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Colin Mitchell
SpR Geriatric Medicine / GIM

HEALTH 2.0:
How IT and the Social Web Will Change Healthcare
Objectives

 Convince you that this is important
 Convince you that spoonfeeding you information about…
  SLE or something is unproductive
 Briefly review existing technology used in Medicine
 Introduce Health 2.0
      What is Web 2.0? Some general concepts
      The wisdom of the crowds
      How Health 2.0 can affect our practice
       …the way we learn and keep up-to-date
   
       …and our patients‘ lives
   
      Demonstrate some 2.0 resources that are already available
      Show you how to use them yourselves
 Fiddle about with my iPhone
IT in Medicine – The Future?




C
IT in Healthcare - The Future?
What did IT ever do for us?




C
IT in Healthcare – The Present

   Communication
   Organisation / Team-working
   Robots
   Advanced imaging & image distribution
   Patient tracking
   Electronic records
   Simulation / e-training
   Knowledge access / sharing
   E-prescribing with decision support
   Diagnosis support
   Mind reading
IT in Healthcare – The Present

   Communication
   Organisation / Team-working
   Robots
   Advanced imaging & image distribution
   Patient tracking
   Electronic records
   Simulation / e-training
   Knowledge access / sharing
   E-prescribing with decision support
   Diagnosis support
   Mind reading
IT in Healthcare – The Present

   Communication
   Organisation / Team-working
   Robots
   Advanced imaging & image distribution
   Patient tracking
   Electronic records
   Simulation / e-training
   Knowledge access / sharing
   E-prescribing with decision support
   Diagnosis support
   Mind reading
Mentalism
            Presented contrast
                 pattern

              Reconstructed
             contrast patterns




                 Mean of
              reconstructed
             contrast pattern

MiyawakiY, Uchida H, Yamashita O, Sato M-a, MoritoY, Tanabe HC, Sadato
N, KamitaniY (2008) Visual Image Reconstruction from Human Brain Activity using
a Combination of Multiscale Local Image Decoder. Neuron 60(5):915-929.
Decision Support

 E-prescriptions, Electronic health records
 Knowledge-based DSS
   Uses an ―inference engine‖
   Outputs suggestions based on existing knowledge
 eg E-prescribing:
   Suggests generic medicines
   Identifies drug interactions
   Asks how long a course of antibiotics is for
The Problem with Decision Support
        Hi! I see you’re looking
        after a patient with a
        history of chest pain!
        Would you like my help?

                        Sod off
         Yes please
Medicine – 20 years from now
Technology and access to information is already changing how we work


What will medicine be like in the future?
For Patients?
For Doctors?
What is it?

HEALTH 2.0
Web 2.0?
Wikipedia:
“The term „Web 2.0‟
describes the
changing trends in the
use of World Wide
Web technology and
web design that aim
to enhance
creativity, communicat
ions, secure
information
sharing, collaboration
and functionality of
the web.”




http://en.wikipedia.org/wiki/Web_2.0 & Image under CCL from http://hello.eboy.com
Web 2.0?
Wikipedia:
“The term „Web 2.0‟
describes the
changing trends in the
use of World Wide
Web technology and
web design that aim
to enhance
creativity, communicat
ions, secure
information
sharing, collaboration
and functionality of
the web.”




http://en.wikipedia.org/wiki/Web_2.0 & Image under CCL from http://hello.eboy.com
Some non-medical examples…

WHAT IS THE INTERNET FOR?
FAIL
Politics 2.0




http://www.barackobama.com
Organizing without organizations
         A Tale of Two Planes

     Northwest Airlines Flight 1829,
1.
     3rd January 1999. Lands in
     Detroit at 14.45. Passengers
     finally disembark at 21.42.

     American Airlines Flight 1348,
2.
     29th December 2006. Diverted to
     Austin TX. An 8-hour delay before
     disembarking.

•    The difference?
•    A discussion in the comments
     section on the American-
     Statesmen‘s website, an online
     petition, national media, and the
     US Congress.
OK, enough about Web 2.0, what about…

HEALTH 2.0
Dr. Google

   Googling for a diagnosis—use of Google as a
     diagnostic aid: internet based study (2006)
         2 Investigators armed with Google
            vs
         26 Case Records of the Massachusetts General Hospital


   Blinded to the diagnosis, investigators extracted
    3-5 key features of the case and Googled them
   The 3 most prominent/ appropriate diagnoses
    were then selected from the search results

Tang & Ng. BMJ. 2006 December 2; 333(7579): 1143–1145
NEJM                                                                                                             Google
                        Google diagnosis                                            Final diagnosis
Case                                                                                                             correct?
5      Infective endocarditis                              Infective endocarditis                                Yes
6      Gastrointestinal bleed                              Linitisplastica with bowel obstruction                No
7      Cushing's syndrome                                  Cushing's syndrome secondary to adrenal adenoma       Yes
8      Eosinophilicgranuloma, osteoidosteoma               Osteoidosteoma                                        Yes
9      Extrinsic allergic alveolitis, tuberculosis, BOOP   Hot tub lung secondary to Mycobacterium avium         No
10     Amyotrophy                                          Ehrlichiosis                                          No
11     Tuberculosis, lymphoma                              Lymphoma                                              Yes
12     Neurofibromatosis type 1                            Neurofibromatosis type 1                              Yes
14     Uveitis                                             Vasculitis                                            No
15     Amyloid                                             Amyloid light chain                                   Yes
16     Hyperaldosteronism                                  Phaeochromocytoma                                     No
17     Acute chest syndrome                                Acute chest syndrome                                  Yes
18     Tuberous sclerosis                                  Endometriosis                                         No
19     Aspergillus                                         Aspiration pneumonia, brain abscess                   No
22     Graft versus host disease                           West Nile fever                                       No
25     Cirrhosis                                           Pylephlebitis                                         No
26     Hypertrophic obstructive cardiomyopathy             Hypertrophic obstructive cardiomyopathy               Yes
27     Spongiform encephalopathy (Creutzfeldt-Jakob)       Creutzfeldt-Jakob disease                             Yes
28     Churg-Strauss syndrome                              Churg-Strauss syndrome                                Yes
29     Polymyositis or dermatomyositis                     Dermatomyositis secondary to non-Hodgkin's lymphoma   Yes
30     Cat scratch disease                                 Cat scratch disease                                   Yes
31     Henoch-Scholeinpurpura                              Cryoglobulinaemia                                     No
33     juvenile polyposis + HTT, links to MADH4 mutation   MADH4 mutation (HTT plus juvenile polyposis)          Yes
34     Toxic epidermal necrolysis syndrome                 Toxic epidermal necrolysis syndrome                   Yes
36     Encephalitis                                        MELAS                                                 No
37     Long QT syndrome, Brugada syndrome                  Brugada syndrome                                      Yes
Reaction to Dr. Google

 A spokeswoman for the Patients Association:
   quot;Doctors have a very wide knowledge when it
    comes to diagnosing conditions. But we would be
    concerned if they were using websites to diagnose
    people. What would happen if they gave the
    patient the wrong information?‖
Reaction to Dr. Google

 A spokeswoman for the Patients Association:
   quot;Doctors have a very wide knowledge when it
    comes to diagnosing conditions. But we would be
    concerned if they were using websites to diagnose
    people. What would happen if they gave the
    patient the wrong information?‖
Wisdom of the Crowds
• An experiment...
How many…

 Blue diamonds?
 Green circles?
Google Flu Trends
                                   Sarah Palin:



   Flu (aggregate):




   ILI: Influenza-Like Illness – CDC data on presentations with flu symptoms from ‗sentinel‘ outpatient facilities



http://www.google.org, http://www.google.com/trends
Google Flu Trends

      This is the result:




Ginsberg et al (2008) Detecting influenza epidemics using search engine query data. Nature (ePub Nov 18, 2008)
Wikipedia / Health Wikis

 Not definitive, but excellent. How?
 http://en.wikipedia.org/
 http://www.ganfyd.org/
 http://www.AskDrWiki.com/
 Or…
 Create your own:
MedBlogs& RSS
Social Bookmarking

 Users rate stories / websites / videos /
  papers
     More recommendations = higher ranking
     Choose a channel by
       Topic
       Bookmarker
    Reddit – http://science.reddit.com/

   Delicio.us - http://delicious.com/bengoldacre
   Biowizard
   Digg (with recommendation engine)

 All this can be channeled into your RSS feed
Twitter, Flickr and tagging




CCL: Markus Angermeier @ Aperto.de
Podcasts, iTunes &iTunesU
Doctors.net.uk
Email, CPD and forums
Health 2.0 – What does it change?

 For Doctors
   Up-to-date knowledge ‗pushed‘ to you
   Diagnosis support
   Personal support
   Connected learning / teaching
   ‗Expert‘ patients
   Remote / Virtual care
Using Web 2.0 now
Split into 3 groups then we‘ll go to the library computer lab.


Objectives for the next hour (* = difficulty level)
     The 3 groups (40 mins):
1.
            Create an F2 blog***
       1.
            Find a hot-topic medical article, comment on it, then post
       2.
            it on a blog*
            Set up Google Reader and subscribe to some Medical
       3.
            RSS feeds**


     Explain what you did to the rest of the group
2.


     Discuss if this is useful or all high-tech hot-air
3.
HEALTH 2.0 FOR PATIENTS
iMedix
Electronic Records

My Google Health:
https://www.google.com/health/p/
SugarStats
Relief in Site
RateMDs.com
Health 2.0 – What does it change?

 For Patients
   Potentially better informed
   Access to knowledge and expert opinion
   ‗Ownership‘ / Individual responsibility
   Chronic care load distributed
   Support – clinical and social
Problems / Unintended Consequences

   Poor comprehension of the new media
       Wikipedia controversy
        Blocking ‗social‘ websites
    


   Cyberchondria
       Access to records

   Consumerist patients
        Will NHS patients finally ‗choose‘?
    


   Can we trust the internet with our medical history?

   Can we trust the government with it?

   What about trusting our careers to the crowds?...
Problems / Unintended Consequences

   Poor comprehension of the new media
       Wikipedia controversy
        Blocking ‗social‘ websites
    


   Cyberchondria
       Access to records

   Consumerist patients
        Will NHS patients finally ‗choose‘?
    


   Can we trust the internet with our medical history?

   Can we trust the government with it?

   What about trusting our careers to the crowds?...
IWGC
IWGC
IWGC
Patients in control – a good thing?
Should we trust our careers to the wisdom of the crowds?
(Literally) at your fingertips

PORTABLE MEDICAL IT
Access

 Critical to obtain information &participate
 SmartPhones
     Windows Mobile
     iPhone
     Google Android
     Palm Pre (soon)
 Netbooks
 Web access (firewalls)
 Installed System Applications
iPhone

 App Store currently has 131 medical apps
   But dwarfed by Windows Mobile
 Podcasts
 Web access through Safari
 Many apps are free
   All (except PubSearch – 59p) in this demo are
   free applications
iPhone Apps
iPHONE
In summary…
 IT and the internet are changing how we interact, and
  allowing us to act together.

 Web / Health 2.0 is about the power of crowds, without
  hierarchy.

 Doctors have to be part of the crowd, as contributors and
  evaluators as well as moderators.

 Having an understanding of all this is important to be able
  to practice medicine in the information age.

 Using it could make you a better doctor, now.
Questions?




http://obamicon.pastemagazine.com

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Health 2 F2 Workshop

  • 1. Colin Mitchell SpR Geriatric Medicine / GIM HEALTH 2.0: How IT and the Social Web Will Change Healthcare
  • 2. Objectives  Convince you that this is important  Convince you that spoonfeeding you information about… SLE or something is unproductive  Briefly review existing technology used in Medicine  Introduce Health 2.0  What is Web 2.0? Some general concepts  The wisdom of the crowds  How Health 2.0 can affect our practice …the way we learn and keep up-to-date  …and our patients‘ lives   Demonstrate some 2.0 resources that are already available  Show you how to use them yourselves  Fiddle about with my iPhone
  • 3. IT in Medicine – The Future? C
  • 4. IT in Healthcare - The Future?
  • 5. What did IT ever do for us? C
  • 6. IT in Healthcare – The Present  Communication  Organisation / Team-working  Robots  Advanced imaging & image distribution  Patient tracking  Electronic records  Simulation / e-training  Knowledge access / sharing  E-prescribing with decision support  Diagnosis support  Mind reading
  • 7. IT in Healthcare – The Present  Communication  Organisation / Team-working  Robots  Advanced imaging & image distribution  Patient tracking  Electronic records  Simulation / e-training  Knowledge access / sharing  E-prescribing with decision support  Diagnosis support  Mind reading
  • 8. IT in Healthcare – The Present  Communication  Organisation / Team-working  Robots  Advanced imaging & image distribution  Patient tracking  Electronic records  Simulation / e-training  Knowledge access / sharing  E-prescribing with decision support  Diagnosis support  Mind reading
  • 9. Mentalism Presented contrast pattern Reconstructed contrast patterns Mean of reconstructed contrast pattern MiyawakiY, Uchida H, Yamashita O, Sato M-a, MoritoY, Tanabe HC, Sadato N, KamitaniY (2008) Visual Image Reconstruction from Human Brain Activity using a Combination of Multiscale Local Image Decoder. Neuron 60(5):915-929.
  • 10. Decision Support  E-prescriptions, Electronic health records  Knowledge-based DSS  Uses an ―inference engine‖  Outputs suggestions based on existing knowledge  eg E-prescribing:  Suggests generic medicines  Identifies drug interactions  Asks how long a course of antibiotics is for
  • 11. The Problem with Decision Support Hi! I see you’re looking after a patient with a history of chest pain! Would you like my help? Sod off Yes please
  • 12. Medicine – 20 years from now Technology and access to information is already changing how we work What will medicine be like in the future? For Patients? For Doctors?
  • 14. Web 2.0? Wikipedia: “The term „Web 2.0‟ describes the changing trends in the use of World Wide Web technology and web design that aim to enhance creativity, communicat ions, secure information sharing, collaboration and functionality of the web.” http://en.wikipedia.org/wiki/Web_2.0 & Image under CCL from http://hello.eboy.com
  • 15. Web 2.0? Wikipedia: “The term „Web 2.0‟ describes the changing trends in the use of World Wide Web technology and web design that aim to enhance creativity, communicat ions, secure information sharing, collaboration and functionality of the web.” http://en.wikipedia.org/wiki/Web_2.0 & Image under CCL from http://hello.eboy.com
  • 16. Some non-medical examples… WHAT IS THE INTERNET FOR?
  • 17. FAIL
  • 19. Organizing without organizations A Tale of Two Planes Northwest Airlines Flight 1829, 1. 3rd January 1999. Lands in Detroit at 14.45. Passengers finally disembark at 21.42. American Airlines Flight 1348, 2. 29th December 2006. Diverted to Austin TX. An 8-hour delay before disembarking. • The difference? • A discussion in the comments section on the American- Statesmen‘s website, an online petition, national media, and the US Congress.
  • 20. OK, enough about Web 2.0, what about… HEALTH 2.0
  • 21. Dr. Google  Googling for a diagnosis—use of Google as a diagnostic aid: internet based study (2006)  2 Investigators armed with Google  vs  26 Case Records of the Massachusetts General Hospital  Blinded to the diagnosis, investigators extracted 3-5 key features of the case and Googled them  The 3 most prominent/ appropriate diagnoses were then selected from the search results Tang & Ng. BMJ. 2006 December 2; 333(7579): 1143–1145
  • 22. NEJM Google Google diagnosis Final diagnosis Case correct? 5 Infective endocarditis Infective endocarditis Yes 6 Gastrointestinal bleed Linitisplastica with bowel obstruction No 7 Cushing's syndrome Cushing's syndrome secondary to adrenal adenoma Yes 8 Eosinophilicgranuloma, osteoidosteoma Osteoidosteoma Yes 9 Extrinsic allergic alveolitis, tuberculosis, BOOP Hot tub lung secondary to Mycobacterium avium No 10 Amyotrophy Ehrlichiosis No 11 Tuberculosis, lymphoma Lymphoma Yes 12 Neurofibromatosis type 1 Neurofibromatosis type 1 Yes 14 Uveitis Vasculitis No 15 Amyloid Amyloid light chain Yes 16 Hyperaldosteronism Phaeochromocytoma No 17 Acute chest syndrome Acute chest syndrome Yes 18 Tuberous sclerosis Endometriosis No 19 Aspergillus Aspiration pneumonia, brain abscess No 22 Graft versus host disease West Nile fever No 25 Cirrhosis Pylephlebitis No 26 Hypertrophic obstructive cardiomyopathy Hypertrophic obstructive cardiomyopathy Yes 27 Spongiform encephalopathy (Creutzfeldt-Jakob) Creutzfeldt-Jakob disease Yes 28 Churg-Strauss syndrome Churg-Strauss syndrome Yes 29 Polymyositis or dermatomyositis Dermatomyositis secondary to non-Hodgkin's lymphoma Yes 30 Cat scratch disease Cat scratch disease Yes 31 Henoch-Scholeinpurpura Cryoglobulinaemia No 33 juvenile polyposis + HTT, links to MADH4 mutation MADH4 mutation (HTT plus juvenile polyposis) Yes 34 Toxic epidermal necrolysis syndrome Toxic epidermal necrolysis syndrome Yes 36 Encephalitis MELAS No 37 Long QT syndrome, Brugada syndrome Brugada syndrome Yes
  • 23. Reaction to Dr. Google  A spokeswoman for the Patients Association:  quot;Doctors have a very wide knowledge when it comes to diagnosing conditions. But we would be concerned if they were using websites to diagnose people. What would happen if they gave the patient the wrong information?‖
  • 24. Reaction to Dr. Google  A spokeswoman for the Patients Association:  quot;Doctors have a very wide knowledge when it comes to diagnosing conditions. But we would be concerned if they were using websites to diagnose people. What would happen if they gave the patient the wrong information?‖
  • 25. Wisdom of the Crowds • An experiment...
  • 26.
  • 27. How many…  Blue diamonds?  Green circles?
  • 28. Google Flu Trends Sarah Palin: Flu (aggregate): ILI: Influenza-Like Illness – CDC data on presentations with flu symptoms from ‗sentinel‘ outpatient facilities http://www.google.org, http://www.google.com/trends
  • 29. Google Flu Trends  This is the result: Ginsberg et al (2008) Detecting influenza epidemics using search engine query data. Nature (ePub Nov 18, 2008)
  • 30. Wikipedia / Health Wikis  Not definitive, but excellent. How?  http://en.wikipedia.org/  http://www.ganfyd.org/  http://www.AskDrWiki.com/  Or…  Create your own:
  • 32. Social Bookmarking  Users rate stories / websites / videos / papers  More recommendations = higher ranking  Choose a channel by  Topic  Bookmarker Reddit – http://science.reddit.com/   Delicio.us - http://delicious.com/bengoldacre  Biowizard  Digg (with recommendation engine)  All this can be channeled into your RSS feed
  • 33. Twitter, Flickr and tagging CCL: Markus Angermeier @ Aperto.de
  • 36. Health 2.0 – What does it change?  For Doctors  Up-to-date knowledge ‗pushed‘ to you  Diagnosis support  Personal support  Connected learning / teaching  ‗Expert‘ patients  Remote / Virtual care
  • 37.
  • 38. Using Web 2.0 now Split into 3 groups then we‘ll go to the library computer lab. Objectives for the next hour (* = difficulty level) The 3 groups (40 mins): 1. Create an F2 blog*** 1. Find a hot-topic medical article, comment on it, then post 2. it on a blog* Set up Google Reader and subscribe to some Medical 3. RSS feeds** Explain what you did to the rest of the group 2. Discuss if this is useful or all high-tech hot-air 3.
  • 39. HEALTH 2.0 FOR PATIENTS
  • 41. Electronic Records My Google Health: https://www.google.com/health/p/
  • 45. Health 2.0 – What does it change?  For Patients  Potentially better informed  Access to knowledge and expert opinion  ‗Ownership‘ / Individual responsibility  Chronic care load distributed  Support – clinical and social
  • 46. Problems / Unintended Consequences  Poor comprehension of the new media  Wikipedia controversy Blocking ‗social‘ websites   Cyberchondria  Access to records  Consumerist patients Will NHS patients finally ‗choose‘?   Can we trust the internet with our medical history?  Can we trust the government with it?  What about trusting our careers to the crowds?...
  • 47. Problems / Unintended Consequences  Poor comprehension of the new media  Wikipedia controversy Blocking ‗social‘ websites   Cyberchondria  Access to records  Consumerist patients Will NHS patients finally ‗choose‘?   Can we trust the internet with our medical history?  Can we trust the government with it?  What about trusting our careers to the crowds?...
  • 48. IWGC
  • 49. IWGC
  • 50. IWGC
  • 51. Patients in control – a good thing? Should we trust our careers to the wisdom of the crowds?
  • 52. (Literally) at your fingertips PORTABLE MEDICAL IT
  • 53. Access  Critical to obtain information &participate  SmartPhones  Windows Mobile  iPhone  Google Android  Palm Pre (soon)  Netbooks  Web access (firewalls)  Installed System Applications
  • 54. iPhone  App Store currently has 131 medical apps  But dwarfed by Windows Mobile  Podcasts  Web access through Safari  Many apps are free  All (except PubSearch – 59p) in this demo are free applications
  • 57. In summary…  IT and the internet are changing how we interact, and allowing us to act together.  Web / Health 2.0 is about the power of crowds, without hierarchy.  Doctors have to be part of the crowd, as contributors and evaluators as well as moderators.  Having an understanding of all this is important to be able to practice medicine in the information age.  Using it could make you a better doctor, now.