Here is a diagram representing the Health Catalyst 2.0 Platform and Application stack. Below is a description of the key application categories that sit on top of the Health Catalyst Late-Binding ™ Data Warehouse Platform
Foundational Applications automates data provisioning and distribution and enables broad use of the data warehouse by providing dashboards, reports, and basic registries across clinical and operational areas.
Foundational Applications automates data provisioning and distribution and enables broad use of the data warehouse by providing dashboards, reports, and basic registries across clinical and operational areas. Deploying the complete set of Foundational Analytic Applications enables an organization to progress to Level 4 of the Analytic Adoption Model. At this level, an organization has aggregated and related all of their data together and has an automated, efficient system of reporting and distributing that data both internally and externally. Patient registries are in place for a broad range of clinical conditions, reports and dashboards make information broadly available within the organization, and there are systems in place to handle external reporting such as PQRS, Meaningful Use, and JCH.
Foundational Applications help clinical, financial, and operational teams advance down the path of understanding data in their specific areas of focus. Each Foundational Application consists of a near real-time data mart and one or more analytical applications that provide advanced analytics and drill-down capabilities in an easy-to-use web and mobile-accessible format.
Foundational Applications are not meant to identify deep-root cause analysis or predictive analysis but can provide significant information, historic trends, and patterns to a broad audience across your health system organization. They are built on a common flexible architecture with expandability in mind and are intended to be the team’s analytics foundation. Our architecture and application engine ease the process of adding metrics or changing existing metrics as the needs of your institution change.
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 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.
Advanced Applications provide deep insights into evidence-based metrics that drive improvement in quality and cost reduction through managing populations, workflows, and patient injury prevention.
Advanced Applications provide deep insights into evidence-based metrics that drive improvement in quality and cost reduction through managing populations, workflows, and patient injury prevention. The clinical process can be a disease condition, procedure, or clinical support service, such as operating room workflow or substance preparation. Health Catalyst provides a cross-functional team of clinical and technical resources that can help clients organize, implement, and deploy a clinical improvement program.
We include a variety of materials and content to accelerate each program, including recommended clinical cohort definitions, project charter templates, project plan templates, and order sets.
The technology component includes a data mart, applications, and visualizations specific to the clinical process. The application allows the clinical improvement team to define both clinical and financial improvement objectives and customize the metrics and visualizations to best fit the processes of the institution.
Use the menu on the side to navigate through specific applications for more detailed information.