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年版 電子カルテの市場動向調査 －電子カルテ／PACS市場規模予測とシェア動向
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 年
Electronic health records:
27.0%
Ordering system (Electronic records for limited data) :
32.4%
70～80％ of new hospital adopt Electronic health records
http://www.jahis.jp/members/data_list/data0204/
保健医療福祉情報システム工業会 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)
(パーソナルデータに関する検討会, 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: 医療情報データベース基盤整備事業
Data base for to improve safety of medicine
System development 2.7億 yen
Other 1.2億 yen