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

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

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

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

Health Spend with Age Group

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

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

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

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

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

Digital Companion

Health Network Doctor Pharmacy Friends Patient Laboratory Family

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

Health Analytics

Data Science for Wellness

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