Healthcare Analytics

Caradigm delivers the business and clinical intelligence to generate insights and drive better decisions.

Caradigm’s healthcare analytics solutions identify and measure outcomes and costs within the complex interactions of the healthcare system. To achieve desired financial results, you must account for every patient in a defined population—those within the health system as well as those outside of it, including the numbers of patients in need of preventive care, post-acute care, and chronic care management. Given this environment with healthcare challenges too vast, resources too few, and patients too numerous, high-touch care management processes must give way to a new approach to patient care.

To support population health, your organization needs analytics that deliver retrospective review, ongoing surveillance and predictive modeling.

Caradigm offers a number of analytics solutions designed to identify the insights within the complexity of healthcare. Caradigm’s offerings include solutions that report retrospective activity, monitor current activity and predict future activity, as well as provide the tools for root-cause analysis.

Reporting Analytics

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Quality Improvement tracks performance on key quality measures - including those for MIPS and the ACO measure sets - and enables workflows to proactively improve performance on them. It includes quality measure computation, performance benchmarking, quality gaps analysis, patient-centric quality management and quality improvement programs and campaigns tracking Quality Improvement is powered by an Advanced Computation Engine that offers a responsive and effective tool to optimize the reporting of quality measures.

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Utilization & Financial Analytics enables healthcare delivery organizations to identify and understand opportunities for financial improvement, trend performance and perform comparative analysis, through deep analytics, reporting and performance metrics. UFA leverages aggregated data to provide cross-organization analysis of care delivery and cost trends, and enables users to take action on insights that have been discovered.

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Patient Analytics

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Cohort Designer is a tool to define and manage specific groups of individuals. Cohort analytics use incoming data to identify at-risk patients, facilitate timely interventions and proactively manage those patients, as well as measure results, performance and compliance—identifying areas for improvement.

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Predictive Analytics

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Readmissions Management identifies patients at highest risk of readmission while still admitted—enabling your clinicians to intervene before discharge—reveals trends among readmission indicators and provides for root-cause analysis. Furthermore, the application incorporates your own utilization data to improve the algorithm’s predictive accuracy specifically for your organization.

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Risk Management, powered by LexisNexis with MEDai science, identifies populations of patients, stratifies them (by risk, utilization, motivation and other factors), predicts costs and potential savings, and supports care management to drive better outcomes.

See How It Works.
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Featured Resources

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On-Demand Webinar

The Current and Future State of DSRIP in California

On-Demand | “The Current and Future State of DSRIP in California”

 

Featured Blogs

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On-Demand Webinar


On-Demand | “Quality Improvement: From Reporting to Real Change Featuring Billings Clinic”