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Computational Health Care

Computational Health Care. Motivation. “ W e have to do our own research” – effective health care is ethnic, cultural and environmental dependent NUS has core technology. Drug / Food Safety. Preventive Healthcare. Predictive Analytics. Prescriptive Analytics. Application.

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Computational Health Care

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  1. Computational Health Care

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

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

  4. Sense Making Cloud

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

  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

  9. Knowledge Structuring Layer

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

  11. Semi-Structured- Quantified Self

  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

  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. Media Analytics Layer

  15. Predictive Analytics • 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)

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

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

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

  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

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

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

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

  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

  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

  26. Thank You !

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