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EEC Smart Health City and Healthcare Digital Disruption (August 24, 2018)
This document discusses digital health transformation and the rise of smart health cities and technologies. It notes that while technologies like artificial intelligence, cloud computing, the internet of things, and digital health tools offer opportunities to improve healthcare, the industry has not fully realized their potential due to issues like siloed data, poor data quality, lack of integration between systems, and focus on technology over clinical outcomes and patient care. It calls for more evidence-based and thoughtful approaches to digital health that prioritize quality, access, and the goals of healthcare over hype.
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EEC Smart Health City and Healthcare Digital Disruption (August 24, 2018)
- 1. EEC Smart HealthCity and Healthcare Digital Disruption Nawanan Theera-Ampornpunt, M.D., Ph.D. www.SlideShare.net/Nawanan
- 2. 2 What words cometo mind when you hear... Digital Health Transformation
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- 5. 5englishmoviez.com Rise of theMachines?
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- 8. 8 Why Aren’t WeTalk About These Words? http://hcca-act.blogspot.com/2011/07/reflections-on-patient-centred-care.html
- 9. 9 “Big data islike teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it...” -- Dan Ariely @danariely (2013) Substitute “Big data” with “AI”, “Blockchain”, “IoT” of your choice. -- Nawanan Theera-Ampornpunt (2018)
- 10. 10 Hype vs. Hope JeremyKemp via http://en.wikipedia.org/wiki/Hype_cycle http://www.gartner.com/technology/research/methodologies/hype-cycle.jsp
- 11. 11 Gartner Hype Cycle2017 https://www.gartner.com/smarterwithgartner/top-trends-in-the-gartner-hype-cycle-for-emerging-technologies-2017/
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- 13. 13 The Goal ofHealth Care The answer is already obvious... “Health” “Care”
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- 15. 15 High Quality Care •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.
- 16. 16 Examples of HealthIT https://www.youtube.com/watch?v=gxz9ZVvduGc
- 17. 17 Areas of HealthInformatics Patients & Consumers Providers & Patients Healthcare Managers, Policy- Makers, Payers, Epidemiologists, Researchers Copyright Nawanan Theera-Ampornpunt (2018) Clinical Informatics Public Health Informatics Consumer Health Informatics
- 18. 18 Incarnations of HealthIT Clinical Informatics Public Health Informatics Consumer Health Informatics HIS/CIS EHRs Computerized Physician Order Entry (CPOE) Clinical Decision Support Systems (CDS) (including AI) Closed Loop Medication PACS/RIS LIS Nursing Apps Disease Surveillance (Active/Passive) Business Intelligence & Dashboards Telemedicine Real-time Syndromic Surveillance mHealth for Public Health Workers & Volunteers PHRs Health Information Exchange (HIE) eReferral mHealth for Consumers Wearable Devices Social Media Copyright Nawanan Theera-Ampornpunt (2018)
- 19. 19 Hospital A HospitalB Clinic D Policymakers Patient at Home Hospital C HIE Platform Health Information Exchange (HIE)
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- 21. 21 Where We AreToday... Copyright Nawanan Theera-Ampornpunt (2018) Clinical Informatics Public Health Informatics Consumer Health Informatics Technology that focuses on the sick, not the healthy Silos of data within hospitalPoor/unstructured data quality Lack of health data outside hospital Poor data integration across hospitals/clinics Poor data integration for monitoring & evaluation Poor data quality (GIGO) Finance leads clinical outcomes Poor IT change management Cybersecurity & privacy risks Few real examples of precision medicine Little access to own health data Poor patient engagement Poor accuracy of wearables Lack of evidence for health values Health literacy Information Behavioral change Few standards Lack of health IT governance
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- 24. 24 Healthtech Startup Ecosystem www.facebook.com/HealthTechThailand/No endorsements implied
- 25. 25 Trends to Watch •“Smart Hospital” Gradual Adoption • The Disillusionment of Technology • More Knowledge on Proper Roles of AI • Consumer App’s Clearer Value Offerings • “Design Thinking” • More Mature Consumer Health Devices • Value-based Healthcare • Hope of Precision Medicine • Healthtech Startup Successes & Failures
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