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. Open data system Application for society and government Our
Proposal Patients centered database system Medical and Health
records
3. Outline Problems Possible solutions Person centered model
Applications Stakeholders Milestone Budget Conclusion DAY 1234
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. 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. 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. DB DB Patient 1: ask 2: agree Old Hospital New Hospital 3:
connect 4: respond Workflow: Data sharing between hospitals
8. DB DB Patient 1: ask 2: agree 3: connect 4: respond Hospital
Insurance Association Workflow: Data sharing between hospitals and
insurance association
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. DB DB Patient 1: ask 2: agree 3: connect 4: respond
Hospital Government Workflow: Data sharing between hospitals and
government
11. Overview of user-centered system DB Patient DB DB DB DB
Governments
12. Anonymized Open Data DB Government Anonymized Open DB
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. -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. 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. Researcher InsurersPatients Hospital Government Premium
Relation Chart IT vendor Pay
17. Strengthen insurers function Insurers have access to
information Insurers will monitor hospitals not to do inefficient
treatment.
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. Involvement: National Strategic Economic Growth Areas for
Life Innovation Information Technology Companies Pharmaceutical
companies University hospitals Cooperation
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. 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. 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. Thank you for your attention!!
24. Appendix
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. 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. 27Example1: Data base for to improve safety of medicine
System development 2.7 yen Other 1.2 yen