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ICT for a global
infrastructure for health
        research
      Dr Octavian Purcarea
     Global Industry Manager
Challenges for eHealth implementation



•   Usability
•   Trust
•   Sustainability (economic model)
•   Implication of different actors (empowerment)
•   Bringing closer the clinical practice and clinical
    research
Challenges for clinical research

• Only 7% of eligible patients enrol in a clinical trial.
• Only 3% of eligible cancer patients enrol.
• 86% of all trials fail to enrol on time.
• 85%-95% study days beyond original study timetable
  are due to not recruiting subjects on time.
• Women, minorities, children and special populations are
  underrepresented.
• Only 3% board-certified physicians participate in clinical
  trials.
• The number of clinical investigators dropped 11%
  between 2001 and 2003.
Michael G. Kahn MD, PhD University of Colorado The Children’s Hospital, Denver
EPR usability

EPR Usability in the daily practice of the GPs
Belgian Study

USE OF DATA FROM THE PRIMARY CARE EPR - RESISTANCES AND SOLUTIONS
Prof Dr Marc VANMEERBEEK DUMG 2004

Analysis of the database records of the EPR in 8 Medical Homes, 3 years, 133.0000 contacts


       « 6, 7% of the contacts were recorded in the database »

       « exasperation of the user »

       « It seems illusory to continue an IT program
        without a rapid response to the numerous improvement demands »
EPR usability

EPR Usability in public health and quality management
Belgian Study
QUALITY IMPROVEMENT IN THE PRIMARY CARE BASED ON DATA COLLECTION OF DIABETES
AND HYPERTENSION RELATED CONSULTATIONS
Vandenberghe H., Bastiaens H., Jonckheer P., Orban T., Declercq E.,Lafontaine M.-F.,Van Casteren V.
Service d’Epidémiologie Institut Scientifique de la Santé Publique, 2003, Bruxelles

Exploration of the feasibility of data collection for quality improvement interventions .Two groups:
paper based data collection and EPR based data collection


  Conclusion

  “40% of the physicians from the EPR based group finally didn’t send the data”

  « The quality indicators are strongly divergent for the 2 methods”
EPR usability
EPR Usability for GPs
German Study
PRAXISNETZ STUDIE 2006 MANAGEMENT -PROZESSE –INFORMATIONSTECHNOLOGIE
Günter Schicker und Oliver Kohlbauer , Wirtschaftsinformatik II Universität Erlangen-Nürnberg

Analysis of the practice mangement and IT situation of GP Associations in Germany and
Switzerland ; ( 72 deutsche Praxisnetze und 18 Schweizer)


                      Conclusions

                      - only 20% of care networks have electronically data exchange

                      - only 9% have enough structured data

                      - only 3% can document the care processes electronically
Clinical Software for USABILITY


       1. Software behavior should reflect the work process of the user (workflow )
       2. Software objects should reflect the mental model (concepts) of the user (terminology )




Usability threshold
 Terminology
        +         ---------------------------------------------------->
 Clinical Process
     Models
Trends : the Expansion of Networks:
Numbers of Connected Devices


•   ‘60s   10s
•   ‘70s   100s
•   ‘80s   1,000s
•   ‘90s   1,000,000s
•   ‘00s   1,000,000,000s
•   ‘10s   1,000,000,000,000s
•   ‘20s   1,000,000,000,000,000s
Platforms, not technologies,
Create Economic Value
• Consistent APIs              Cloud
• Standards for
  interoperability
                         Web
• Available at scale
• Compelling business
  model            LAN


Personal
Why Cloud changes the rules

• Instant global scale service creation: Creates
  major opportunity for startups
• Adds value to all existing platforms: Software +
  Services
• Interoperability based on open standards:
  Broadest device, client and data accessibility
Enhanced
  GUI          NUI


   Voice




 Handwriting




   Single
   Touch
Data Input
Innovative interfaces
10 Year View:
An Algorithmic* Transformation
                        • Automation of the routine
  Moore’s
   Law                  • Network Embedding of specialized
      +
                          knowledge and processes
   Cloud
                        • Massive expansion of networked
      +
                          service value chains
 Ubiquitous             • Value creation moves from
 Networking               specialized to generalized skills
     +
    NUI

    *Prof. John Zysman, BRIE – UC. Berkeley
Implications:
Healthcare Providers

• Will need to add semantic interoperability to
  automated processes and knowledge networks
• The role of the GP will change dramatically as
  patients become increasingly educated, networked
• Real-time monitoring and sensor based
  diagnostics will transform working practices
• Massively increased competition in health services
  provision
Implications:
Patients

• Move towards ‘end to end’ health and wellness
  management strategies
• Increased choice as providers compete with
  monitoring and diagnostic services
• Much higher expectations from service providers
• Increased concern about privacy as health
  services and data go online
Implications:
Research
Integrating Electronic Health Records (EHR) with
  Electronic Data Capture (EDC) systems used in
  clinical trials:
• avoid duplicated data entry
• assist in automatic identification of patients for
  clinical trials
• enable early detection of potential patient safety
  issues.
• Take into account multiple parameters
  (environmental, physical, genetical)
A Fundamental Change is Underway




                             - World Health
              Organization
HealthVault = Health Application
Platform
Personal Health & Wellness

                                                                                  Patients can:
                                                                                  •store health information
                                               Health & Fitness

                    Physicians
                                                    Device
                                                Manufacturers                      from many sources
                                                                                  •access a range of health
                                                                  Health Plans
   Laboratories
                                                                                   and fitness apps
                                                                                  •upload data from health
Hospitals
                                                                      Employers    and fitness devices
                                                                                  •share health information
                                                                   Healthcare
                                                                                   with those they trust.
                                                                  Associations


            Pharmacies
             & PBMs
                                                     Schools
                                 Application
                                  Providers
Future plans
Towards full picture of individual’s health status


Biosensors                                    Biochips




Environmental                               Genomic data
Data


                       Phenomic data




                Integrated Health Records
Connected Health Platform


                                                       Connected Health Platform
Infrastructure & Platform Offerings




                                                        Application Platform for Health

                                               Business Productivity Infrastructure for Health

                                                         Core Infrastructure for Health



                                      Connected Health Framework – Architecture and Design Blueprint
                                             Resources available at:   www.microsoft.com/healthICT
Knowledge Driven Health Create a Technology
                Foundation




Microsoft
Connected Health
Framework
Seamless Integration of External
      Services: EPR side
                        Seamless integration at
                        user interface




                         Exchange of key patient
                         data
Integration of the HIS side: Microsoft Amalga Unified
Intelligence System
Data                                                                                                                 Citizens




               Integration System
Contributors




                                                     Health Domain




                                                                                                     PHR Applications
                                         Aggregation &                Personal Health
                                         Insight System               Record System



                                     Interoperability Tools




                                                                             Healthcare Providers

        Primary Care Provider                                                       Social Worker
                                                              Care Manager


                                    Specialty Care                   ED Physician          Case Manager
Data                                                                                                                                 Citizens
Contributors



               BizTalk Server




                                                                                                  HealthVault Applications - Partners
                                                 Connected Health




                                Connected Health Platform &
                                Partner Interoperability Tools




                                                                           Healthcare Providers

        Primary Care Provider                                                    Social Worker
                                                           Care Manager


                                Specialty Care                    ED Physician          Case Manager
What We Need to Make It Happen?

 • Support (fund) semantic interoperability including human resources.
 • Involve, empower the individuals in management of their own Health,
   involve from the beginning in your projects the Health Professionals;
 • designing an organisational architecture that bolsters the interest of
   health professional, promoting the early assessment of new
   therapies for their inclusion among the reimbursable treatments,
   fostering the validation of clinical trials protocols based on Evidence
   Based Medicine and additionally, on Evidence Based Management.
 • validating new reimbursement schemas, assessing the need for
   incentives for health professionals and patients involved in clinical
   trials, and devising new adherence strategies with patients and
   health professionals.
 • Think in terms of pay per performance, quality related indicators,
   incentives, trust and usability.
For More Information about Microsoft Health

• Health Web site: www.microsoft.com/healthcare
• Health Blog: www.blogs/msdn.com/healthblog
• EMEA Health Blog:
  http://blogs.msdn.com/ms_emea_health_blog/default.aspx
• Information on Amalga and Health Vault can be found at:
  http://www.microsoft.com/hsg/
• You can find information on the Common User Interface and the
  design guides at: www.mscui.com
• Here is the link to the CHF (Connected Health Framework) material:
  http://msdn2.microsoft.com/en-us/architecture/bb525069.aspx
• For MedStory (now called Live Search – Health) go to
  https://ssl.search.live.com/health/default.aspx or www.medstory.com.

E-mail: ocpurca@microsoft.com
© 2010 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or
trademarks in the U.S. and/or other countries.The information herein is for informational purposes only and represents the current view of Microsoft Corporation as
  of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of
                        Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation.
            MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

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Biological Models to Better Understanding of Diseases

  • 1. ICT for a global infrastructure for health research Dr Octavian Purcarea Global Industry Manager
  • 2. Challenges for eHealth implementation • Usability • Trust • Sustainability (economic model) • Implication of different actors (empowerment) • Bringing closer the clinical practice and clinical research
  • 3. Challenges for clinical research • Only 7% of eligible patients enrol in a clinical trial. • Only 3% of eligible cancer patients enrol. • 86% of all trials fail to enrol on time. • 85%-95% study days beyond original study timetable are due to not recruiting subjects on time. • Women, minorities, children and special populations are underrepresented. • Only 3% board-certified physicians participate in clinical trials. • The number of clinical investigators dropped 11% between 2001 and 2003. Michael G. Kahn MD, PhD University of Colorado The Children’s Hospital, Denver
  • 4. EPR usability EPR Usability in the daily practice of the GPs Belgian Study USE OF DATA FROM THE PRIMARY CARE EPR - RESISTANCES AND SOLUTIONS Prof Dr Marc VANMEERBEEK DUMG 2004 Analysis of the database records of the EPR in 8 Medical Homes, 3 years, 133.0000 contacts « 6, 7% of the contacts were recorded in the database » « exasperation of the user » « It seems illusory to continue an IT program without a rapid response to the numerous improvement demands »
  • 5. EPR usability EPR Usability in public health and quality management Belgian Study QUALITY IMPROVEMENT IN THE PRIMARY CARE BASED ON DATA COLLECTION OF DIABETES AND HYPERTENSION RELATED CONSULTATIONS Vandenberghe H., Bastiaens H., Jonckheer P., Orban T., Declercq E.,Lafontaine M.-F.,Van Casteren V. Service d’Epidémiologie Institut Scientifique de la Santé Publique, 2003, Bruxelles Exploration of the feasibility of data collection for quality improvement interventions .Two groups: paper based data collection and EPR based data collection Conclusion “40% of the physicians from the EPR based group finally didn’t send the data” « The quality indicators are strongly divergent for the 2 methods”
  • 6. EPR usability EPR Usability for GPs German Study PRAXISNETZ STUDIE 2006 MANAGEMENT -PROZESSE –INFORMATIONSTECHNOLOGIE Günter Schicker und Oliver Kohlbauer , Wirtschaftsinformatik II Universität Erlangen-Nürnberg Analysis of the practice mangement and IT situation of GP Associations in Germany and Switzerland ; ( 72 deutsche Praxisnetze und 18 Schweizer) Conclusions - only 20% of care networks have electronically data exchange - only 9% have enough structured data - only 3% can document the care processes electronically
  • 7. Clinical Software for USABILITY 1. Software behavior should reflect the work process of the user (workflow ) 2. Software objects should reflect the mental model (concepts) of the user (terminology ) Usability threshold Terminology + ----------------------------------------------------> Clinical Process Models
  • 8. Trends : the Expansion of Networks: Numbers of Connected Devices • ‘60s 10s • ‘70s 100s • ‘80s 1,000s • ‘90s 1,000,000s • ‘00s 1,000,000,000s • ‘10s 1,000,000,000,000s • ‘20s 1,000,000,000,000,000s
  • 9. Platforms, not technologies, Create Economic Value • Consistent APIs Cloud • Standards for interoperability Web • Available at scale • Compelling business model LAN Personal
  • 10. Why Cloud changes the rules • Instant global scale service creation: Creates major opportunity for startups • Adds value to all existing platforms: Software + Services • Interoperability based on open standards: Broadest device, client and data accessibility
  • 11. Enhanced GUI NUI Voice Handwriting Single Touch
  • 14. 10 Year View: An Algorithmic* Transformation • Automation of the routine Moore’s Law • Network Embedding of specialized + knowledge and processes Cloud • Massive expansion of networked + service value chains Ubiquitous • Value creation moves from Networking specialized to generalized skills + NUI *Prof. John Zysman, BRIE – UC. Berkeley
  • 15. Implications: Healthcare Providers • Will need to add semantic interoperability to automated processes and knowledge networks • The role of the GP will change dramatically as patients become increasingly educated, networked • Real-time monitoring and sensor based diagnostics will transform working practices • Massively increased competition in health services provision
  • 16. Implications: Patients • Move towards ‘end to end’ health and wellness management strategies • Increased choice as providers compete with monitoring and diagnostic services • Much higher expectations from service providers • Increased concern about privacy as health services and data go online
  • 17. Implications: Research Integrating Electronic Health Records (EHR) with Electronic Data Capture (EDC) systems used in clinical trials: • avoid duplicated data entry • assist in automatic identification of patients for clinical trials • enable early detection of potential patient safety issues. • Take into account multiple parameters (environmental, physical, genetical)
  • 18. A Fundamental Change is Underway - World Health Organization
  • 19. HealthVault = Health Application Platform
  • 20. Personal Health & Wellness Patients can: •store health information Health & Fitness Physicians Device Manufacturers from many sources •access a range of health Health Plans Laboratories and fitness apps •upload data from health Hospitals Employers and fitness devices •share health information Healthcare with those they trust. Associations Pharmacies & PBMs Schools Application Providers
  • 21. Future plans Towards full picture of individual’s health status Biosensors Biochips Environmental Genomic data Data Phenomic data Integrated Health Records
  • 22. Connected Health Platform Connected Health Platform Infrastructure & Platform Offerings Application Platform for Health Business Productivity Infrastructure for Health Core Infrastructure for Health Connected Health Framework – Architecture and Design Blueprint Resources available at: www.microsoft.com/healthICT
  • 23. Knowledge Driven Health Create a Technology Foundation Microsoft Connected Health Framework
  • 24. Seamless Integration of External Services: EPR side Seamless integration at user interface Exchange of key patient data
  • 25.
  • 26. Integration of the HIS side: Microsoft Amalga Unified Intelligence System
  • 27. Data Citizens Integration System Contributors Health Domain PHR Applications Aggregation & Personal Health Insight System Record System Interoperability Tools Healthcare Providers Primary Care Provider Social Worker Care Manager Specialty Care ED Physician Case Manager
  • 28. Data Citizens Contributors BizTalk Server HealthVault Applications - Partners Connected Health Connected Health Platform & Partner Interoperability Tools Healthcare Providers Primary Care Provider Social Worker Care Manager Specialty Care ED Physician Case Manager
  • 29. What We Need to Make It Happen? • Support (fund) semantic interoperability including human resources. • Involve, empower the individuals in management of their own Health, involve from the beginning in your projects the Health Professionals; • designing an organisational architecture that bolsters the interest of health professional, promoting the early assessment of new therapies for their inclusion among the reimbursable treatments, fostering the validation of clinical trials protocols based on Evidence Based Medicine and additionally, on Evidence Based Management. • validating new reimbursement schemas, assessing the need for incentives for health professionals and patients involved in clinical trials, and devising new adherence strategies with patients and health professionals. • Think in terms of pay per performance, quality related indicators, incentives, trust and usability.
  • 30. For More Information about Microsoft Health • Health Web site: www.microsoft.com/healthcare • Health Blog: www.blogs/msdn.com/healthblog • EMEA Health Blog: http://blogs.msdn.com/ms_emea_health_blog/default.aspx • Information on Amalga and Health Vault can be found at: http://www.microsoft.com/hsg/ • You can find information on the Common User Interface and the design guides at: www.mscui.com • Here is the link to the CHF (Connected Health Framework) material: http://msdn2.microsoft.com/en-us/architecture/bb525069.aspx • For MedStory (now called Live Search – Health) go to https://ssl.search.live.com/health/default.aspx or www.medstory.com. E-mail: ocpurca@microsoft.com
  • 31. © 2010 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.