Discovery Applications allow users to discover patterns and trends within the data that inform prioritization, inspire new hypotheses, and define populations for management.
Discovery Applications allow users to discover patterns and trends within the data that inform prioritization, inspire new hypotheses, and define populations for management. Health Catalyst Discovery Applications help health systems and clinicians pinpoint the areas they should focus on to achieve operational, financial, and quality goals.
Discovery Applications inform organizational prioritization efforts based on variation, discovery of new cohorts, selection and stratification by comorbid condition, analysis of payer mix, and predication of readmission risk, among others. These applications are often used at an early stage of a Health Catalyst deployment since they typically cover a broad range of data.
Discovery Applications are built on a flexible architecture that allows for models, algorithms, rules, definitions, and hierarchies to be easily editable and expandable by clinicians rather than requiring programming expertise to add or modify.