1. 1. How to efficiently utilize big data of health records Group : Information Technology Fangyuan HU Itsuki KAWATA Natsume KOIKE Takashi Nicholas MAEDA Anjar DIMARASAKTI Mizuto SUZUKI Gyo UCHIDA
2. 2. Open data system Application for society and government Our Proposal Patients centered database system Medical and Health records
3. 3. Outline Problems Possible solutions Person centered model Applications Stakeholders Milestone Budget Conclusion DAY 1234
4. 4. Current Problem Hospital A Privacy matters Health care providers have no incentive to share the information of other hospitals. Ineffective information sharing of health records Repeated lab tests, etc. -> Increasing cost, waist of time Hospital B Adoption of electronic health records DB Health record data base 1) 2011-2012 PACS 1) DB
5. 5. an environment will be created to promote the use of personal data, which is expected to provide considerable value in spurring the creation of new business and new services that use big data - Objective - Japanese government encourages utilizing personal data, but medical and health data are not used. June 14, 2013 "Declaration to be the World's Most Advanced IT Nation Establish the efficient system to utilize medical data Current condition
6. 6. 3 possible options Dispersed Integrated Dispersed and linked Sharing among Hospitals Impossible Possible Possible Cost Zero High Not so high Patients usability Low Low High Security Strong Strong Weak
7. 7. DB DB Patient 1: ask 2: agree Old Hospital New Hospital 3: connect 4: respond Workflow: Data sharing between hospitals
8. 8. DB DB Patient 1: ask 2: agree 3: connect 4: respond Hospital Insurance Association Workflow: Data sharing between hospitals and insurance association
9. 9. DB DB Patient 1: ask 2: agree New Hospital 3: connect 4: respond Smart apps company Workflow: Data sharing between hospitals and smart device companies
10. 10. DB DB Patient 1: ask 2: agree 3: connect 4: respond Hospital Government Workflow: Data sharing between hospitals and government
11. 11. Overview of user-centered system DB Patient DB DB DB DB Governments
12. 12. Anonymized Open Data DB Government Anonymized Open DB
13. 13. -1st APPLICATION- DAY 1234 Number of Patients > 150 100-150 0 10-20 20-30 30-50 50-70 70-100 REALTIME INFLUENZA PANDEMIC DISTRIBUTION IN TOKYO AREA Hospital Medical Clinic Desktops Tablets Smartphones WebsitesSocial Media Patients Hospital Society
14. 14. -2nd APPLICATION- . Nippon Resource Center for Health Information Technology Demonstrating the value and implementation of information technology in health care (health information technology). Stakeholder Policy Maker ACTINGDECISION MAKING INTEGRATED SYSTEM Pandemic Population Medicine or Vaccine Distribution Medical Worker distribution Evaluating the situation of Healthcare system
15. 15. Stakeholders Merit Demerit Patients Appropriate medical treatment Discount of medical expenses Risk for leakage Hospital Fair competition Access to market information Cost for introduction Risk for leakage Reduction of service amount Government Efficiency of public health Researcher Utilization of large database Insurer Reduction of cost with efficiency IT vendor Profit from making and maintaining database
16. 16. Researcher InsurersPatients Hospital Government Premium Relation Chart IT vendor Pay
17. 17. Strengthen insurers function Insurers have access to information Insurers will monitor hospitals not to do inefficient treatment.
18. 18. Involvement: Top university hospitals Once top university hospitals developed the new IT systems, affiliated hospitals would follow Subsidy for Developing IT Systems Top University Hospitals
19. 19. Involvement: National Strategic Economic Growth Areas for Life Innovation Information Technology Companies Pharmaceutical companies University hospitals Cooperation
20. 20. Milestone 2016 Form agreement with large hospitals. 2017 Launch the system in the strategic area. 2018 Spread the service outside the special zone.
21. 21. Budget Subsidy for large hospitals to make the system -To establish the system : 270 million yen (for 10 hospitals) -To pay doctors for fixing requirements of the system: 50 million yen Cost to spread the service outside the strategic area - Promotion expenditure: 5 million yen Big hospital (College Hospital) Small hospitals Start from big hospitals by giving subsidy
22. 22. Conclusion We propose patients centered database system for efficient use of big medical data Open database will be developed Innovative applications can be created with the open database
23. 23. Thank you for your attention!!
24. 24. Appendix
25. 25. Adoption rate of electronic medical chart system25 2013 Electronic health records: 27.0% Ordering system (Electronic records for limited data) : 32.4% 7080 of new hospital adopt Electronic health records http://www.jahis.jp/members/data_list/data0204/ HP
26. 26. The Law Concerning the Protection of Personal Information 26 Act on the protection of personal information is likely to be modified. (will be accepted in 2015) (, 2013, http://www.kantei.go.jp/jp/singi/it2/pd/) Information can be handed in to a third party without approval as long as it is made anonymous .
27. 27. 27Example1: Data base for to improve safety of medicine System development 2.7 yen Other 1.2 yen