Traditional to Advanced Analytics
Intelligent, actionable insights are delivered.
Traditional Population Health Management methods tend to prioritize high-risk individuals while ignoring areas with intermediate and low health concerns. This is due to the limits of healthcare and claims data; healthcare research often covers just acute treatment, whereas claims data is largely retrospective and only captures a moment in time rather than the complete care continuum.
PHM solutions, on the other hand, must be timely in order to support proactive, data-driven healthcare decision making. They must, at a minimum, perform ad-hoc data analysis across all regions and cohorts, integrate healthcare, financial, and administrative data in near real time, and provide on-demand reporting. Such as
- Data analysis in real time and in the past
- Normalization and semantic interoperability.
- Scalable and robust IT infrastructure
- Integrations with APIs
- Governance and security of data
- Data analytics as a service
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