The evolution of shared risk arrangements between payers, providers and care managers has created the need for a comprehensive population health management strategy at multiple levels. Successful population health management requires intervention on a patient centric basis as well as the management of similar patients aggregated into populations. Management at both of these levels requires a three pronged approach: 1) data collection and integration from multiple sources, 2) risk stratification and predictive modeling to prioritize interventions, and 3) front-end operational applications and tools for care management and outcomes measurement. hMetrix offers highly customizable and secure population health management solutions for payers, providers and care managers.
Proper data collection and integration is critical toward developing successful population health management strategies.
hMetrix' patient-centric risk stratification process is based on objective assessment outcomes, an expert clinical system and predictive models that use machine-learning algorithms. The result is a significant return on investment from the appropriate allocation of resources and early aggressive management of patients with the greatest needs.
hMetrix offers a number of customizable front-end applications and tools that can be used by program managers for care plan development and management, reporting as well as for patient monitoring and education.