yellow= Score is between 50th and 90th percentile Red= score less than 50th percentile •Medical Home Completed/Medical Home Total •No benchmark for comparing medical home scores •Can be same, higher or even lower than HEDIS® score
  • 34. MHSPHP HEDIS & Medical Home
  • 35. Putting Carepoint to Work: Demand Forecasting
  • 36. Demand Forecasting • Daily Demand Forecasting: • Team huddles with integrated care team • Same reasons as inpatient report • Planning, Coordination, Safety • Demand Forecasting and Planning: • Deployment coming up in 6 months in which 6 of the 20 providers will be deployed. • If we decided to contract out Well Women Exams to include pap smears. How many would we need to contract out for? • School physical demand what can we expect? Do we need to adjust schedules?
  • 38. Demand Forecasting and Planning • Women 18 and older = 9231 9231/ @ least one Pap q3 yrs = ~3077/yr • Women 40 and older 2632/ @ least one Mammogram q 2 yrs = ~1316/yr • Children 5 years old ready to start school 256 School Physicals • 1 Jan 11 – 31 Dec 11 ~ 52,000 FMC Appts
  • 39. Putting Carepoint to Work: Demand Management
  • 40. High Utilizer Identification FICTITIOUS DATA
  • 42. d l e n a p m P 0 1 / t s i V R E 60 65 70 75 80 9 0 - g u A 9 0 - p e S MEAN 68.13 9 0 - t c O LCL 62.4 UCL 73.9 Mean 68.1 9 0 - v o N 9 0 - c e D 0 1 - n a J 0 1 - b e F 0 1 - r a M 0 1 - r p A 0 1 - y a M 0 1 - n u J 0 1 - l u J 0 1 - g u A 0 1 - p e S 0 1 - t c O 0 1 - v o N 0 1 - c e D 1 - n a J 1 - b e F 1 - r a M 1 - r p A ER Visits / 1000 Pt. Empanelled 1 - y a M 1 - n u J 1 - l u J 1 - g u A 1 - p e S 1 - t c O 75.2 1 - v o N 77.5 1 - c e D Mean 65.3 2 1 - n a J 2 1 - b e F 64.0 2 1 - r a M
  • 43. % 55 60 65 70 75 9 0 - g u A 9 0 - p e S LCL 60.6 9 0 - t c O UCL 67.0 Mean 63.8 9 0 - v o N 9 0 - c e D 0 1 - n a J 0 1 - b e F 0 1 - r a M 0 1 - r p A 0 1 - y a M 0 1 - n u J 0 1 - l u J 0 1 - g u A 0 1 - p e S 0 1 - t c O 0 1 - v o N 0 1 - c e D 1 - n a J 1 - b e F 1 - r a M 1 - r p A 1 - y a M % ER Visits Between 0800 - 1700 1 - n u J 1 - l u J 1 - g u A 1 - p e S 1 - t c O 70.3 1 - v o N 1 - c e D Mean 62.7 69.8 2 1 - n a J 2 1 - b e F 64.1 2 1 - r a M
  • 44. c a m h A 0 1 / t s i V R E 10 15 20 25 30 35 40 45 9 0 - g u A 9 0 - p e S UCL 37.2 LCL 16.5 9 0 - t c O Mean 26.8 9 0 - v o N 9 0 - c e D 0 1 - n a J 0 1 - b e F 0 1 - r a M 0 1 - r p A 0 1 - y a M 0 1 - n u J 0 1 - l u J 0 1 - g u A 0 1 - p e S 0 1 - t c O 0 1 - v o N 0 1 - c e D 1 - n a J 1 - b e F 1 - r a M ER Visits / 1000 Asthmatics 1 - r p A 1 - y a M 1 - n u J 1 - l u J 1 - g u A 1 - p e S 1 - t c O 1 - v o N 40.2 Mean 24.1 1 - c e D 2 1 - n a J 2 1 - b e F 22.8 2 1 - r a M
  • 45. Mar 12 Clinic ER Visits Total Empanelled ER Visits per 1000 % of Total Visits Empanelled Family Practice 1,450 17,500 82.86 75.40% Internal Med 100 2,500 40.00 5.20% Peds 373 10,000 37.30 19.40% Total 1,923 30,000 64.10 100.00% Dec 11 Clinic ER Visits Total Empanelled ER Visits per 1000 % of Total Visits Empanelled Family Practice 1,844 17,500 105.37 79.31% Internal Med 97 2,500 38.80 4.17% Peds 384 10,000 38.40 16.52% Total 2,325 30,000 77.50 100.00% Dec 10 Clinic ER Visits Total Empanelled ER Visits per 1000 % of Total Visits Empanelled Family Practice 1,498 17,500 85.60 74.94% Internal Med 103 2,500 41.20 5.15% Peds 398 10,000 39.80 19.91% Total 1,999 30,000 66.63 100.00%
  • 46. Patient Appointments with PCM (Goal 70%) Valhalla Medical Center (Jan – Mar 2012) Source: Tricare Operations Center MEPRS Clinic % with PCM Family Practice Clinic A (BGAB) 70.1 Family Practice Clinic B (BGAC) 67.5 Family Practice Clinic C (BGAD) 68.7
  • 47. Access to Care 3rd Next Available (Acute) - Goal 80%) Valhalla Medical Center (Jan – Mar 2012) Source: Tricare Operations Center MEPRS Clinic % @ Std Family Practice Clinic A (BGAB) 83.3 Family Practice Clinic B (BGAC) 87.2 Family Practice Clinic C (BGAD) 91.2

Notas del editor

  1. Critical Decision Making for Medical Executives: Keys to Improving Healthcare Delivery June 2010October 2007
  2. Critical Decision Making for Medical Executives: Keys to Improving Healthcare Delivery June 2010October 2007 October 2007 Critical Decision Making for Medical Executives: Keys to Improving Healthcare Delivery
  3. Critical Decision Making for Medical Executives: Keys to Improving Healthcare Delivery June 2010October 2007 Critical Decision Making for Medical Executives: Keys to Improving Healthcare Delivery
  4. Critical Decision Making for Medical Executives: Keys to Improving Healthcare Delivery June 2010October 2007 Also access to appointments and services (TRICARE Online)
  5. Critical Decision Making for Medical Executives: Keys to Improving Healthcare Delivery June 2010October 2007 Mike: You know Dr Crawford the questions you asked, fit perfectly into the MHS Population Health Model. You asked…. Mike: Ok enough about theory. Lets look at a couple of tools the MHS supports to answer your type of questions.
  6. Critical Decision Making for Medical Executives: Keys to Improving Healthcare Delivery June 2010October 2007 Critical Decision Making for Medical Executives: Keys to Improving Healthcare Delivery
  7. Critical Decision Making for Medical Executives: Keys to Improving Healthcare Delivery June 2010October 2007 Critical Decision Making for Medical Executives: Keys to Improving Healthcare Delivery