US Clinical Decision Support System (CDSS) Growth Opportunities

Sparking Future Growth Potential for Health Data, AI, and SDoH to Increase Accuracy and Efficiency among Providers and Payers and Improve the Patient Journey

Clinical decision support (CDS) is a broad concept with many definitions that are used variably, depending on the perspective and role of the expert. It includes a mix of evidence (content), analytics, workflow, devices, and software-based solutions that must include electronic health records (EHRs) and be maintained by an IT platform.

This report reviews the growth opportunities that are driving the US CDSS market. It provides the current market segmentation that includes a mix of established content-based solutions and technical companies that are attracted to the CDSS space. The 4 segments covered are decision evidence and protocols, decision workflow, decision analytics, and decision delivery.

Research Scope

For the purpose of this study, the author has mapped and forecasted clinical decision support systems based on a mix of evidence (content), analytics, workflow, and point-of-care (POC) solutions. The study attempts to focus specifically on solutions that have a visible presence within the CDSS space. A number of start-ups are building new solutions that have earned minimal revenue, but some of these companies will be listed. Also, the study includes examples of companies that are outside of the CDSS market but offer adjacent data inputs and solutions that add value to a CDSS. The revenue estimates focus only on revenue attributed to CDSS. In some cases, such as analytics, EHR, or medical device companies, CDSS revenue represents a small part of a larger revenue stream. The study period is 2021-2026 with forecasts covering 2022-2026.