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March	
  21,	
  2014	
  
Commercial	
  Market	
  &	
  
Health	
  Insurance	
  
Exchanges	
  
	
  
©2013	
  
!  Increased	
  to	
  4.24	
  M	
  thru	
  Feb	
  	
  
!  3.3M	
  Through	
  Jan	
  
>  38%	
  State	
  Based	
  Marketplace:	
  1.6M	
  
>  62%	
  Federally	
  Facilitated	
  Marketplace:	
  
2.6M	
  
!  25%	
  ages	
  18-­‐34	
  (young	
  invincibles)	
  
!  45%	
  male;	
  55%	
  female	
  
	
  
	
  
	
  
	
  
Overall	
  Enrollment	
  
©2013	
  
3	
  
Enrollment	
  by	
  Metal	
  Level	
  
Bronze	
   Silver	
   Gold	
   PlaSnum	
   Catastrophic	
  
18%	
   63%	
   11%	
   6%	
   1%	
  
Bronze	
   Silver	
   Gold	
   PlaSnum	
   Catastrophic	
  
15%	
   66%	
   10%	
   5%	
   4%	
  
Overall	
  Enrollment	
  by	
  Metal	
  Level	
  
	
  
	
  
	
  
	
  
	
  
Young	
  Invincibles	
  by	
  Metal	
  Level	
  
	
  
©2013	
  
!  Financial	
  Assistance	
  
>  83%	
  of	
  Marketplace	
  enrollees	
  are	
  
receiving	
  financial	
  assistance	
  
– 81%	
  State	
  Based;	
  85%	
  Federal	
  Facilitated	
  
>  74%	
  with	
  financial	
  assistance	
  selected	
  a	
  	
  
Silver	
  plan	
  
!  Without	
  Financial	
  Assistance	
  
>  26%	
  Silver	
  plan	
  
>  30%	
  Bronze	
  plan	
  
Marketplace	
  &	
  Financial	
  Assistance	
  
©2013	
  
!   Marketplace	
  closes	
  
!   Off-­‐Exchange	
  enrollment	
  
!   Small	
  group	
  roll-­‐in	
  
>  Adding	
  to	
  the	
  risk	
  pool	
  
>  Mandate	
  postponed	
  &	
  revised	
  again	
  
!   SHOP	
  making	
  it’s	
  début	
  
!   Looking	
  to	
  next	
  year	
  
>  TransiMonal	
  policies	
  conMnue	
  
>  Fall	
  ElecMons	
  
>  Open	
  Enrollment:	
  Nov	
  15	
  through	
  Feb	
  15	
  
The	
  Rest	
  of	
  the	
  Enrollment	
  Story	
  
©2013	
  
Regulatory	
  Requirements	
  
6	
  
©2013	
  
7	
  
ComparaSve	
  Summary	
  of	
  Risk	
  Adjustment	
  Models	
  
MEDICAID	
   COMMERCIAL	
   MEDICARE	
  
Funding	
  Budget	
  
Plan	
  Revenue	
  Impact	
  
Risk	
  Model	
  
New	
  Enrollee	
  Timing	
  
Payment	
  Structure	
  
Risk	
  Pools	
  
Scoring	
  Requirement	
  
Submission	
  Protocol	
  
Score	
  Timing	
  
Audits	
  
State	
  budget	
  neutral;	
  
Affects	
  future	
  
reimbursement	
  
ACG(4);	
  CRG(1);	
  CDPS(18);	
  
MRX(6);	
  ERG(1);	
  DxCG(1)	
  	
  
Varies	
  3-­‐6	
  mos	
  
ProspecMve;	
  Aggregate	
  
Varies	
  by	
  aid	
  category	
  
Diagnosis	
  codes;	
  pharmacy	
  
Varies	
  by	
  state	
  
Annual;	
  Semi-­‐annual	
  
Limited	
   Annual	
  
Annual	
  by	
  April	
  30	
  
CMS	
  XML	
  format	
  
	
  on	
  Edge	
  server	
  
Paid	
  claims	
  diagnosis	
  
codes	
  +	
  procedures	
  codes	
  
Community;	
  metal	
  level	
  
Concurrent;	
  aggregate	
  
Immediate	
  
CMS	
  Commercial	
  HCC;	
  
except	
  MA	
  
Funds	
  transfer	
  
between	
  plans	
  
Government	
  unappropriated;	
  
Plans	
  subsidize	
  one	
  another	
  
Government	
  funded;	
  
Balanced	
  to	
  FFS	
  
No	
  downside	
  to	
  
underesMmate	
  RAF	
  
CMS	
  HCC/Rx	
  HCC;	
  
ESRD	
  
12	
  mos	
  
ProspecMve;	
  Individual	
  
Community;	
  	
  
InsMtuMonal,	
  ESRD	
  
Diagnosis	
  codes	
  
Jan/Mar/Sept	
  
Sporadic	
  RADV	
  
RAPS	
  submission;	
  
Encounters	
  soon	
  
ICD-­‐10	
  
Ouch!	
  
©2013	
  
8	
  
ACA	
  –	
  MA	
  RADV	
  Comparison	
  
	
  	
  
Commercial	
  
ACA	
  RADV	
  
Medicare	
  
MA	
  RADV	
  
Commercial	
  
ACA	
  RADV	
  
Medicare	
  
MA	
  RADV	
  
Audit	
  
EnSSes	
  
• MulMple	
  independent	
  IVA’s	
  may	
  
be	
  cerMfied	
  
• SVA	
  may	
  be	
  CMS	
  or	
  designee	
  
CMS;	
  
contracted	
  
to	
  HMS	
  
DocumentaSon	
  	
  
Enrollment,	
  medical	
  record,	
  
claims	
  	
  
Medical	
  
record	
  only	
  
Audited	
  
data	
  
All	
  risk	
  adjusMng	
  data:	
  	
  HCC	
  +	
  
demographics	
  +	
  claims	
  (poss)	
  
HCC	
  only	
  
DocumentaSon	
  
per	
  enrollee	
  	
  
• IVA	
  requires	
  yet	
  unspecified	
  
qty	
  of	
  records	
  per	
  enrollee;	
  	
  
• SVA	
  uses	
  IVA	
  docs,	
  	
  no	
  
addiMonal	
  records	
  submiied	
  
Up	
  to	
  5	
  in	
  
rank	
  order	
  
of	
  best	
  	
  
Sample	
  
Data	
  
Criteria	
  
• De-­‐idenMfied	
  	
  Edge	
  data	
  
• 1/3	
  w/o	
  HCC’s	
  
CMS	
  data;	
  12	
  
mos	
  MA	
  
enrollment	
  
Sample	
  Size	
  
200	
  per	
  issuer	
  per	
  state	
  for	
  
2014-­‐15	
  
	
  
201	
  
enrollees	
  
Sample	
  
• 9	
  strata:	
  age	
  bands	
  &	
  risk	
  level;	
  1	
  
strata	
  wi/o	
  HCC’s	
  
• Uses	
  issuer	
  actual	
  data	
  
• 3	
  risk	
  levels	
  
• 	
  Uses	
  issuer	
  
actual	
  data	
  
DOS/Provider	
  
Match	
  
Appears	
  to	
  be	
  a	
  criteria	
  
Not	
  
required	
  	
  
CalculaSng	
  
error	
  rate	
  
• Error	
  =	
  any	
  change	
  in	
  risk	
  score	
  
• By	
  the	
  IVA	
  
• Finalized	
  by	
  the	
  SVA:	
  IVA/SVA	
  
comparison	
  
Issuer	
  
submits	
  docs	
  
to	
  CMS,	
  CMS	
  
calculates	
  	
  
ApplicaSon	
  of	
  
Error	
  rate	
  
• Applied	
  to	
  each	
  issuer’s	
  plan	
  
in	
  the	
  state;	
  
• ProspecMve	
  year’s	
  funds	
  
transfer	
  formula	
  adjusted;	
  
	
  	
  
Individual	
  
at	
  issuer	
  
level	
  
Non-­‐
compliance	
  
• Default	
  error	
  rate	
  (highest	
  poss)	
  
• Civil	
  penalMes:	
  issuer	
  &	
  IVA	
  	
  
• Fraud	
  prosecuMon	
  
	
  	
   Funding	
   Issuer	
  funds	
  IVA	
   CMS	
  
©2013	
  
!   Select	
  one	
  or	
  more	
  IVA’s	
  by	
  March	
  31	
  each	
  year	
  
!   Validate	
  IVA	
  qualificaSons:	
  cerSfied	
  coders,	
  HIPAA,	
  	
  
!   Akest	
  to	
  the	
  absence	
  of	
  conflict	
  of	
  interest	
  	
  
>  Issuer	
  financial	
  ownership,	
  material	
  interest,	
  board/
leadership,	
  family	
  
>  IVA	
  has	
  no	
  role	
  in	
  any	
  “relevant	
  internal	
  controls	
  or	
  
serve	
  in	
  an	
  advisory	
  capacity	
  related	
  to	
  the	
  RADV	
  
>  Obtain	
  equivalent	
  aiestaMon	
  from	
  the	
  vendor	
  
!   Fund	
  the	
  IVA	
  audit	
  
!   ParScipate	
  in	
  mulSple	
  states	
  if	
  applicable	
  
!   Cross	
  walk	
  de-­‐idenSfied	
  sample	
  to	
  enrollee	
  data,	
  source	
  
enrollment	
  and	
  medical	
  records	
  
!   Securely	
  provide	
  data	
  to	
  IVA	
  
!   Establish	
  and	
  manage	
  IVA	
  Smeframes	
  
9	
  
Issuer	
  Requirements	
  
©2013	
  
10	
  
RADV	
  &	
  Funds	
  Transfer	
  Timing	
  
!   Two-­‐year	
  cycle	
  
!   ProspecSve	
  adjustment	
  to	
  funds	
  transfer	
  
Yr Operations Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec
2014 2014	
  Benefit	
  Year
2015	
  Benefit	
  Year
2015	
  Data	
  Activities
Rec	
  Funds	
  
Chg/Pay	
  2014	
  
data
2015	
  Audit	
  Activities
Submit	
  IVA	
  
to	
  CMS	
  
Receive	
  2014	
  
Sample
Begin	
  
2014	
  SVA
2016	
  Benefit	
  Year
2016	
  Data	
  Activites
Rec	
  Funds	
  
Chg/Pay	
  2015
Adj	
  for	
  2014	
  
RADV
Submit	
  
2015	
  IVA	
  to	
  
CMS
Receive	
  2015	
  
Sample
Begin	
  
2015	
  SVA
2014	
  Benefit	
  Year
2016	
  Benefit	
  Year
IVA	
  2015	
  Data:	
  results	
  to	
  CMS	
  Dec	
  1
2015
2016
2016	
  Audit	
  Activities
Finalize	
  Edge	
  server	
  2014	
  data
IVA	
  2014	
  Data:	
  results	
  to	
  CMS	
  Dec	
  1
SVA	
  2014	
  Data
SVA	
  2014	
  findings	
  
&	
  appeals
Finalize	
  Edge	
  server	
  2015	
  data
2015	
  Benefit	
  Year
©2013	
  
!   Data	
  Accuracy	
  ImperaSve	
  
>  Validates	
  ALL	
  data	
  related	
  to	
  the	
  risk	
  score	
  calculaMon:	
  
demographics,	
  health	
  status	
  and	
  possible	
  enrollment	
  and	
  
claims	
  
>  De-­‐idenMfied	
  sample	
  requires	
  reliable	
  common	
  files	
  
>  DOS	
  and	
  provider	
  matching	
  –	
  precision	
  claims	
  processing	
  
>  OperaMonal	
  planning:	
  correct	
  all	
  errors	
  
!   IVA	
  documentaSon	
  selecSon	
  process	
  cannot	
  be	
  
underesSmated	
  
!   Financial	
  projecSons	
  for	
  funds	
  transfer	
  formula	
  
!   Plan	
  for	
  addiSonal	
  scruSny	
  
>  Enrollment	
  
>  Subsidies	
  
>  False	
  Claims	
  Act	
  prosecuMon	
  
	
   11	
  
ACA-­‐RADV	
  Process	
  CauSons	
  
©2013	
  
!   Risk	
  Adjustment	
  
>  Focus	
  on	
  aspects	
  not	
  included	
  in	
  RADV;	
  plan	
  type	
  is	
  risk	
  
adjusMng,	
  renewal	
  data,	
  plan	
  size	
  
!   Reinsurance	
  
>  Targeted	
  contributors:	
  Enrollment	
  counts,	
  covered	
  lives	
  
and	
  payments	
  
>  Targeted	
  issuers:	
  plan	
  eligibility,	
  claims	
  (Edge	
  data)	
  
!   Risk	
  Corridor	
  
>  Robust	
  audit	
  (protecMng	
  federal	
  funds)	
  aligned	
  with	
  
MLR	
  audit	
  
>  ValidaMon	
  check	
  for	
  enrollment	
  and	
  premiums	
  on	
  the	
  
Edge	
  server	
  
>  Targeted	
  contributors	
  (est	
  1%);	
  Targeted	
  issuers	
  (est	
  
5%)	
  
12	
  
Other	
  Audits	
  
©2013	
  
13	
  
Audit	
  OperaSons	
  Checklist	
  
FuncSon	
   Risk	
  &	
  RADV	
  Vulnerability	
   OperaSonal	
  ConsideraSons	
  
Edge	
  Server	
  
Data	
  
• Correct	
  all	
  errors	
  
• De-­‐idenMficaMon	
  crosswalk	
  
• Claim-­‐DOS	
  Match	
  
Create	
  pre-­‐validaMon	
  rules	
  
	
  
Enrollment	
  
• Availability	
  of	
  data	
  	
  
• Grace	
  period	
  
• Plan	
  changes	
  
Include	
  enrollment	
  audit	
  with	
  
retrospecMve	
  process	
  
	
  
Claims	
  Systems	
  
• Custom	
  business	
  rules	
  
• Void/replace	
  process;	
  parMal	
  denials	
  
• Interim	
  bills	
  
• ICD-­‐10	
  conversion	
  
Incorporate	
  into	
  Edge	
  server	
  pre-­‐
validaMon	
  rules	
  
Risk	
  
Adjustment	
  
• Enrollment	
  Mming	
  
• ICD-­‐10	
  transiMon	
  
• Supplemental	
  data	
  submission	
  
Assume	
  assessments	
  and	
  retro	
  
charts	
  are	
  audited;	
  delete	
  codes	
  &	
  
linked	
  supplemental	
  data	
  
	
  
Providers	
  
• ICD-­‐10	
  TransiMon	
  
• Chart	
  retrieval	
  volume	
  
• DocumentaMon	
  accuracy	
  
IncenMves	
  for	
  chart	
  access;	
  	
  
Provider	
  panel	
  evaluaMon	
  
Finance	
   • Audit	
  funding	
  
• Funds	
  transfer	
  projecMons	
  
Crack	
  open	
  the	
  piggy	
  bank	
  
Compliance	
   • Audit	
  staffing	
   Evaluate	
  internal	
  resources	
  
©2013	
  
!   Following	
  established	
  Edge	
  server	
  communicaSons	
  with	
  HHS,	
  
issuers	
  are	
  expected	
  to	
  submit	
  quarterly:	
  “complete	
  and	
  
current	
  enrollment	
  file	
  and	
  a	
  good	
  faith	
  effort	
  for	
  accurate	
  
and	
  current	
  claims	
  files”	
  
>  TransacMonal	
  process	
  report—issuer	
  required	
  to	
  correct	
  
or	
  accept	
  the	
  rejecMon	
  
>  CMS	
  expects	
  issuers	
  to	
  proacMvely	
  idenMfy	
  and	
  correct	
  risk	
  
adjusMng	
  claims	
  	
  
!   CMS	
  provided	
  interim	
  report	
  
>  Preliminary	
  risk	
  scores	
  &	
  aggregated	
  claims	
  for	
  
reinsurance	
  
!   Issuer	
  response	
  required	
  	
  
>  Interim	
  report	
  30	
  days;	
  	
  	
  
>  15	
  days	
  for	
  final	
  report	
  issued	
  before	
  June	
  30	
  
14	
  
Distributed	
  Data	
  Requirements	
  Clarified	
  
©2013	
  
!   Default	
  risk	
  adjustment	
  charge;	
  several	
  opSons	
  
proposed	
  
>  Failure	
  to	
  set	
  up	
  an	
  Edge	
  server	
  
>  Inadequate	
  Data	
  
>  PMPM	
  based	
  on	
  a	
  fixed	
  %	
  of	
  the	
  state-­‐wide	
  
average	
  premium	
  and	
  enrollment	
  based	
  on	
  
MLR	
  or	
  risk	
  corridor	
  or	
  “other”	
  
!   Supplemental	
  data	
  submission	
  
>  Delete	
  codes	
  
>  Linked	
  to	
  a	
  paid	
  claim	
  
15	
  
AddiSonal	
  Distributed	
  Data	
  Requirements	
  
©2013	
  
!   Member	
  scoring	
  occurs	
  at	
  the	
  issuer	
  level;	
  	
  	
  
>  risk	
  scores	
  follow	
  the	
  member	
  within	
  the	
  issuer	
  
>  Requires	
  adequate	
  re-­‐idenMficaMon	
  process	
  
>  Not	
  linked	
  across	
  issuers	
  owned	
  by	
  the	
  same	
  company	
  
!   DOS	
  clarificaSon:	
  must	
  match	
  the	
  enrollment	
  period	
  
!   Grace	
  period	
  claims	
  will	
  only	
  be	
  counted	
  if	
  not	
  retro	
  
terminated	
  
>  Create	
  an	
  error	
  workflow	
  for	
  this	
  process	
  
!   No	
  change	
  to	
  the	
  geographic	
  cost	
  factor	
  calculaSon	
  
!   Small	
  group	
  counSng	
  methodology	
  consistent	
  with	
  SHOP	
  
methodology	
  
!  Small	
  groups	
  that	
  become	
  large	
  can	
  conMnue	
  in	
  risk	
  adjustment	
  
	
  
16	
  
Funds	
  Transfer	
  Formula	
  ClarificaSons	
  
©2013	
  
TargeSng	
  Strategy	
  
©2013	
  
!   Beyond	
  Risk	
  Adjustment:	
  	
  RetenSon	
  and	
  Care	
  Management	
  
!   Historically	
  reported	
  diagnoses	
  is	
  NOT	
  enough	
  
!   High	
  confidence	
  level	
  important	
  to	
  minimize	
  provider	
  &	
  member	
  abrasion	
  
>  Transparent	
  model	
  that	
  is	
  edited	
  based	
  on	
  results	
  
!   Supplemental	
  Data	
  
>  External	
  data	
  sources	
  based	
  on	
  enrollee	
  demographics	
  
!   Pharmacy	
  Data	
  
>  177,000	
  +	
  NDC’s	
  requires	
  consolidaMon	
  to	
  generic	
  product	
  indicator	
  
!   Client	
  Data	
  AddiSons	
  
>  Self-­‐reported	
  condiMons	
  (health	
  survey)	
  
>  Third	
  party	
  data,	
  such	
  as	
  underwriMng	
  data	
  
>  Prior	
  AuthorizaMon	
  data;	
  	
  Care	
  Management	
  data	
  	
  
!   Overall	
  model	
  modifiers	
  
>  Prevalence	
  rates	
  
>  Chronicity	
  
>  Code	
  Recoverability;	
  Provider	
  coding	
  paierns	
  
18	
  
TargeSng	
  AnalyScs:	
  Data	
  Sources	
  
©2013	
  
AdjusSng	
  PrioriSes	
  for	
  Prevalence	
  
HCC	
   HCC	
  Dx	
  Group	
  Label	
  
Weight
Exp	
  
Value
HCC	
   HCC	
  Dx	
  Group	
  Label	
  
Weight
Exp	
  
Value
HDX21 Hematological	
  Disorders 49.8 149.5 HDX21 Hematological	
  Disorders 49.8 149.5
HDX39 Severe	
  Respiratory	
  Conditions 40.1 40.1 HDX05 Cancer 25.2 75.5
HDX54 Renal	
  Disease 37.7 37.7 HDX39 Severe	
  Respiratory	
  Conditions 40.1 40.1
HDX40 Heart	
  Assistive	
  Device/Artificial	
  Heart	
  (G14)33.7 33.7 HDX11 Peritonitis/Gastrointestinal	
  Perforation/Necrotizing13.1 39.4
HDX05 Cancer 25.2 75.5 HDX54 Renal	
  Disease 37.7 37.7
HDX07 Protein-­‐Calorie	
  Malnutrition 14.8 14.8 HDX23 Addiction	
  (G09) 3.8 34.0
HDX02 Septicemia,	
  Sepsis,	
  Systemic	
  Inflammatory	
  Response	
  Syndrome/Shock13.7 13.7 HDX40 Heart	
  Assistive	
  Device/Artificial	
  Heart	
  (G14)33.7 33.7
HDX11 Peritonitis/Gastrointestinal	
  Perforation/Necrotizing	
  Enterocolitis13.1 39.4 HDX04 Opportunistic	
  Infections 9.7 29.0
HDX48 Arterial	
  Disease 11.9 11.9 HDX53 Aspiration	
  and	
  Specified	
  Bacterial	
  Pneumonias	
  and9.1 27.2
HDX42 Ischemic	
  Heart	
  Disease 11.9 11.9 HDX15 Arthropathy	
  /	
  Osteopathy	
  (G03) 7.9 23.6
©2013	
  
20	
  
Commercial	
  Risk	
  Adjustment	
  IntervenSon	
  Strategy	
  
• Outreach	
  &	
  Survey	
  
• Targeted	
  Appointment	
  
Assistance	
  
• Outreach	
  &	
  Survey	
  –	
  
mulSple	
  akempts	
  
• Appointment	
  Assistance	
  
&	
  IncenSve	
  
• Retro	
  Chart	
  Review	
  
• Outreach	
  condiSon-­‐based	
  
• Appointment	
  Assistance	
  &	
  
IncenSve	
  
• Concurrent	
  Chart	
  Review	
  
• Home	
  Assessment	
  (?)	
  
• Outreach	
  &	
  Survey	
  	
  
• Outreach	
  &	
  Survey	
  –	
  
mulSple	
  akempts	
  
• Appointment	
  Assistance	
  
• Outreach	
  condiSon-­‐based	
  
• Appointment	
  Assistance	
  &	
  
IncenSve	
  
• Retro	
  Chart	
  Review	
  
• Outreach	
  &	
  Survey	
  	
   • Outreach	
  &	
  Survey	
  	
  
• Outreach	
  condiSon-­‐based	
  
• Appointment	
  Assistance	
  &	
  
IncenSve	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Risk	
  Score	
  Gap	
  
	
  
	
  	
  	
  	
  	
  	
  Low	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Med	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  High	
  
PredicSve	
  AnalyScs	
  Confidence	
  Level	
  
	
  
	
  	
  	
  	
  	
  	
  Low	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Med	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  High	
  
Supplemental	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Rx	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Prevalence	
  &	
  Survey	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  
Messaging	
  Variables	
  
	
  	
  
•  Chronic	
  condiMon	
  
•  Subsidy	
  
•  Metal	
  Level	
  
•  New	
  to	
  the	
  Plan	
  
4%	
  
12%	
  
30%	
  
55%	
  50%	
  of	
  total	
  
populaSon	
  
©2013	
  
!   High	
  HCC	
  scores	
  create	
  economic	
  value	
  when	
  the	
  cost	
  of	
  
care	
  is	
  managed	
  
!   Data	
  accuracy	
  required:	
  	
  enrollment,	
  claims,	
  edge	
  server	
  
!   Enrollees	
  with	
  high	
  costs	
  and	
  missed	
  HCC’s	
  cause	
  economic	
  
loss	
  
!   ACA-­‐RADV	
  has	
  material	
  impact	
  
>  Provider	
  documentaMon	
  and	
  claims	
  processing	
  is	
  criMcal	
  
>  Expect	
  annual	
  adjustments	
  
!   ICD-­‐10	
  
!   Increased	
  reliance	
  on	
  the	
  provider	
  
>  Provider	
  claims	
  processing—for	
  risk	
  adjustment	
  and	
  
audit	
  
>  Provider	
  documentaMon—for	
  audit	
  purposes	
  
>  Provider	
  coding	
  errors—affects	
  risk	
  adjustment	
  and	
  
audits	
  
	
  	
  
Managing	
  the	
  Funds	
  Transfer	
  Formula	
  
21	
  
©2013	
  
!   Managing	
  mulSple	
  risk	
  models:	
  Medicare,	
  Medicaid,	
  
Commercial	
  
!   Market	
  changes	
  
>  Medicare,	
  Medicaid,	
  Commercial	
  volume	
  increases	
  
>  New	
  commercial	
  market	
  risk	
  adjustment	
  
documentaMon	
  requirements	
  
!   Limited	
  resources	
  
!   EMR	
  impact	
  to	
  billing	
  and	
  risk	
  scores	
  
!   TransiSon	
  to	
  ICD-­‐10	
  will	
  	
  
>  increase	
  edits/denials	
  
>  decrease	
  	
  claim	
  volume	
  and	
  coding	
  accuracy	
  
!   ICD-­‐10	
  for	
  Risk	
  Adjustment	
  
	
  
22	
  
Provider	
  ConsideraSons	
  
©2013	
  
!   Edge	
  server	
  data	
  transformaSon	
  
>  Adjust	
  infrastructure	
  	
  to	
  capture	
  new	
  required	
  data	
  elements	
  
>  Assess	
  impact	
  of	
  data	
  erosion	
  and	
  errors	
  
>  Evaluate	
  custom	
  claims	
  adjudicaMon	
  business	
  rules	
  
!   Outreach	
  Campaigns	
  
>  Cross	
  funcMonal	
  outreach	
  strategy:	
  risk	
  adjustment,	
  retenMon,	
  
uMlizaMon	
  
!   Analyze	
  historical	
  	
  Commercial	
  PopulaSon	
  	
  
>  Begin	
  looking	
  for	
  data	
  gaps	
  
!   Provider	
  financial	
  impact	
  planning	
  &	
  Engagement	
  Strategy	
  
>  Provider	
  panel	
  analysis	
  
!   ICD-­‐10	
  risk	
  adjustment	
  planning	
  
!   Establish	
  RADV	
  compliance	
  and	
  operaSons	
  teams	
  
!   Reinsurance	
  claims	
  monitoring	
  
!   Prepare	
  care	
  management	
  teams	
  based	
  on	
  new	
  plan	
  benefits	
  and	
  
populaSon	
  demographics	
  
	
  
Take	
  AcSon	
  Now	
  
23	
  
877.461.0415	
  |	
  Info@AltegraHealth.com	
  |	
  AltegraHealth.com	
  
Discussion	
  

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Commercial: Hurry Up and Wait - Where to Focus Efforts as the Exchange Markets Unfold

  • 1. March  21,  2014   Commercial  Market  &   Health  Insurance   Exchanges    
  • 2. ©2013   !  Increased  to  4.24  M  thru  Feb     !  3.3M  Through  Jan   >  38%  State  Based  Marketplace:  1.6M   >  62%  Federally  Facilitated  Marketplace:   2.6M   !  25%  ages  18-­‐34  (young  invincibles)   !  45%  male;  55%  female           Overall  Enrollment  
  • 3. ©2013   3   Enrollment  by  Metal  Level   Bronze   Silver   Gold   PlaSnum   Catastrophic   18%   63%   11%   6%   1%   Bronze   Silver   Gold   PlaSnum   Catastrophic   15%   66%   10%   5%   4%   Overall  Enrollment  by  Metal  Level             Young  Invincibles  by  Metal  Level    
  • 4. ©2013   !  Financial  Assistance   >  83%  of  Marketplace  enrollees  are   receiving  financial  assistance   – 81%  State  Based;  85%  Federal  Facilitated   >  74%  with  financial  assistance  selected  a     Silver  plan   !  Without  Financial  Assistance   >  26%  Silver  plan   >  30%  Bronze  plan   Marketplace  &  Financial  Assistance  
  • 5. ©2013   !   Marketplace  closes   !   Off-­‐Exchange  enrollment   !   Small  group  roll-­‐in   >  Adding  to  the  risk  pool   >  Mandate  postponed  &  revised  again   !   SHOP  making  it’s  début   !   Looking  to  next  year   >  TransiMonal  policies  conMnue   >  Fall  ElecMons   >  Open  Enrollment:  Nov  15  through  Feb  15   The  Rest  of  the  Enrollment  Story  
  • 7. ©2013   7   ComparaSve  Summary  of  Risk  Adjustment  Models   MEDICAID   COMMERCIAL   MEDICARE   Funding  Budget   Plan  Revenue  Impact   Risk  Model   New  Enrollee  Timing   Payment  Structure   Risk  Pools   Scoring  Requirement   Submission  Protocol   Score  Timing   Audits   State  budget  neutral;   Affects  future   reimbursement   ACG(4);  CRG(1);  CDPS(18);   MRX(6);  ERG(1);  DxCG(1)     Varies  3-­‐6  mos   ProspecMve;  Aggregate   Varies  by  aid  category   Diagnosis  codes;  pharmacy   Varies  by  state   Annual;  Semi-­‐annual   Limited   Annual   Annual  by  April  30   CMS  XML  format    on  Edge  server   Paid  claims  diagnosis   codes  +  procedures  codes   Community;  metal  level   Concurrent;  aggregate   Immediate   CMS  Commercial  HCC;   except  MA   Funds  transfer   between  plans   Government  unappropriated;   Plans  subsidize  one  another   Government  funded;   Balanced  to  FFS   No  downside  to   underesMmate  RAF   CMS  HCC/Rx  HCC;   ESRD   12  mos   ProspecMve;  Individual   Community;     InsMtuMonal,  ESRD   Diagnosis  codes   Jan/Mar/Sept   Sporadic  RADV   RAPS  submission;   Encounters  soon   ICD-­‐10   Ouch!  
  • 8. ©2013   8   ACA  –  MA  RADV  Comparison       Commercial   ACA  RADV   Medicare   MA  RADV   Commercial   ACA  RADV   Medicare   MA  RADV   Audit   EnSSes   • MulMple  independent  IVA’s  may   be  cerMfied   • SVA  may  be  CMS  or  designee   CMS;   contracted   to  HMS   DocumentaSon     Enrollment,  medical  record,   claims     Medical   record  only   Audited   data   All  risk  adjusMng  data:    HCC  +   demographics  +  claims  (poss)   HCC  only   DocumentaSon   per  enrollee     • IVA  requires  yet  unspecified   qty  of  records  per  enrollee;     • SVA  uses  IVA  docs,    no   addiMonal  records  submiied   Up  to  5  in   rank  order   of  best     Sample   Data   Criteria   • De-­‐idenMfied    Edge  data   • 1/3  w/o  HCC’s   CMS  data;  12   mos  MA   enrollment   Sample  Size   200  per  issuer  per  state  for   2014-­‐15     201   enrollees   Sample   • 9  strata:  age  bands  &  risk  level;  1   strata  wi/o  HCC’s   • Uses  issuer  actual  data   • 3  risk  levels   •   Uses  issuer   actual  data   DOS/Provider   Match   Appears  to  be  a  criteria   Not   required     CalculaSng   error  rate   • Error  =  any  change  in  risk  score   • By  the  IVA   • Finalized  by  the  SVA:  IVA/SVA   comparison   Issuer   submits  docs   to  CMS,  CMS   calculates     ApplicaSon  of   Error  rate   • Applied  to  each  issuer’s  plan   in  the  state;   • ProspecMve  year’s  funds   transfer  formula  adjusted;       Individual   at  issuer   level   Non-­‐ compliance   • Default  error  rate  (highest  poss)   • Civil  penalMes:  issuer  &  IVA     • Fraud  prosecuMon       Funding   Issuer  funds  IVA   CMS  
  • 9. ©2013   !   Select  one  or  more  IVA’s  by  March  31  each  year   !   Validate  IVA  qualificaSons:  cerSfied  coders,  HIPAA,     !   Akest  to  the  absence  of  conflict  of  interest     >  Issuer  financial  ownership,  material  interest,  board/ leadership,  family   >  IVA  has  no  role  in  any  “relevant  internal  controls  or   serve  in  an  advisory  capacity  related  to  the  RADV   >  Obtain  equivalent  aiestaMon  from  the  vendor   !   Fund  the  IVA  audit   !   ParScipate  in  mulSple  states  if  applicable   !   Cross  walk  de-­‐idenSfied  sample  to  enrollee  data,  source   enrollment  and  medical  records   !   Securely  provide  data  to  IVA   !   Establish  and  manage  IVA  Smeframes   9   Issuer  Requirements  
  • 10. ©2013   10   RADV  &  Funds  Transfer  Timing   !   Two-­‐year  cycle   !   ProspecSve  adjustment  to  funds  transfer   Yr Operations Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec 2014 2014  Benefit  Year 2015  Benefit  Year 2015  Data  Activities Rec  Funds   Chg/Pay  2014   data 2015  Audit  Activities Submit  IVA   to  CMS   Receive  2014   Sample Begin   2014  SVA 2016  Benefit  Year 2016  Data  Activites Rec  Funds   Chg/Pay  2015 Adj  for  2014   RADV Submit   2015  IVA  to   CMS Receive  2015   Sample Begin   2015  SVA 2014  Benefit  Year 2016  Benefit  Year IVA  2015  Data:  results  to  CMS  Dec  1 2015 2016 2016  Audit  Activities Finalize  Edge  server  2014  data IVA  2014  Data:  results  to  CMS  Dec  1 SVA  2014  Data SVA  2014  findings   &  appeals Finalize  Edge  server  2015  data 2015  Benefit  Year
  • 11. ©2013   !   Data  Accuracy  ImperaSve   >  Validates  ALL  data  related  to  the  risk  score  calculaMon:   demographics,  health  status  and  possible  enrollment  and   claims   >  De-­‐idenMfied  sample  requires  reliable  common  files   >  DOS  and  provider  matching  –  precision  claims  processing   >  OperaMonal  planning:  correct  all  errors   !   IVA  documentaSon  selecSon  process  cannot  be   underesSmated   !   Financial  projecSons  for  funds  transfer  formula   !   Plan  for  addiSonal  scruSny   >  Enrollment   >  Subsidies   >  False  Claims  Act  prosecuMon     11   ACA-­‐RADV  Process  CauSons  
  • 12. ©2013   !   Risk  Adjustment   >  Focus  on  aspects  not  included  in  RADV;  plan  type  is  risk   adjusMng,  renewal  data,  plan  size   !   Reinsurance   >  Targeted  contributors:  Enrollment  counts,  covered  lives   and  payments   >  Targeted  issuers:  plan  eligibility,  claims  (Edge  data)   !   Risk  Corridor   >  Robust  audit  (protecMng  federal  funds)  aligned  with   MLR  audit   >  ValidaMon  check  for  enrollment  and  premiums  on  the   Edge  server   >  Targeted  contributors  (est  1%);  Targeted  issuers  (est   5%)   12   Other  Audits  
  • 13. ©2013   13   Audit  OperaSons  Checklist   FuncSon   Risk  &  RADV  Vulnerability   OperaSonal  ConsideraSons   Edge  Server   Data   • Correct  all  errors   • De-­‐idenMficaMon  crosswalk   • Claim-­‐DOS  Match   Create  pre-­‐validaMon  rules     Enrollment   • Availability  of  data     • Grace  period   • Plan  changes   Include  enrollment  audit  with   retrospecMve  process     Claims  Systems   • Custom  business  rules   • Void/replace  process;  parMal  denials   • Interim  bills   • ICD-­‐10  conversion   Incorporate  into  Edge  server  pre-­‐ validaMon  rules   Risk   Adjustment   • Enrollment  Mming   • ICD-­‐10  transiMon   • Supplemental  data  submission   Assume  assessments  and  retro   charts  are  audited;  delete  codes  &   linked  supplemental  data     Providers   • ICD-­‐10  TransiMon   • Chart  retrieval  volume   • DocumentaMon  accuracy   IncenMves  for  chart  access;     Provider  panel  evaluaMon   Finance   • Audit  funding   • Funds  transfer  projecMons   Crack  open  the  piggy  bank   Compliance   • Audit  staffing   Evaluate  internal  resources  
  • 14. ©2013   !   Following  established  Edge  server  communicaSons  with  HHS,   issuers  are  expected  to  submit  quarterly:  “complete  and   current  enrollment  file  and  a  good  faith  effort  for  accurate   and  current  claims  files”   >  TransacMonal  process  report—issuer  required  to  correct   or  accept  the  rejecMon   >  CMS  expects  issuers  to  proacMvely  idenMfy  and  correct  risk   adjusMng  claims     !   CMS  provided  interim  report   >  Preliminary  risk  scores  &  aggregated  claims  for   reinsurance   !   Issuer  response  required     >  Interim  report  30  days;       >  15  days  for  final  report  issued  before  June  30   14   Distributed  Data  Requirements  Clarified  
  • 15. ©2013   !   Default  risk  adjustment  charge;  several  opSons   proposed   >  Failure  to  set  up  an  Edge  server   >  Inadequate  Data   >  PMPM  based  on  a  fixed  %  of  the  state-­‐wide   average  premium  and  enrollment  based  on   MLR  or  risk  corridor  or  “other”   !   Supplemental  data  submission   >  Delete  codes   >  Linked  to  a  paid  claim   15   AddiSonal  Distributed  Data  Requirements  
  • 16. ©2013   !   Member  scoring  occurs  at  the  issuer  level;       >  risk  scores  follow  the  member  within  the  issuer   >  Requires  adequate  re-­‐idenMficaMon  process   >  Not  linked  across  issuers  owned  by  the  same  company   !   DOS  clarificaSon:  must  match  the  enrollment  period   !   Grace  period  claims  will  only  be  counted  if  not  retro   terminated   >  Create  an  error  workflow  for  this  process   !   No  change  to  the  geographic  cost  factor  calculaSon   !   Small  group  counSng  methodology  consistent  with  SHOP   methodology   !  Small  groups  that  become  large  can  conMnue  in  risk  adjustment     16   Funds  Transfer  Formula  ClarificaSons  
  • 18. ©2013   !   Beyond  Risk  Adjustment:    RetenSon  and  Care  Management   !   Historically  reported  diagnoses  is  NOT  enough   !   High  confidence  level  important  to  minimize  provider  &  member  abrasion   >  Transparent  model  that  is  edited  based  on  results   !   Supplemental  Data   >  External  data  sources  based  on  enrollee  demographics   !   Pharmacy  Data   >  177,000  +  NDC’s  requires  consolidaMon  to  generic  product  indicator   !   Client  Data  AddiSons   >  Self-­‐reported  condiMons  (health  survey)   >  Third  party  data,  such  as  underwriMng  data   >  Prior  AuthorizaMon  data;    Care  Management  data     !   Overall  model  modifiers   >  Prevalence  rates   >  Chronicity   >  Code  Recoverability;  Provider  coding  paierns   18   TargeSng  AnalyScs:  Data  Sources  
  • 19. ©2013   AdjusSng  PrioriSes  for  Prevalence   HCC   HCC  Dx  Group  Label   Weight Exp   Value HCC   HCC  Dx  Group  Label   Weight Exp   Value HDX21 Hematological  Disorders 49.8 149.5 HDX21 Hematological  Disorders 49.8 149.5 HDX39 Severe  Respiratory  Conditions 40.1 40.1 HDX05 Cancer 25.2 75.5 HDX54 Renal  Disease 37.7 37.7 HDX39 Severe  Respiratory  Conditions 40.1 40.1 HDX40 Heart  Assistive  Device/Artificial  Heart  (G14)33.7 33.7 HDX11 Peritonitis/Gastrointestinal  Perforation/Necrotizing13.1 39.4 HDX05 Cancer 25.2 75.5 HDX54 Renal  Disease 37.7 37.7 HDX07 Protein-­‐Calorie  Malnutrition 14.8 14.8 HDX23 Addiction  (G09) 3.8 34.0 HDX02 Septicemia,  Sepsis,  Systemic  Inflammatory  Response  Syndrome/Shock13.7 13.7 HDX40 Heart  Assistive  Device/Artificial  Heart  (G14)33.7 33.7 HDX11 Peritonitis/Gastrointestinal  Perforation/Necrotizing  Enterocolitis13.1 39.4 HDX04 Opportunistic  Infections 9.7 29.0 HDX48 Arterial  Disease 11.9 11.9 HDX53 Aspiration  and  Specified  Bacterial  Pneumonias  and9.1 27.2 HDX42 Ischemic  Heart  Disease 11.9 11.9 HDX15 Arthropathy  /  Osteopathy  (G03) 7.9 23.6
  • 20. ©2013   20   Commercial  Risk  Adjustment  IntervenSon  Strategy   • Outreach  &  Survey   • Targeted  Appointment   Assistance   • Outreach  &  Survey  –   mulSple  akempts   • Appointment  Assistance   &  IncenSve   • Retro  Chart  Review   • Outreach  condiSon-­‐based   • Appointment  Assistance  &   IncenSve   • Concurrent  Chart  Review   • Home  Assessment  (?)   • Outreach  &  Survey     • Outreach  &  Survey  –   mulSple  akempts   • Appointment  Assistance   • Outreach  condiSon-­‐based   • Appointment  Assistance  &   IncenSve   • Retro  Chart  Review   • Outreach  &  Survey     • Outreach  &  Survey     • Outreach  condiSon-­‐based   • Appointment  Assistance  &   IncenSve                                                                          Risk  Score  Gap                Low                                                                Med                                                      High   PredicSve  AnalyScs  Confidence  Level                Low                                                                                  Med                                                                  High   Supplemental                                                                Rx                                              Prevalence  &  Survey                                             Messaging  Variables       •  Chronic  condiMon   •  Subsidy   •  Metal  Level   •  New  to  the  Plan   4%   12%   30%   55%  50%  of  total   populaSon  
  • 21. ©2013   !   High  HCC  scores  create  economic  value  when  the  cost  of   care  is  managed   !   Data  accuracy  required:    enrollment,  claims,  edge  server   !   Enrollees  with  high  costs  and  missed  HCC’s  cause  economic   loss   !   ACA-­‐RADV  has  material  impact   >  Provider  documentaMon  and  claims  processing  is  criMcal   >  Expect  annual  adjustments   !   ICD-­‐10   !   Increased  reliance  on  the  provider   >  Provider  claims  processing—for  risk  adjustment  and   audit   >  Provider  documentaMon—for  audit  purposes   >  Provider  coding  errors—affects  risk  adjustment  and   audits       Managing  the  Funds  Transfer  Formula   21  
  • 22. ©2013   !   Managing  mulSple  risk  models:  Medicare,  Medicaid,   Commercial   !   Market  changes   >  Medicare,  Medicaid,  Commercial  volume  increases   >  New  commercial  market  risk  adjustment   documentaMon  requirements   !   Limited  resources   !   EMR  impact  to  billing  and  risk  scores   !   TransiSon  to  ICD-­‐10  will     >  increase  edits/denials   >  decrease    claim  volume  and  coding  accuracy   !   ICD-­‐10  for  Risk  Adjustment     22   Provider  ConsideraSons  
  • 23. ©2013   !   Edge  server  data  transformaSon   >  Adjust  infrastructure    to  capture  new  required  data  elements   >  Assess  impact  of  data  erosion  and  errors   >  Evaluate  custom  claims  adjudicaMon  business  rules   !   Outreach  Campaigns   >  Cross  funcMonal  outreach  strategy:  risk  adjustment,  retenMon,   uMlizaMon   !   Analyze  historical    Commercial  PopulaSon     >  Begin  looking  for  data  gaps   !   Provider  financial  impact  planning  &  Engagement  Strategy   >  Provider  panel  analysis   !   ICD-­‐10  risk  adjustment  planning   !   Establish  RADV  compliance  and  operaSons  teams   !   Reinsurance  claims  monitoring   !   Prepare  care  management  teams  based  on  new  plan  benefits  and   populaSon  demographics     Take  AcSon  Now   23  
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