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iHT2 Health IT Summit
Atlanta, GA
April 24, 2013
John Doulis, M.D.
CIO
MedCare Investment Funds
The Chaos in Healthcare Today and
the Need for an Analytic Platform
 The problem
 The science
 Examples of the science at
work
Road Map
Clarion Call
Do the Right Thing
69.1% (1999)1984Cholesterol
Screening
75.5% (2001)1982Mammography
48.1% (2000)1981Diabetic Eye Exam
53% (2000)1977Pneumococcal
Vaccine
64% (2000)1968Flu Vaccine
Current rate of
use
Landmark TrialClinical
Procedure
Balas EA, Boren SA., Managing Clinical Knowledge for Health Care Improvement. Yearbook of
Medical Informatics 2000.
Do the Right Thing
Quality of Pneumonia Treatment for Elderly, 2002
63.1 67.9
81
29.6
0
10
20
30
40
50
60
70
80
90
100
Received 1st
dose of
antibiotic within
4 hours of
hospital arrival
Received
recommended
antibiotics
consistent with
current
guidelines
Have blood
cultures
collected before
antibiotics are
administered
Received all
recommended
treatment
regimens
Measure
Percentageofpatients
Source: Centers for Medicare & Medicaid Services, Quality Improvement Organization Program,
2002.
• 81% of Medicare
pneumonia
patients get blood
cultures before
antibiotics
• 68% get the right
antibiotics
• 63% get their
first antibiotic in a
timely manner
• Yet, only 30%
get all of three
recommended
interventions
Healthcare & Biomedical IT is HARD
 Individuals are highly variable biological systems.
 Clinical measurements rarely have precise meaning.
 Diagnoses lack clinical detail.
 Clinical work is a chaotic, opaque ecosystem.
 Perspectives vary by role.
Biomedical Informatics
Definition:
Science that deals with information, its structure, acquisition
and use
Cornerstones:
 Techniques to structure, discover, visualize & reason
with information content
 Approaches to link people, process & technology
together as a system
 Methods to evaluate systems and their technology
components
 Processes to facilitate change
Automation
Connectivity Decision
Support
Data Mining
Mismatch between Computational
Technique & Scale of Problem
Data Mining
Automation
Connectivit
y
Decision
Support
Aggregate
EHR
Disease
managemen
t dashboards
Work lists
Evidence-
based
advisors
Match Computational Approach to
Complexity of Data
Stead WW. Electronic Health Records. In: Rouse WB, Cortese DA, eds. Engineering the system of healthcare
delivery. Tennenbaum Institute Series on Enterprise Systems, Vol. 3. Amsterdam: IOS Press; 2009.
Managing Chaotic Events and Complexity
 Work at multiple scales
 Triangulate multiple signals for robustness
Satellite
Doppler Radar
Rain Gauge
R
E
P
O
S
I
T
O
R
I
E
S
•transaction
processing
•event life
cycle
Holistic Informatics
•modeling &
simulation
Plan
•optimization
algorithms
•surveillance
•visualization of
status
Activation
Task
Management
Informatics Foundation for Systems Approach to Care
•Signal capture
•edits
•robotics
Task
Performance
Analysis
Granular Automation
Architectural Components
EDW
REPOSITORIES
CLINICAL
DOCUMENTATION
CPOE
SCHEDULING &
THROUGHPUTS
ELIGIBILITY &
REGISTRATION
SUPPLY CHAIN
MATERIALS MGMT
PHARMACY
RADIOLOGY
LAB
HR
FINANCIAL
GIE
• Tagging
• Logging
• Protocol
Conversion
• One to Many
Communication
PATIENT
SUMMARY
SERVICE
HIGH
AVAILABILITY
CACHE
RULES
ENGINE
ALERTS
ENGINE
SOAWEBSERVICES
COMMUNICATION SUBSYSTEMTRANSACTION PROCESSING
SYNCHRONOUSASYNCHRONOUS
GENERAL
EXTERNALIZED
TABLES
ROLES
ORDERABLES
LABS
CDR
DEIDENTIFIED
IDENTIFIED
EDW
REPOSITORIES
CLINICAL
DOCUMENTATION
CPOE
SCHEDULING &
THROUGHPUTS
ELIGIBILITY &
REGISTRATION
SUPPLY CHAIN
MATERIALS MGMT
PHARMACY
RADIOLOGY
LAB
HR
FINANCIAL
GIE
• Tagging
• Logging
• Protocol
Conversion
• One to Many
Communication
PATIENT
SUMMARY
SERVICE
HIGH
AVAILABILITY
CACHE
RULES
ENGINE
ALERTS
ENGINE
SOAWEBSERVICES
COMMUNICATION SUBSYSTEMTRANSACTION PROCESSING
SYNCHRONOUSASYNCHRONOUS
GENERAL
EXTERNALIZED
TABLES
ROLES
ORDERABLES
LABS
CDR
DEIDENTIFIED
IDENTIFIED
Role
Specific
Views
EDW
REPOSITORIES
CLINICAL
DOCUMENTATION
CPOE
SCHEDULING &
THROUGHPUTS
ELIGIBILITY &
REGISTRATION
SUPPLY CHAIN
MATERIALS MGMT
PHARMACY
RADIOLOGY
LAB
HR
FINANCIAL
GIE
• Tagging
• Logging
• Protocol
Conversion
• One to Many
Communication
PATIENT
SUMMARY
SERVICE
HIGH
AVAILABILITY
CACHE
RULES
ENGINE
ALERTS
ENGINE
SOAWEBSERVICES
COMMUNICATION SUBSYSTEMTRANSACTION PROCESSING
SYNCHRONOUSASYNCHRONOUS
GENERAL
EXTERNALIZED
TABLES
ROLES
ORDERABLES
LABS
CDR
DEIDENTIFIED
IDENTIFIED
Research
EDW
REPOSITORIES
CLINICAL
DOCUMENTATION
CPOE
SCHEDULING &
THROUGHPUTS
ELIGIBILITY &
REGISTRATION
SUPPLY CHAIN
MATERIALS MGMT
PHARMACY
RADIOLOGY
LAB
HR
FINANCIAL
GIE
• Tagging
• Logging
• Protocol
Conversion
• One to Many
Communication
PATIENT
SUMMARY
SERVICE
HIGH
AVAILABILITY
CACHE
RULES
ENGINE
ALERTS
ENGINE
SOAWEBSERVICES
COMMUNICATION SUBSYSTEMTRANSACTION PROCESSING
SYNCHRONOUSASYNCHRONOUS
GENERAL
EXTERNALIZED
TABLES
ROLES
ORDERABLES
LABS
CDR
DEIDENTIFIED
IDENTIFIED
Dashboards
& Business
Intelligence
EDW
REPOSITORIES
CLINICAL
DOCUMENTATION
CPOE
SCHEDULING &
THROUGHPUTS
ELIGIBILITY &
REGISTRATION
SUPPLY CHAIN
MATERIALS MGMT
PHARMACY
RADIOLOGY
LAB
HR
FINANCIAL
GIE
• Tagging
• Logging
• Protocol
Conversion
• One to Many
Communication
PATIENT
SUMMARY
SERVICE
HIGH
AVAILABILITY
CACHE
RULES
ENGINE
ALERTS
ENGINE
SOAWEBSERVICES
COMMUNICATION SUBSYSTEMTRANSACTION PROCESSING
SYNCHRONOUSASYNCHRONOUS
GENERAL
EXTERNALIZED
TABLES
ROLES
ORDERABLES
LABS
CDR
DEIDENTIFIED
IDENTIFIED
WORKFLOW INTEGRATION
Role
Specific
Views
Research
& Education
PATIENT
MANAGEMENT
POPULATION
MANAGEMENT
z100 REPORTS
OPERATIONS
PLANNING &
FORECASTING
Dashboards
& Business
Intelligence
#1 Data
Aggregation, Information
Extraction &
Curation
Examples of
Informatics at Work
Systems (ADT, Lab,
Rad…)
Dictation/Transcription
Note Capture Tools
Sources
Image (PACS, EKG…)
Fax/Scan
Text
Reports
Externalize
Content as
Documents
Report Header
plus Pointer
to Image
Index each Word or
Number for Cross-
Patient Queries
Electronic
Patient Chart
Assemble “Documents”
By Patient
“Tag” Clinical
Concepts for
Curation and
Decision Support
Clinical Data Repository
Current Documentation
Document Oral
Care Here
Document
HOB Here
Examples of Informatics at
Work
#2 Closed loop quality control
Evidence-Based Contributions to
Ventilator Management
 Ventilator weaning protocol reduces vent time (Ely; NEJM
1996 Dec 19;335(25):1864-9 )
 Consistent use of low tidal volume and low airway pressures
reduces mortality by 25% (ARDS Network: NEJM 342: 1301-
8, 2000)
 Activated protein C for Sepsis reduces mortality by 20%
(Bernard; NEJM 2001 Mar 8;344(10):699-709)
 No need to normalize PCO2, drastic reduction in use of
arterial blood gases (ARDS Network: NEJM 342: 1301-
8, 2000)
 PA Catheters not beneficial, 90% reduction in use (ARDS
Network: NEJM 2006;354:2213-24)
 Consistent conservative use of fluids shortens ventilator time
by 3 days (ARDS Network: N Engl J Med 2006;354:2564-75)
 Wake up and breath; sedation holiday improves survival. (VU
Delirium Group: Lancet 2008 Jan 12;371(9607):126-34)
Evidence-based Medicine
Consistent Process
Visualization
of Results vs. Plan
Iterative
Improvement
Outcomes
Systems Approach to Care
Ventilator Management Dashboard
Improvement Opportunities (Z=100%)
TOTAL COMPLIANCE
Improved Performance (single unit)
November 2007 January 2008
February 2008
March 2008
Rateper1000VentDays
VAP Rates – VUH: All ICUs
Tangible Results (2008 – 2011)
1 SHEA Guideline, Infect Control Hosp Epidemiol 2007; 28:1121-1133: $22,875 per VAP ($9,986-$54,503), 9.8 day additional
LOS per VAP (7.4-11.5)
2 IHI 5 Million Lives Campaign: $40,000 per VAP
VAPs
Prevented
2008 82
2009 95
2010 140
2011 168
Total Prevented 485
$ Saved (SHEA)1 $11,091,955
$ Saved (IHI)2 $19,395,768
Hospital Days1 4752
ICU Days 1940
Deaths 73
UHC RANKING
O/E LOS O/E Cost
O/E
Mortality
>96 Hours on Vent 1 1 1
<96 Hours on Vent 2 6 3
Baseline: 18.1
Evidence-based Medicine
Consistent Process
Visualization
of Results vs. Plan
Iterative
Improvement
Outcomes
Systems Approach in Practice
Source: UHC and Vanderbilt Data
3. Mortality for Ventilator
Patients Compare to all
the other Hospitals
– Best in the U.S.
100
150
200
250
300
2005 2006 2007 2008 2009
1. Number of Ventilator
Acquired Pneumonia
(VAP) Cases/Year
Fiscal Year
2009
Results c/w
2008
VAPs
Prevented 108
Deaths
Avoided 16
$ Saved $4.3M
Hospital
Days
Avoided 1055
ICU Days
Avoided 431
2. Impact on Results
Systems Approach to Care
# 1
O/E Vent Mortality
O/E Length of Stay
O/E Cost
Congestive Heart Failure
 Surveillance Algorithm
 Integrated Decision Support
EDW
REPOSITORIES
CLINICAL
DOCUMENTATION
CPOE
SCHEDULING &
THROUGHPUTS
ELIGIBILITY &
REGISTRATION
SUPPLY CHAIN
MATERIALS MGMT
PHARMACY
RADIOLOGY
LAB
HR
FINANCIAL
GIE
• Tagging
• Logging
• Protocol
Conversion
• One to Many
Communication
PATIENT
SUMMARY
SERVICE
HIGH
AVAILABILITY
CACHE
RULES
ENGINE
ALERTS
ENGINE
SOAWEBSERVICES
COMMUNICATION SUBSYSTEMTRANSACTION PROCESSING
SYNCHRONOUSASYNCHRONOUS
GENERAL
EXTERNALIZED
TABLES
ROLES
ORDERABLES
LABS
CDW
DEIDENTIFIED
IDENTIFIED
WORKFLOW INTEGRATION
Role
Specific
Views
Research
& Education
BIOVU
REDCAP
PATIENT
MANAGEMENT
POPULATION
MANAGEMENT
z100 REPORTS
OPERATIONS
PLANNING &
FORECASTING
Dashboards
& Business
Intelligence
EDW
REPOSITORIES
PATIENT
SUMMARY
SERVICE
HIGH
AVAILABILITY
CACHE
RULES
ENGINE
ALERTS
ENGINE
SOAWEBSERVICES
COMMUNICATION SUBSYSTEM
SYNCHRONOUSASYNCHRONOUS
GENERAL
EXTERNALIZED
TABLES
ROLES
ORDERABLES
LABS
CDW
DEIDENTIFIED
IDENTIFIED
WORKFLOW INTEGRATION
Role
Specific
Views
Research
& Education
BIOVU
REDCAP
PATIENT
MANAGEMENT
POPULATION
MANAGEMENT
z100 REPORTS
OPERATIONS
PLANNING &
FORECASTING
Dashboards
& Business
Intelligence
GIE
• Tagging
• Logging
• Protocol
Conversion
• One to Many
Communication
1000
FactsperDecision
10
100
1990 2000 2010 2020
Human Cognitive
Capacity
Need for Patient-Specific Decision Support Assistance
Structural Genetics:
e.g. SNPs, haplotypes
Functional Genetics:
Gene expression
profiles
Proteomics and other
effector molecules
Decisions by
clinical
phenotype
i.e., traditional
health care
Summary
 Automation & connectivity get you only 60%
 In addition to automation and connectivity need to view
and leverage clinical systems for Information Liquidity
 Need for dashboards and knowledge engines that sit on
top of the information.
 Need BI/Analytics Platform that leverage the information.
 This architecture is scalable
 Managing Risk:
◦ What problems are worth solving (BI)
◦ Key interventions to reliably intervene (dashboards +
automation of decision support)

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iHT2 Health IT Summit Atlanta 2013 – John Doulis, MD , CIO, MedCare Investment Funds, Former Assistant Vice Chancellor – Health Affairs Chief Operations Officer – Informatics, Vanderbilt University - Case Study: "The Chaos in Health Care Today and

  • 1. iHT2 Health IT Summit Atlanta, GA April 24, 2013 John Doulis, M.D. CIO MedCare Investment Funds The Chaos in Healthcare Today and the Need for an Analytic Platform
  • 2.  The problem  The science  Examples of the science at work Road Map
  • 4. Do the Right Thing 69.1% (1999)1984Cholesterol Screening 75.5% (2001)1982Mammography 48.1% (2000)1981Diabetic Eye Exam 53% (2000)1977Pneumococcal Vaccine 64% (2000)1968Flu Vaccine Current rate of use Landmark TrialClinical Procedure Balas EA, Boren SA., Managing Clinical Knowledge for Health Care Improvement. Yearbook of Medical Informatics 2000.
  • 5. Do the Right Thing Quality of Pneumonia Treatment for Elderly, 2002 63.1 67.9 81 29.6 0 10 20 30 40 50 60 70 80 90 100 Received 1st dose of antibiotic within 4 hours of hospital arrival Received recommended antibiotics consistent with current guidelines Have blood cultures collected before antibiotics are administered Received all recommended treatment regimens Measure Percentageofpatients Source: Centers for Medicare & Medicaid Services, Quality Improvement Organization Program, 2002. • 81% of Medicare pneumonia patients get blood cultures before antibiotics • 68% get the right antibiotics • 63% get their first antibiotic in a timely manner • Yet, only 30% get all of three recommended interventions
  • 6. Healthcare & Biomedical IT is HARD  Individuals are highly variable biological systems.  Clinical measurements rarely have precise meaning.  Diagnoses lack clinical detail.  Clinical work is a chaotic, opaque ecosystem.  Perspectives vary by role.
  • 7. Biomedical Informatics Definition: Science that deals with information, its structure, acquisition and use Cornerstones:  Techniques to structure, discover, visualize & reason with information content  Approaches to link people, process & technology together as a system  Methods to evaluate systems and their technology components  Processes to facilitate change
  • 8. Automation Connectivity Decision Support Data Mining Mismatch between Computational Technique & Scale of Problem
  • 9. Data Mining Automation Connectivit y Decision Support Aggregate EHR Disease managemen t dashboards Work lists Evidence- based advisors Match Computational Approach to Complexity of Data Stead WW. Electronic Health Records. In: Rouse WB, Cortese DA, eds. Engineering the system of healthcare delivery. Tennenbaum Institute Series on Enterprise Systems, Vol. 3. Amsterdam: IOS Press; 2009.
  • 10. Managing Chaotic Events and Complexity  Work at multiple scales  Triangulate multiple signals for robustness Satellite Doppler Radar Rain Gauge
  • 11. R E P O S I T O R I E S •transaction processing •event life cycle Holistic Informatics •modeling & simulation Plan •optimization algorithms •surveillance •visualization of status Activation Task Management Informatics Foundation for Systems Approach to Care •Signal capture •edits •robotics Task Performance Analysis Granular Automation
  • 13. EDW REPOSITORIES CLINICAL DOCUMENTATION CPOE SCHEDULING & THROUGHPUTS ELIGIBILITY & REGISTRATION SUPPLY CHAIN MATERIALS MGMT PHARMACY RADIOLOGY LAB HR FINANCIAL GIE • Tagging • Logging • Protocol Conversion • One to Many Communication PATIENT SUMMARY SERVICE HIGH AVAILABILITY CACHE RULES ENGINE ALERTS ENGINE SOAWEBSERVICES COMMUNICATION SUBSYSTEMTRANSACTION PROCESSING SYNCHRONOUSASYNCHRONOUS GENERAL EXTERNALIZED TABLES ROLES ORDERABLES LABS CDR DEIDENTIFIED IDENTIFIED
  • 14. EDW REPOSITORIES CLINICAL DOCUMENTATION CPOE SCHEDULING & THROUGHPUTS ELIGIBILITY & REGISTRATION SUPPLY CHAIN MATERIALS MGMT PHARMACY RADIOLOGY LAB HR FINANCIAL GIE • Tagging • Logging • Protocol Conversion • One to Many Communication PATIENT SUMMARY SERVICE HIGH AVAILABILITY CACHE RULES ENGINE ALERTS ENGINE SOAWEBSERVICES COMMUNICATION SUBSYSTEMTRANSACTION PROCESSING SYNCHRONOUSASYNCHRONOUS GENERAL EXTERNALIZED TABLES ROLES ORDERABLES LABS CDR DEIDENTIFIED IDENTIFIED Role Specific Views
  • 15. EDW REPOSITORIES CLINICAL DOCUMENTATION CPOE SCHEDULING & THROUGHPUTS ELIGIBILITY & REGISTRATION SUPPLY CHAIN MATERIALS MGMT PHARMACY RADIOLOGY LAB HR FINANCIAL GIE • Tagging • Logging • Protocol Conversion • One to Many Communication PATIENT SUMMARY SERVICE HIGH AVAILABILITY CACHE RULES ENGINE ALERTS ENGINE SOAWEBSERVICES COMMUNICATION SUBSYSTEMTRANSACTION PROCESSING SYNCHRONOUSASYNCHRONOUS GENERAL EXTERNALIZED TABLES ROLES ORDERABLES LABS CDR DEIDENTIFIED IDENTIFIED Research
  • 16. EDW REPOSITORIES CLINICAL DOCUMENTATION CPOE SCHEDULING & THROUGHPUTS ELIGIBILITY & REGISTRATION SUPPLY CHAIN MATERIALS MGMT PHARMACY RADIOLOGY LAB HR FINANCIAL GIE • Tagging • Logging • Protocol Conversion • One to Many Communication PATIENT SUMMARY SERVICE HIGH AVAILABILITY CACHE RULES ENGINE ALERTS ENGINE SOAWEBSERVICES COMMUNICATION SUBSYSTEMTRANSACTION PROCESSING SYNCHRONOUSASYNCHRONOUS GENERAL EXTERNALIZED TABLES ROLES ORDERABLES LABS CDR DEIDENTIFIED IDENTIFIED Dashboards & Business Intelligence
  • 17. EDW REPOSITORIES CLINICAL DOCUMENTATION CPOE SCHEDULING & THROUGHPUTS ELIGIBILITY & REGISTRATION SUPPLY CHAIN MATERIALS MGMT PHARMACY RADIOLOGY LAB HR FINANCIAL GIE • Tagging • Logging • Protocol Conversion • One to Many Communication PATIENT SUMMARY SERVICE HIGH AVAILABILITY CACHE RULES ENGINE ALERTS ENGINE SOAWEBSERVICES COMMUNICATION SUBSYSTEMTRANSACTION PROCESSING SYNCHRONOUSASYNCHRONOUS GENERAL EXTERNALIZED TABLES ROLES ORDERABLES LABS CDR DEIDENTIFIED IDENTIFIED WORKFLOW INTEGRATION Role Specific Views Research & Education PATIENT MANAGEMENT POPULATION MANAGEMENT z100 REPORTS OPERATIONS PLANNING & FORECASTING Dashboards & Business Intelligence
  • 18. #1 Data Aggregation, Information Extraction & Curation Examples of Informatics at Work
  • 19. Systems (ADT, Lab, Rad…) Dictation/Transcription Note Capture Tools Sources Image (PACS, EKG…) Fax/Scan Text Reports Externalize Content as Documents Report Header plus Pointer to Image Index each Word or Number for Cross- Patient Queries Electronic Patient Chart Assemble “Documents” By Patient “Tag” Clinical Concepts for Curation and Decision Support Clinical Data Repository
  • 21. Examples of Informatics at Work #2 Closed loop quality control
  • 22. Evidence-Based Contributions to Ventilator Management  Ventilator weaning protocol reduces vent time (Ely; NEJM 1996 Dec 19;335(25):1864-9 )  Consistent use of low tidal volume and low airway pressures reduces mortality by 25% (ARDS Network: NEJM 342: 1301- 8, 2000)  Activated protein C for Sepsis reduces mortality by 20% (Bernard; NEJM 2001 Mar 8;344(10):699-709)  No need to normalize PCO2, drastic reduction in use of arterial blood gases (ARDS Network: NEJM 342: 1301- 8, 2000)  PA Catheters not beneficial, 90% reduction in use (ARDS Network: NEJM 2006;354:2213-24)  Consistent conservative use of fluids shortens ventilator time by 3 days (ARDS Network: N Engl J Med 2006;354:2564-75)  Wake up and breath; sedation holiday improves survival. (VU Delirium Group: Lancet 2008 Jan 12;371(9607):126-34)
  • 23. Evidence-based Medicine Consistent Process Visualization of Results vs. Plan Iterative Improvement Outcomes Systems Approach to Care
  • 26. Improved Performance (single unit) November 2007 January 2008 February 2008 March 2008
  • 28. Tangible Results (2008 – 2011) 1 SHEA Guideline, Infect Control Hosp Epidemiol 2007; 28:1121-1133: $22,875 per VAP ($9,986-$54,503), 9.8 day additional LOS per VAP (7.4-11.5) 2 IHI 5 Million Lives Campaign: $40,000 per VAP VAPs Prevented 2008 82 2009 95 2010 140 2011 168 Total Prevented 485 $ Saved (SHEA)1 $11,091,955 $ Saved (IHI)2 $19,395,768 Hospital Days1 4752 ICU Days 1940 Deaths 73 UHC RANKING O/E LOS O/E Cost O/E Mortality >96 Hours on Vent 1 1 1 <96 Hours on Vent 2 6 3 Baseline: 18.1
  • 29. Evidence-based Medicine Consistent Process Visualization of Results vs. Plan Iterative Improvement Outcomes Systems Approach in Practice
  • 30. Source: UHC and Vanderbilt Data 3. Mortality for Ventilator Patients Compare to all the other Hospitals – Best in the U.S. 100 150 200 250 300 2005 2006 2007 2008 2009 1. Number of Ventilator Acquired Pneumonia (VAP) Cases/Year Fiscal Year 2009 Results c/w 2008 VAPs Prevented 108 Deaths Avoided 16 $ Saved $4.3M Hospital Days Avoided 1055 ICU Days Avoided 431 2. Impact on Results Systems Approach to Care # 1 O/E Vent Mortality O/E Length of Stay O/E Cost
  • 31. Congestive Heart Failure  Surveillance Algorithm  Integrated Decision Support
  • 32. EDW REPOSITORIES CLINICAL DOCUMENTATION CPOE SCHEDULING & THROUGHPUTS ELIGIBILITY & REGISTRATION SUPPLY CHAIN MATERIALS MGMT PHARMACY RADIOLOGY LAB HR FINANCIAL GIE • Tagging • Logging • Protocol Conversion • One to Many Communication PATIENT SUMMARY SERVICE HIGH AVAILABILITY CACHE RULES ENGINE ALERTS ENGINE SOAWEBSERVICES COMMUNICATION SUBSYSTEMTRANSACTION PROCESSING SYNCHRONOUSASYNCHRONOUS GENERAL EXTERNALIZED TABLES ROLES ORDERABLES LABS CDW DEIDENTIFIED IDENTIFIED WORKFLOW INTEGRATION Role Specific Views Research & Education BIOVU REDCAP PATIENT MANAGEMENT POPULATION MANAGEMENT z100 REPORTS OPERATIONS PLANNING & FORECASTING Dashboards & Business Intelligence
  • 33. EDW REPOSITORIES PATIENT SUMMARY SERVICE HIGH AVAILABILITY CACHE RULES ENGINE ALERTS ENGINE SOAWEBSERVICES COMMUNICATION SUBSYSTEM SYNCHRONOUSASYNCHRONOUS GENERAL EXTERNALIZED TABLES ROLES ORDERABLES LABS CDW DEIDENTIFIED IDENTIFIED WORKFLOW INTEGRATION Role Specific Views Research & Education BIOVU REDCAP PATIENT MANAGEMENT POPULATION MANAGEMENT z100 REPORTS OPERATIONS PLANNING & FORECASTING Dashboards & Business Intelligence GIE • Tagging • Logging • Protocol Conversion • One to Many Communication
  • 34. 1000 FactsperDecision 10 100 1990 2000 2010 2020 Human Cognitive Capacity Need for Patient-Specific Decision Support Assistance Structural Genetics: e.g. SNPs, haplotypes Functional Genetics: Gene expression profiles Proteomics and other effector molecules Decisions by clinical phenotype i.e., traditional health care
  • 35. Summary  Automation & connectivity get you only 60%  In addition to automation and connectivity need to view and leverage clinical systems for Information Liquidity  Need for dashboards and knowledge engines that sit on top of the information.  Need BI/Analytics Platform that leverage the information.  This architecture is scalable  Managing Risk: ◦ What problems are worth solving (BI) ◦ Key interventions to reliably intervene (dashboards + automation of decision support)