kconnect - making medical information easier to find: semantic annotation and semantic search using...

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Research & Project Manager FINDWISE peter.voisey@findwise.com @Peter_G_Voisey Researcher & Principal InformaGon Strategist FINDWISE / Chalmers & GU fredric.ladnqvist@findwise.com [email protected] SemanGc AnnotaGon & SemanGc Search Länkade data i Sverige 2016 #LDSV

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Page 1: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data

Research  &  Project  Manager  FINDWISE  [email protected]  @Peter_G_Voisey  

Researcher  &  Principal  InformaGon  Strategist  FINDWISE  /  Chalmers  &  GU  [email protected]      [email protected]    

 SemanGc  AnnotaGon  &  SemanGc  Search  

Länkade  data  i  Sverige  2016    #LDSV  

Page 2: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data

Advanced  search  technologies  for  medical  informaGon  www.kconnect.eu        

13  European  partners:  SMEs,  UniversiGes  &  Health  AuthoriGes  

EU  InnovaGon  project  to  July  2017  

Be]er  use  of  medical  informaGon  

Page 3: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data

CollaboraGon  between:  Findwise  –  Qulturum  –  Medicinkliniken  at  Eksjö  

 

KConnect  at  Region  Jönköping  

Page 4: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data

KConnect  –  The  Aim  •  To  provide  be]er  medical  search  for  clinicians  

 &  researchers  in  their  daily  lives    

•  Increase  the  ‘findability’  of  informaGon  not  normally  designed  to  be  found  

 •  To  provide  the  most  helpful  &  up-­‐to-­‐date  

informaGon  from  silos  to  support  decision-­‐making  

 •  To  take  advantage  of  the  untapped  hidden  

textual  informaGon  within  EHRs  that  give  context  and  meaning  

Page 5: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data

Knowledge  Base  [KB]  

InformaGon  ExtracGon  [IE]  

SemanGc  AnnotaGon  [SA]  

SemanGc  Search  [SS]  

Machine  TranslaGon  [MT]  

Log  Analysis   Readability  

Trustability  

 Medical  Records  EHRs  

 Medical  

Publica2ons  

 Medical  

Guidelines  

 Systema2c    Reviews  

 Radiology  Reports  

 Medical  Websites  

Flexible  technology  stack  •  1.2  billion  medical  RDF  statements  

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Page 7: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data

RJL  use  case  architecture  

Page 8: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data

Knowledge  Base  

Annotated  texts  

Search  Inde

x  

Text  processing  and  machine  reading    

Search  Service  or  API  

LinguisGc  processing  

EHRs   Publ.  material  

Research   Other  sources  

Archives  

Uniform  terminologies  linking  informaGon  across  silos  

Page 9: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data

Knowledge  Base  

Annotated  texts  

Search  Inde

x  

Links  to  the  knowledge  base  

Search  Service  or  API  

LinguisGc  processing  

EHRs   Publ.  material  

Research   Other  sources  

Archives  

Find  documents  that  menGon  

drugs  

Page 10: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data

Knowledge  Base  

Annotated  texts  

Search  Inde

x  

Links  to  the  knowledge  base  

Search  Service  or  API  

LinguisGc  processing  

EHRs   Publ.  material  

Research   Other  sources  

Archives  

Find  documents  that  menGon  anG-­‐inflammatory  

drugs  

Page 11: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data

Knowledge  Base  

Annotated  texts  

Search  Inde

x  

Links  to  the  knowledge  base  

Search  Service  or  API  

LinguisGc  processing  

EHRs   Publ.  material  

Research   Other  sources  

Archives  

Find  documents  that  menGon  drugs  

used  to  treat  headaches  

Page 12: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data

Kunskapsbas  

Annotera  texter  

Sökind

ex  

Länka  text  Gll  kunskap  

Söktjänst  eller  API  

språklig  bearbetning  

 Journaler   Publ.  material  

Forskning   Andra  system  

Arkiv  

Find  documents  that  menGon  drugs  

used  to  treat  diseases  that  affect  

the  kidneys  

Page 13: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data

KConnect  at  RJL  Use  Case  &  Prototype  development  

Page 14: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data

"I  want  to  know  what  the  right  treatment  for  a  pa2ent's  symptoms”  

”I  want  to  compile  the  best    therapy  exercises  for  a  pa2ent  with  a  sore  knee  to  give  the  right  treatment"  

”Be=er  knowledge  of  the  symptoms  &  discomfort  of  illnesses  Their  descrip2on  and  iden2fica2on”  

"Could  these  symptoms  be  cancer?    Is  there  a  way  to  access  the  risk  of  cancer?”    

“Informa2on  for  Decision  Support”  

“The  treatment  basics”  "What  is  best  prac2ce?    Who  can  or  can’t  do  certain  procedures?"  

”How  to  know  the  best  test(s)  for  the  specific  symptoms/condi2ons  Be=er  inves2ga2on?  -­‐  Be=er  treatment”    

”I  want  to  know  how  to  care  for  a  person  aOer  surgery  to  ensure  the  right  controls  and  care  is  in  place"  

Focus  groups  

Page 15: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data

How  and  when  do  you  want  informa2on?    -­‐  When  you  meet  the  pa2ents,  before  or  aOer?    What  needs  do  you  see  for  an  IT  system?  What  is  important  to  you,  for  example:  User  friendliness?  Easy  access?  Func2onality?  Etc.?  

Focus  groups  

Page 16: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data

Many  informaGon  sources  to  answer  a  quesGon  

   

Internetmedicin  

UpToDate  

Pubmed/literature  databases/Journals  

PaGent’s  EHR  

Other  medical/drug  informaGon  sources  

NaGonal,  Regional  &  Local  guidelines    

Access  Medicine  

Problem  &    Ques2ons  

Oxford  Textbook  of  Medicine  

Page 17: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data

KConnect – search engine

Want to search in a patient EHR?

Journalutdrag etc.

Intagningsant.

Primärvård

What do you want help with daily?

Decision support

Do you want to which guideline to use?

National guidelines

Ex. FAKTA

Do want to know which the local guidelines to use?

PM

Riktlinjer Article 1.

Article 2.

Article 3.

Regional guidelines

Do you want to see the latest publications or medical literature?

What or how do you want to improve?

Improve knowledge

Care methods

Examples of best practice

Hjälp/Demo

?

UpToDate

Page 18: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data

Key  KConnect  concepts  Smart(er)  search    

Complex  queries    

Finding  unusual  diagnoses    

Support  for  new  /    inexperienced    doctors    

Fast  searches  under  pressure    

Reduce  human  error    

More  Gme  with  paGent  

   

Page 19: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data

KConnect  at  RJL?    •  Live  paGent  E.H.R.  ‘reading’  (overview  from  text  analysis)  

•  Further  medical  search  across  many  sources  from  a  paGent  E.H.R.  view  or  accessed    independently  

•  Search  either  before,  during  or  aqer  paGent  consultaGon  

•  As  a  search  tool  for  supporGng  medical  informaGon  -­‐    clinical  trials,  medical  studies,  treatments,  guidelines  (and  later  possibly  across  anonymised  paGent  EHRs)    

•  Facilitate  the  care  process  –  the  search  engine  knowledge  base  can  give  support  in  finding  the  best  diagnosis  and  treatment    

Page 20: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data

KConnect  –  How  does  it  work?  Based on

RJL permissions Ethics Patient privacy/security System & data access permissions Collaborations!

Page 21: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data

KConnect  –  via  the  PaGent  EHR  

Page 22: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data
Page 23: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data
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Page 25: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data

KConnect  –  Results  Page  

Page 26: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data

Use  Cases  Jönköping  v  KCL,  London  

•  Live  analysis  of  paGent  E.H.R.s  and  further  invesGgaGon  into  medical  literature,  guidelines  etc.  

•  To  provide  helpful  informaGon  in  decision-­‐making  processes  

•  Future:  Symptoms-­‐Diagnosis  (addiGons  to  KB)  •  Future:  Search  across  anonymised  EHRs  

Jönköping  

King’s  College,  London  &  South  Maudsley  Hospital  (NHS)  

•  Analysis  across  pseudo-­‐anonymised  paGent  E.H.R.s  •  ExtracGon  of  paGent  types,  disease,  symptoms  etc  to  databases  •  To  predict  Adverse  Drug  ReacGons  (use  of  KB  and  new  doctor  RDF  notaGon)      •  To  evaluate  risk  of  suicide  in  mental  hospital  paGents  (pa]erns)  

Page 27: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data

Visualizing the data (USFD/Prospector)  

Page 28: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data

Occurrence  of  Keyword  “influenza”  

Page 29: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data

Most  Searched  Diseases  by  DieGcians  

Page 30: KConnect - making Medical Information Easier to Find: Semantic Annotation and Semantic Search using Linked Data

TACK

Research  &  Project  Manager  FINDWISE  [email protected]  @Peter_G_Voisey      

Researcher  &  Principal  InformaGon  Strategist  FINDWISE  /  Chalmers  &  GU  [email protected]      [email protected]    

h]p://kconnect.eu  h]ps://kconnectme.wordpress.com  h]ps://www.linkedin.com/groups/3745929  �@KConnect_eu