1. Computational Health Care 1

2. Motivation “We have to do our own research” – effective health care is ethnic, cultural and environmental dependent NUS has core technology 2

3. 3 Knowledge Structuring Layer Secured Layer Media Analytics Layer Application Layer Sense-Making Cloud Predictive Analytics Prescriptive Analytics Drug / Food Safety Ontology Healthcare Professionals, patients and caregivers Hospital Operating Data Device Social Media Input Application Preventive Healthcare Public Layer

4. 4 Sense Making Cloud

5. A “Learning” Sense Making Cloud – technology and methodology evolve! 5 Sense Making Cloud LEARNS !

6. Learning depends on data, and data is ethnic, cultural and environmental dependent Leverage on NUS strength in knowledge learning and discovery 6

7. 7 Secured Layer

8. Data and Cyber Security Medical Record confidentiality data integrity holistic and timely Provide a secure and trusted environment for safe housekeeping of patients’ data – prevent hacking and malicious software 8

9. 9 Knowledge Structuring Layer

10. Nature of Data Unstructured in natural language knowledge structuring for meaningful exploitation non-textual visualization 10

11. Semi-Structured - Quantified Self 11

12. uncertain & inconsistent doctors, nurses, care givers, patients may give conflicting data or interpretation of data over the years due to changes in context (eg. situation changes, knowledge enhances) Need to do analytics to form a logical picture out of these unstructured, inconsistent data 12

13. 13 Need clever means of structuring knowledge and reasoning from uncertain/inconsistent data thru natural language processing thru crowd sourcing make the unstructured and uncertain/inconsistent data exploitable

14. 14 Media Analytics Layer

15. 15 Predictive Analytics (Clinical) hospital bed prediction to reduce re-admission medical, social conditions prediction of which patient needs more urgent attention (eg. ICU, Emergency Deparment) Predictive Analytics

16. 16 Predictive Analytics (Resources) ambulance prediction and optimization of ambulance placement stream data from ambulance to hospital for timely action upon arrival at hospital

17. 17 Predictive Analytics (Wellness) wellness/mobile device behavioral drug and supplements food

18. 18 Diagnosis and treatment prognosis prediction develop hypotheses eg. for uncommon diseases develop better diagnostic plan also reduce unnecessary dosage (imaging and drugs) knowledge management Prescriptive Analytics

19. Drug Safety interactions drug-drug drug-food allergies 19 Drug and Food Safety

20. Food Safety Pesticide Screening mass screening of peticide using advanced imaging Genetically modified food Organic food develop technology to certify organic food Meat safety 20

21. 21 Wellness: Aging and Handicap Assistive Technologies Preventive Health Care 21

22. Wellness: Sensors & Devices Mobile Phones as sensing device Other wearable gadgets transmitting health data including vital signs Predictive and Prescriptive Analytics 22

23. Wellness: Music Music Enhanced Preventive Exercise Music Therapy Wellness: Evidence-based design computing & human-centered computing 23

24. Pioneering a Computational Healthcare Industry Inspired by our success in water technology Pioneer a computational healthcare industry, put Singapore on global map of health care with Asian context 24

25. Implementation Plan Medical is about Human Need to build confidence before adoption practice on archival data training of doctors do a pilot study Leverage on crowd sourcing for general public health 25

26. 26 Thank You !