Digital Health in Asia Pacific: Current Situation and Future (SICMPH 2016) (June 13, 2016)
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Transcript of Digital Health in Asia Pacific: Current Situation and Future (SICMPH 2016) (June 13, 2016)
Digital Health in
Thailand & Asia Pacific:
Current Situation & Future
Nawanan Theera-Ampornpunt
June 13, 2016
2
The Road to Digitizing Healthcare
Being “Smart” in Digitizing Health
eHealth Situation in Thailand
Outline
5Image Source: https://en.wikipedia.org/wiki/Industrial_robot (KUKA Roboter GmbH)
“Smart” Manufacturing
6Image Sources: http://isarapost.net/home/?p=17760
http://www.telecomjournalthailand.com/ตอบโจทยโ์มเดลทางธรุกจิ/
“Smart” Banking
9
• Life-or-Death
• Difficult to automate human decisions
– Nature of business
– Many & varied stakeholders
– Evolving standards of care
• Fragmented, poorly-coordinated systems
• Large, ever-growing & changing body of knowledge
• High volume, low resources, little time
Why Healthcare Isn’t (Yet) “Smart”?
10
• Large variations & contextual dependence
Input Process Output
Patient Presentation
Decision-Making
Biological Responses
Standardizing Healthcare
11
The World of Smart Machines
Image Sources: http://www.ibtimes.com/google-deepminds-alphago-
program-defeats-human-go-champion-first-time-ever-2283700
http://deepmind.com/
12
Digitizing Healthcare
Image Source: http://www.bloomberg.com/bw/stories/2005-03-27/cover-image-the-digital-hospital
13
“To computerize the hospital”
“To go paperless”
“To become a Digital Hospital”
“To have EHRs”
Why Adopting Health IT?
14
• “Don’t implement technology just for technology’s sake.”
• “Don’t make use of excellent technology. Make excellent use of technology.”(Tangwongsan, Supachai. Personal communication, 2005.)
• “Health care IT is not a panacea for all that ails medicine.” (Hersh, 2004)
Some “Smart” Quotes
19
The Road to Digitizing Healthcare
Being “Smart” in Digitizing Health
eHealth Situation in Thailand
Outline
21
Connecting People to a Healthy Future With Personalized Care – Kaiser Permanente
https://www.youtube.com/watch?v=gxz9ZVvduGc
23
To treat & to care for their patients to their best abilities, given limited time & resources
Image Source: http://en.wikipedia.org/wiki/File:Newborn_Examination_1967.jpg (Nevit Dilmen)
What Clinicians Want?
24
• Safe
• Timely
• Effective
• Patient-Centered
• Efficient
• Equitable
Institute of Medicine, Committee on Quality of Health Care in America. Crossing the quality
chasm: a new health system for the 21st century. Washington, DC: National Academy
Press; 2001. 337 p.
High Quality Care
28
• Safe
– Drug allergies
– Medication Reconciliation
• Timely
– Complete information at point of
care
• Effective
– Better clinical decision-making
Image Source: http://www.flickr.com/photos/childrensalliance/3191862260/
Being “Smart” in Healthcare
29
• Efficient
– Faster care
– Time & cost savings
– Reducing unnecessary tests
• Equitable
– Access to providers & knowledge
• Patient-Centered
– Empowerment & better self-care
Being “Smart” in Healthcare
31
Summary of These Reports
• Humans are not perfect and are bound to make errors
• Highlight problems in U.S. health care system that systematically contributes to medical errors and poor quality
• Recommends reform
• Health IT plays a role in improving patient safety
32Image Source: (Left) http://docwhisperer.wordpress.com/2007/05/31/sleepy-heads/
(Right) http://graphics8.nytimes.com/images/2008/12/05/health/chen_600.jpg
To Err is Human 1: Attention
33Image Source: Suthan Srisangkaew, Department of Pathology, Facutly of Medicine Ramathibodi Hospital
To Err is Human 2: Memory
34
• Medication Errors
– Drug Allergies
– Drug Interactions
• Ineffective or inappropriate treatment
• Redundant orders
• Failure to follow clinical practice guidelines
Common Errors
35
Documented Values of Health IT
• Guideline adherence
• Better documentation
• Practitioner decision making or process of care
• Medication safety
• Patient surveillance & monitoring
• Patient education/reminder
39
A Smart Machine: DeepMind
Image Sources: http://www.ibtimes.com/google-deepminds-alphago-
program-defeats-human-go-champion-first-time-ever-2283700
http://deepmind.com/
43
Clinical Decision Support Systems
• CDSS as a replacement or supplement of clinicians?– The demise of the “Greek Oracle” model (Miller & Masarie, 1990)
The “Greek Oracle” Model
The “Fundamental Theorem” Model
Friedman (2009)
Wrong Assumption
Correct Assumption
45
The Road to Digitizing Healthcare
Being “Smart” in Digitizing Health
eHealth Situation in Thailand
Outline
46
Kijsanayotin B, et al. eHealth in Thailand: The current status. Stud Health Technol Inform 2010;160:376–80. 46
Thailand’s eHealth: 2010
48
Strat
egy &
Inves
tmen
t
Standards & Interoperability
Infrastructure
Services, Applications Software
Leadership & governance
Leg
isla
tion
, po
licy
& c
ompl
iance
Wor
kfo
rce
Thailand eHealth:Unbalanced Development
Kijsanayotin B
49
Thailand eHealth: Shaky Foundations
eHealth Applications
Enabling Policies and Strategies
Foundation Policies and Strategies
Kijsanayotin B
50
eHealth Governance Body
Standards & Interoperability
Healthcare-Specific Privacy Laws
Adequate eHealth Workforce
Proposed Actions
Kijsanayotin B, et al. eHealth in Thailand: The current status. Stud Health Technol Inform 2010;160:376–80.
52
Asia Pacific eHealth Efforts
Asia eHealth Information Network (AeHIN) Meetings
Health Information Management Systems Society
(HIMSS) Asia Pacific Conferences
53
• Piggyback on national agenda (e.g. Digital Economy)
• Use WHO-ITU model as a guide
• Start with national eHealth governance
• Identify how IT adds value in healthcare
• Standards over apps
• Recognize value of “humans”
• Walk together with neighbors
How Should We Move Forward?
54
• “Digital Health” doesn’t mean the goal isdigitizing everything. Rather, it meansSmart Health: using ICT smartly toimprove quality of care.
• Thailand is moving toward “DigitalHealth”, slowly....
• Regional efforts are instrumental innational progress
Summary
55
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Contacts
www.tc.umn.edu/~theer002
Nawanan Theera-Ampornpunt
Line ID: NawananT
Q & A