Healthcare Analytics

The costliest 1% of all patients in the US consume 20% of the nations’ healthcare spending. At the same time, health system wastage is about $765 billion each year – about 30% of the overall healthcare spending. Against this backdrop, the need of the hour is a powerful tool like Health Analytics that identifies the following:

  • Patient segments which have gaps in care
  • Behavioral anomalies like medication non-adherence
  • Inefficiencies in health services delivery

ValueLabs’ Health Analytics Solution helps you do all the above by making evidence-based business decisions through next generation analytic capabilities.

Our solution incorporates data integration across multiple sources, formats and stakeholders. Further transformations are carried out to arrive at a longitudinal view of the patient’s data. To handle multiple scenarios and pain points, ValueLabs has prepared a large repository of scores including risk scores, care gaps, service utilization and medication patterns, and cost distributions. These scores allow summarization of patients’ journeys and provide a comprehensive view of them, thus enabling care managers to take real-time care actions. Understanding the relationship between these features through predictive analytics further allows formulating preventive actions and programs.

Some of the key highlights of our Health Analytics solutions include:

  • VRisk scores: Patient-level scores that are a combination of health risk, utilization and cost that allow for identifying segments for appropriate care delivery.
  • Comorbidity Analyzer: Identifies common disease clusters and visualizes the lift effects of one disease on another
  • Physician Network Analyzer: Determines patient flows, visualizes linkages and key node locations for referrals
  • Adherence Tracker: Identifies drivers of medication and therapy adherence
  • Care Gap Analyzer: Determines cost impact of unnecessary tests, missed screenings and non-compliance with care pathways
  • Physician / Hospital efficiency: Examine costs and outcomes across physicians / hospitals for various episodes of care, like hip transplants and urinary tract infections
  • Predictive Risk Scoring models: Help predict patients likely to attain chronic conditions; predict patients at greatest risk to require rehospitalization; predict cost and utilization trends

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