Healthcare Patient Personalization Reference Architecture
This reference architecture is designed to personalize patient care journeys on the Databricks Data Intelligence Platform, empowering healthcare organizations to foster more meaningful customer interactions and achieve improved health outcomes.
Overview
- Patient care journey personalization solutions need to integrate myriad data formats from multiple sources: electronic health and medical records (EHR/EMRs), patient CRM, providers, pharmacies and regulatory institutions. Lakeflow Connect and other Databricks ISV partner services (like Redox) help bring the data into the lakehouse.
- DLT (Declarative Pipelines) help funnel and integrate the incremental data through the different medallion layers while achieving reliability and trustworthiness. Extract, transform, load (ETL) pipelines on Databricks also enforce data quality rules, while Unity Catalog implements data governance policies, including RBAC, ABAC and tokenization. This ensures an open yet regulated data architecture without unnecessary duplication of data.
- With patient healthcare data organized in a medallion architecture of increasing quality and aggregation, meaningful analytics can be extracted to improve clinical outcomes and affect cost savings on treatment. In addition, machine learning models utilize features extracted from the data along with cues from social determinants of health to quantify patient risk, bringing timely interventions to improve health outcomes.
- This data not only helps quantify patient engagement throughout the care journey but also helps identify and incentivize healthcare services that deliver quality, cost-effective care through HEDIS measures. Databricks AI/BI and Delta Sharing ensure the uninterrupted delivery of regulatory reporting.
- Mosaic AI–based agentic systems help pair the patient with the correct provider, make sense of care notes and present a holistic 360-degree view of the patient’s health.
Benefit
Patient personalization presents immense opportunities for healthcare organizations (both payers and providers) in ensuring timely and effective interactions to achieve value-based care.
The Databricks Data Intelligence Platform is designed to deliver an end-to-end seamless experience — from the collection and organization of data through the extraction of insights and creation of predictive models to the dissemination and consumption of data by the relevant parts of the healthcare system — with an overarching goal to dispense quality care in a cost-effective manner to the patient.
