FDA’s Vision of Health IT - Montgomery County s Vision of Health IT Roselie A. Bright, ScD ......

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1 FDA’s Vision of Health IT Roselie A. Bright, ScD, MS, PMP Program Manager Office of Informatics and Technology Innovation Office of Operations Food and Drug Administration (FDA) [email protected] 2014 GovConNet Procurement Conference hosted by the Montgomery County Chamber of Commerce (MCCC) and Congressman Chris Van Hollen May 16, 2014

Transcript of FDA’s Vision of Health IT - Montgomery County s Vision of Health IT Roselie A. Bright, ScD ......

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FDA’s Vision of Health IT Roselie A. Bright, ScD, MS, PMP

Program Manager Office of Informatics and Technology Innovation

Office of Operations Food and Drug Administration (FDA)

[email protected]

2014  GovConNet  Procurement  Conference  hosted  by    

the  Montgomery  County  Chamber  of  Commerce  (MCCC)    and    

Congressman  Chris  Van  Hollen  

May 16, 2014

Topics  

•  Introduc:on:  the  vision  

•  Regula:on  of  Health  IT  §  FDA's  FDASIA  Health  IT  Report  §  So?ware  that  aids  clinical  interpretaBon  and  diagnosis    

•  Enabling  more  sophis:cated  Health  IT  §  openFDA  §  "Smart"  and  fast  digiBzaBon  of  paper  reports  §  Standards  for  idenBty    §  SenBnel  IniBaBve  §  Novel  adverse  event  surveillance  methods  §  ParBcipaBon  in  Health  IT  iniBaBves  

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Speaker  

•  MoCo  resident,  24  years  •  Recent  local  medical  emergency  •  Personal  Public  Service  Announcement:  

§  Most  people  with  a  blood  clot  in  their  leg  (Deep  Vein  Thrombosis  =  DVT)  don’t  have  any  signs  or  symptoms,  unBl  part  of  the  clot  moves  to  their  lungs  (Pulmonary  Embolism  =  PE)  and  quickly  threatens  death!  

•  PE:  20%  die  right  away;  40%  die  within  3  months.  •  PE  caused  by  DVT  might  be  responsible  for  >  100,000  deaths/yr,  as  of  2008.    It  could  

be  in  the  top  5  leading  causes  of  death  in  the  US.  §  Major  risk  factors  for  un-­‐hospitalized  people:  •  Obesity  •  Cancer  §  Major  trigger  event  in  un-­‐hospitalized  people:  sicng  sBll  for  hours                (airplane  rides,  computer  work,  video  games)  without  exercising  the  legs  

•  Pregnancy  •  Hormone  therapy  

•  Smoking  •  Age  •  Prior  DVT  

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Data  In

 Inform

a:on

 Out  

Data  Processing,  Analysis,  InterpretaBon;  Regulatory  Decisions  

Report    (adverse  event;  

study)  

Ac4ve  data  gathering  

Regulatory  ac4on  

Report  (adverse  event;  

study)  

Public  FDA  data;  le=ers;    

press  releases  

Direct  informa4on  transfer  

Introduc:on:  the  vision  (red  dots  outline  every  area  that  could  benefit  from  Health  IT)  

Data  CuraBon  

Regula:on  of  Health  IT  

•  MoBvaBon:  FDA  Safety  and  InnovaBon  Act  (FDASIA)  requires  FDA,  in  consultaBon  with  Office  of  the  NaBonal  Coordinator  for  Health  IT  (ONC)  and  FCC,  to  develop  and  post:  

“a  report  that  contains  a  proposed  strategy  and  recommendaBons  on  an  appropriate,  risk-­‐based  regulatory  framework  pertaining  to  health  informaBon  technology,  including  mobile  medical  applicaBons,  that  promotes  innovaBon,  protects  paBent  safety,  and  avoids  regulatory  duplicaBon.”  

•  FDASIA  Health  IT  Report:  Proposed  Strategy  and  RecommendaBons  for  a  Risk-­‐Based  Framework,  April  2014  §  hip://www.fda.gov/downloads/AboutFDA/CentersOffices/

OfficeofMedicalProductsandTobacco/CDRH/CDRHReports/UCM391521.pdf  

•  The  above  agencies  are  seeking  public  input  on  the  proposals  unBl  7/7/2014.  §  Workshop  held  May  13-­‐15.  §  InstrucBons  in  Federal  Register  noBce:  

hip://www.gpo.gov/fdsys/pkg/FR-­‐2014-­‐04-­‐07/html/2014-­‐07658.htm  

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Regula:on  of  Health  IT:  Proposed  Strategy  

Medical  device,  such  as:  •  Computer  aided  detecBon  so?ware  •  Remote  display  •  NoBficaBon  of  real-­‐Bme  alarms  from  bedside  monitors  •  RoboBc  surgical  planning  and  control  

Administra:ve,  such  as:  •  Scheduling  •  Billing  •  Claims  processing  

•  PracBce  management  •  Inventory  management  

Health  management,  such  as:  •  Health  informaBon  •  Data  exchange  •  Data  capture  •  Provider  order  entry  •  PaBent  ID  •  PaBent  matching  •  Knowledge  management  

•  Encounter  documentaBon  •  Electronic  access  to  clinical  results  • Most  clinical  decision  support  • MedicaBon  management  •  Electronic  communicaBon  and    

coordinaBon  

Health  IT  Func:onality  Risk  to  Pa:ent  

Safety   Oversight  

Limited  or  none  

Low  relaBve  to  benefits  

Dependent  on  device  

No  addiBonal  by  FDA  

No  addiBonal  by  FDA  

ConBnue  exisBng  

oversight  by  FDA  

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Regula:on  of  Health  IT:  Proposed  Priori:es  

Priority  Areas  I.  Promote  

 the  use    of  quality  

management  principles  

II.  IdenBfy,  develop,    and  adopt  standards  and  best  pracBces  

III.  Leverage  conformity  assessment  

tools  

IV.  Create  an  environment  of  learning  and  conBnual  improve-­‐  ment  

Cri4cal  Characteris4cs  for  each  Priority  Area  

A  risk-­‐based  approach  can  be  

used.  

Relevant  at  all  stages  of  the  

health  IT  product  lifecycle.    

Relevant  to  all  health  IT  stakeholders.    

Supports  both  innova@on  and  pa@ent  safety.    

Private  sector  can  play  a  strong  role.     7  

Regula:on  of  Health  IT:    Addi:onal  key  component  of  the  

health  management  health  IT  framework  

•  Health  IT  Safety  Center  §  To  be  created  by  ONC  in  collaboraBon  with  other  federal  and  non-­‐federal  stakeholders  

§  Public-­‐private  enBty  §  Convene  stakeholders  §  Focus  on  promoBng  health  IT  as  an  integral  part  of  paBent  safety  

§  Goal:  assisBng  in  the  creaBon  of  a  sustainable,  integrated  health  IT  learning  system  that  avoids  regulatory  duplicaBon  and  leverages  and  complements  exisBng  and  ongoing  efforts  

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Regula:on  of  Health  IT:  SoPware  that  aids  clinical  interpreta:on  and  diagnosis  

•  So?ware  is  in  many  medical  devices,    including:  §  Some  infusion  pumps  §  Some  blood  glucose  meters  §  Bedside  monitors  §  Computer-­‐aided  detecBon/  diagnosis  of  breast  cancer  in  screening  

images    §  LASIX  machines  §  Implantable  defibrillators  §  MRI  machines  §  DNA  probes  

•  RegulaBon  depends  on  the  usual  classificaBon  of  the  device.  hip://www.fda.gov/MedicalDevices/DeviceRegulaBonandGuidance/HowtoMarketYourDevice/default.htm  

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Enabling  more  sophis:cated  Health  IT:  openFDA  

§  Currently:  •  FDA.gov  is  cumbersome  to  use.  

o  Searches  are  difficult  o  User  must  separately  search  each  relevant  database  o  Large  downloadable  files  require  relaBvely  high  sophisBcaBon  by  the  user  

•  NaBonal  Library  of  Medicine,  part  of  NIH,  provides  some  FDA  databases  in  easy  to  use  format,  such  as  DailyMed  (searchable  database  of  labels  for  all  approved  drugs)  

§  OpenFDA  (open.fda.gov)  will  launch  this  fall.  

§  Responds  to  PresidenBal  ExecuBve  Orders  and  an  ExecuBve  Memo  from  the  Office  of  Science  and  Technology  Policy  (OSTP)    

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Enabling  more  sophis:cated  Health  IT:  openFDA  

§  Public  FDA-­‐regulated  product  informaBon  (DailyMed,  adverse  event  reports,  recalls)    

§  Tools  will  link  informaBon  across  FDA  databases  §  Data  in  a  form  that  is  easier  to  use  by:  

•  HIT  tools/apps:  encourage  developers  to  make  use  of  FDA  data  (primary  moBve)  o  Example  1:  User  types  their  medicaBons  into  a  phone  app  and  then  

is  noBfied  if  the  label  changes  or  there  is  a  recall  alert.  

•  individuals:  simple  built-­‐in  tools  to  allow  specific  searches  o  Example  2:  User  at  home  noBces  a  new  rash,  and  goes  to  openFDA  

to  find  out  if  this  rash  is  listed  for  drugs  the  user  takes,  or  if  FDA  has  received  reports  of  similar  rashes.  

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•  Currently,  FDA  sBll  receives  lots  of  documents                                          on  paper  

•  In  one  instance,  FDA:  §  Had  a  backlog  of  55,000  un-­‐digiBzed  adverse  drug  event  reports  §  A  data  entry  process  that  involved  humans  coding  terms  in  the  reports  and  typing  in  the  codes  and  text.  

§  FDA  successfully  piloted  digiBzaBon  of  adverse  drug  event  reports  §  The  vendor  used  a  new  process:    

•  Scanned  the  document.  •  Virtually  “shredded”  each  document  into  fields  •  Extracted  and  validated  the  data  in  the  fields  with  computer  algorithms  and  human  workers,  in  a  way  that  maintained  the  confidenBality  of  the  report  content.  

•  Accuracy  rate  was  very  high.  

Enabling  more  sophis:cated  Health  IT:    "Smart"  and  fast  digi:za:on  of  paper  reports  

 

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Enabling  more  sophis:cated  Health  IT:    Standards  for  Iden:ty    

DUNS  number,  from  Dun  &  Bradstreet  •  For  manufacturers,  firms,  distributors,  and  other  sponsors  of  FDA-­‐regulated  products  

•  For  other  reporters  of  adverse  events  that  are  a  business  

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Enabling  more  sophis:cated  Health  IT:    Standards  for  Iden:ty  

•  For  medical  devices:  §  Unique  Device  IdenBfier  (UDI)  

•  hip://www.fda.gov/udi  

•  Final  rule  was  released  9/24/2013  •  First  publicly  available  resource  to  definiBvely  idenBfy  a  medical  

device  •  Phased  implementa:on  deadlines,  all  on  9/24  (selected  

requirements):  

UDI  must  be  permanently  marked  on:  

Medical  Device  Class  

III   ILSLS*   II   I  

Labels  and  packages   2014   2015   2016   2018  

Device  itself,  if  to  be  reprocessed  and  re-­‐used  a?er  first  use   2016   2015   2018   2018  

*  Implantable,  life-­‐supporBng,  or  life-­‐sustaining  

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•  Benefits  of  implemenBng  UDI:  §  Enable  more  rapid  and  precise  ID  of  a  device.    

o Allow  more  accurate  reporBng,  reviewing  and  analyzing  of  adverse  event  reports.  

o Allow  manufacturers,  distributors  and  healthcare  faciliBes  to  more  effecBvely  manage  medical  device  recalls.    

§  Enable  a  standard  and  clear  way  to  document  device  use  in  electronic  health  records,  clinical  informaBon  systems,  claims  data,  and  registries.    o Allow  efficient  safety  and  effecBveness  monitoring  of  marketed  devices.  o  Leverage  to  support  new  uses  of  currently  marketed  devices.    

§  Help  address  counterfeiBng  and  diversion.  §  Help  prepare  for  medical  emergencies.    

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Enabling  more  sophis:cated  Health  IT:    Standards  for  Iden:ty  

Substance  Registra:on  System  (SRS)  -­‐  Unique  Ingredient  Iden:fier  (UNII)    

§  hip://www.fda.gov/forindustry/datastandards/substanceregistraBonsystem-­‐uniqueingredienBdenBfierunii/default.htm  

§  Ongoing  work  with  other  regulatory  agencies  and  the  industry  to  promote  adopBon  of  ISO  IdenBficaBon  of  Medicinal  Products  (IDMP)  standards.  As  an  ISO  compliant  system,  SRS  is  expected  to  be  authoritaBve  source  of  substance  informaBon  for  all  FDA-­‐regulated  products  

§  Allows  linkage  to  informaBon  about  the  same  or  similar  substances,  ingredients,  and  components.    Useful  for:  o  Public  transparency  related  to  allergies  and  sensiBviBes  o  Internal  review  of  adverse  event  reports,  to  understand  potenBal  scope  of  problem  and  evaluate  possible  mechanisms  of  the  adverse  event  

o  Internal  review  of  applicaBon  to  market  a  new  product  o  InvesBgaBng  potenBal  adulteraBon  or  counterfeiBng  

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Enabling  more  sophis:cated  Health  IT:    Standards  for  Iden:ty  

A  Collabora:ve  Effort  •  CollaboraBng  InsBtuBons    

§  Academic  partners:  planning,  safety  science,  operaBons,  data  methods,  analysis  methods,  protocol  methods  

§  Data  partners  §  Private:  Mini-­‐SenBnel  pilot  §  Public:  Federal  Partners  CollaboraBon  

•  Industry  §  ObservaBonal  Medical  Outcomes  Partnership  (OMOP),  now  

InnovaBon  in  Medical  Evidence  Development  and  Surveillance  (IMEDS)    

•  All  Stakeholders  §  Brookings  InsBtuBon  cooperaBve  agreement  on  topics  in  acBve  

surveillance  •  hip://www.fda.gov/Safety/FDAsSenBnelIniBaBve/default.htm  

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Enabling  more  sophis:cated  Health  IT:    Sen:nel  Ini:a:ve  

Enabling  more  sophis:cated  Health  IT:    Sen:nel  Ini:a:ve–  Mini-­‐Sen:nel  

•  Overall  purposes:  §  Evaluate  occurrences  of  parBcular  diagnoses,  health  outcomes,  and/or  

adverse  events  that  FDA  is  concerned  about  §  Evaluate  impact  of  regulatory  acBon  FDA  has  taken  

•  Funded  via  contract  •  All  reports  are  publicly  available  for  free  

§  StaBsBcal  methods  §  Common  data  model  §  IdenBficaBon  and  validaBon  of  health  outcomes  methods  §  Results  of  studies  

•  Public  comments  are  someBmes  sought  •  Protocols  are  available  for  anyone  to  use  on  their  own  data  •  www.mini-­‐senBnel.org    

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1-­‐  User  creates  and  submits  query    (a  computer  program)    2-­‐  Data  partners  retrieve  query      3-­‐  Data  partners  review  and  run  query  against  their  local  data    4-­‐  Data  partners  review  results      5-­‐  Data  partners    return  summary  results  via  secure  network/portal      6-­‐  Results  are  aggregated  

Enabling  more  sophis:cated  Health  IT:    Sen:nel  Ini:a:ve–  Mini-­‐Sen:nel  

Distributed  Analysis  

FDA  is  exploring:  •  Key  terms  used  in  social  media  or  internet  searches  •  Methods  that  don’t  pre-­‐suppose  the  range  of  adverse  events,  

that  can  be  used  real-­‐Bme  by  partners  in  their  electronic  health  record  databases  to  detect  that  something  new  is  occurring  

•  Analogous  to  so?ware  that  IT  security  departments  use  to  detect  unwanted  IT  system  intrusions,  or  that  NASA  uses  to  make  sure  rockets  are  sBll  fine  during  the  pre-­‐launch  and  launch  phases,  etc.  

•  Data  partners  would  do  the  monitoring  and  then  noBfy  FDA  and  each  other.  

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Enabling  more  sophis:cated  Health  IT:    Novel  adverse  event  surveillance  methods  

Enabling  more  sophis:cated  Health  IT:    FDA  par:cipa:on  in  Health  IT  groups/  ini:a:ves  

•  Federal-­‐level    §  Health  IT  R&D  Senior  Steering  Group  §  Federal  Health  Architecture  

•  Department-­‐level  (Department  of  Health  and  Human  Services)  §  CMS/ONC  Meaningful  Use  §  ONC  Health  InformaBon  Exchange  §  PaBent-­‐Centered  Outcomes  Research  (PCOR)  Trust  Fund  Inter-­‐Agency  Working  Group  

•  Private-­‐public  §  Center  of  Excellence  in  Regulatory  Science  and  InnovaBon                                      (CERSI)  at  U  Maryland  in  College  Park  and  BalBmore  

§  Health  Level  Seven  InternaBonal  §  Healthcare  InformaBon  and  Management  Systems  Society  (HIMSS)  

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