1. Simplifying Healthcare
Healthcare Data and Data Science
Dr. Prabir Kumar Aditya

2. Back to the Basics Healthcare Preventive Healthcare
Human being to live healthy life
Receive treatment when not well
Preventive Healthcare
Prescriptive Healthcare
Healthcare Industry
Providers
Payers
Life Sciences
Healthcare is about a Human Being
When in good health
When in not-so-good health
When in bad health

3. Care Journey Person is not well Symptoms Vital Check Visit Doctor
Diagnosis
Medication
Patient Cures
Pathological Tests
Prescription
Hospitalization
Patient Cures
Enrolment
Claims

4. Health Spending Distribution
100 : 11 :: Senior Citizen : Young Citizen
Spend Distribution of a Senior Citizen

5. Health Spend with Age Group

6. Predictive Analytics and Preventive Measures
Readmission
Combined data on disease, past hospital visits and other factors to determine a patient’s risk of readmission
These high-risk patients would then receive regular communication from hospital staff to help them avoid getting sick again
Penalize hospitals that exceed average rates of readmission
Patient Monitoring and Home Devices
Wearable body sensors
A personal EEG heart monitor
Gyroscope
Blood Glucose

7. Predictive Analytics and Preventive Measures
Self-Motivated Care
Individuals to take control of their own health
A community such as PatientsLikeMe groups over 150,000 patients who share their symptoms, concerns, experiences with treatment and healing stories about over 1,000 conditions
Diabetic Health Coaching
Disease Modelling and Mapping
Spatio-Temporal Epidemiological Modeller (STEM) - discovered links between changes in local climate and temperature and the spread of outbreaks of dengue and malaria
Dairy Product and Cancer

8. Predictive Analytics and Preventive Measures
The Ultimate EHR
Structured data from every one of the patient’s health care providers (e.g., lab results, demographic information, prescription histories, etc.)
Unstructured professional data (e.g., notes from clinicians, physicians, PCPs and nurses)
Unstructured personal data (e.g., notes from in-home caregivers, family members, patients and social workers)
Saved images (e.g., X-rays and MRI scans)
Genomic data

9. Healthcare Data Tradition data capture Automated data capture
Challenge –
digitization of traditional data, such as, doctor’s prescription, patients historical data, printed copy of diagnostic reports, medical bills
Patient’s journey data collection becomes major challenge to build medical episode

10. 1 1 3 3 2 3 2 2 2 3 3 1 2 4 4 3 4 Episode Refinement Pre-Condition
Person is now well
Symptoms
Episode
Vital Check 3
Visit Doctor
Diagnosis 2
Medication 3
Episode 2 2
Pathological Tests 2
Pharmacy
Pathological Test
Prescription 3 3 1
Data Capture – Manually Entered Data 2
Data Capture – Speech Recognition 4 4
Episode 3
Data Capture – Image Recognition
Episode Refinement 4
Data Capture – Print Copy Recognition

11. Digital Companion

12. Health Network
Doctor
Pharmacy
Friends
Patient
Laboratory
Family

13. Network Chaining Doctor Doctor Doctor Friends Friends Patient Patient
Pharmacy
Pharmacy
Friends
Friends
Patient
Patient
Pharmacy
Friends
Patient
Laboratory
Laboratory
Laboratory
Family
Family
Family

14. Health Analytics

15. Data Science for Wellness

19. Spring &River Confidential