Visonex analytic services provide clients with access to our proprietary data warehouse which allows clients unprecedented access to view, analyze, and display their data; limited only by their imagination. Descriptive, as well as predictive analytics, allow for accurate risk stratification across patient groups.

The abundance of healthcare information makes it necessary to better manage data and provide meaningful information providers can use to optimize patient care, while driving health care efficiencies. Whether you are managing an ACO or another alternative payment model, successful population health care involves having the right information, when you need it, where you need it. Visonex’s proprietary approach to aggregation and curation of health care data, along with AI/decision support tools, provides a meaningful, data-driven approach toward improved patient health, and streamlined workflows to reduce public health system costs.

Data Collection

Visonex has the interoperability to import data from multiple sources into its Analytics Data Warehouse (ADW). The data can be aggregated, scored (risk stratification), or reported in any number of ways to best meet our client’s needs and improve patient care. Visonex proprietary data warehouse combines healthcare analytics and data analysis to predict future patient outcomes.

Assess

Get the information you need when you need it. Visonex analytic services can describe (descriptive analytics) the patient’s status and overall state of the organization (such as with a quality measures report). Health care analytics helps dialysis clinics describe current population health status and improve patient outcomes.

Trend Data

Predicting patient outcomes through risk stratification (ex. hospitalization, CV events), is key to a successful plan of care navigation. Using current and past data, health care predictive analytics can improve patient outcomes and prevent patient health care costs from rising.

Advanced Use of Analytics

With current patient status and predictive risk data, practitioners are better able to prescribe targeted therapies. Prescriptive analytics assist in developing care pathways to improve patient outcomes. When combined with the AI/machine learning decision support tools built into Clarity, this can further optimize dialysis center patient outcomes.

Facebook Page of the Service

Twitter Page of the Service

linkedin Page of the Service

Website of the Service