Effective population healthcare management (PHM) offers many benefits—to health systems, practitioners, patients, communities, and payers. It can help improve health outcomes, elevate the patient experience, reduce health disparities, identify inefficiencies and care gaps, and control the cost of care. However, to be effective, PHM requires access to vast amounts of accurate, near real-time data from multiple sources, the tools to connect disparate datasets and use that data to develop actionable insights, and the safeguards to ensure that data remains secure at all times.
To overcome these challenges and support effective PHM strategies, health systems need a data platform that can capture, store, manage, and derive insights from data collected from admin, omics, clinical, and operational systems using a data lakehouse. The platform’s infrastructure must have a robust information governance framework that includes a citizen opt-out standard as well as interoperability, data, and cybersecurity standards. The platform must also provide advanced analytics, machine learning, and cognitive analytics, which are essential to designing effective, robust risk stratification methodologies and for monitoring the health of the population over time. With the ability to consolidate patient data spread across numerous healthcare information systems into a single record, healthcare teams can develop actionable insights that will improve patient outcomes while lowering costs for the patient, provider, and payer.
New approaches are required to help identify current healthcare needs and predict what patients will need in the future. The following architecture demonstrates how Oracle Data Platform is built to support population healthcare management by capturing, storing, curating, and analyzing data to better understand patient needs and deliver actionable insights.
There are three main ways to inject data into an architecture to enable healthcare organizations to optimally understand their patients.
Data persistence and processing options for collected data are built on three (optionally four) components.
The analysis part is built on two technologies.
The right data platform can help health organizations get the greatest value from all the available data to design better-aligned, more cost-efficient, and sustainable healthcare services. This includes better-tailored care plans and support for individuals, including early and proactive interventions such as routine population screenings, which can improve health outcomes as well as patient engagement and satisfaction.
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