Experts with familiarity
to
all Healtchare data sources and its challenges along with in-depth understanding of Healtchare
drivers
and regulatory landscape.
Experts with familiarity to
all Healtchare data sources and its challenges along with in-depth understanding of Healtchare
drivers
and regulatory landscape.
Experts with familiarity to
all Healtchare data sources and its challenges along with in-depth understanding of Healtchare
drivers
and regulatory landscape.
Contemporary Diverse Data Model
Socio-Economic determinants
Genomic Data
Wellness, Goals & Results
Member Engagement
Care Gap, Intervention & Outcome
Mobility, IOT
Traditional Health plan data model
Claims
Enrollment
Payment
Retail Pharma - NCPDP
Clinical - CCD-A, HL7
All models are FHIR friendly
Blockchain friendly
Data Science ML Models
Key component analysis
Selection of key variables from data set
Member churn prediction
Logistic regression
Random forest
SVM Kernel
Risk prediction
Stroke prediction
Epidemic outbreak prediction
Prediction of Risk of Amputation (mixed models)
Failure of TB treatment completion
Reduce Patient re-admission
Care Management
Care path optimisation - Clustering
Predict ER length of stay
Predict Hospital acquire infections