Top 91 Clinical Decision Support SaaS Companies in May 2026
As of May 2026, there are 91 SaaS companies in Clinical Decision Support. They have combined revenues of $849.4M and employ 4.4K people. They have raised $2B and serve 70.8K customers combined.
Clinical Decision Support (CDS) systems are advanced software applications designed to assist healthcare professionals in making informed clinical decisions. By integrating patient data with clinical knowledge and guidelines, these systems provide tailored recommendations for diagnosing, treating, and managing patient care. Typical features include alert systems for drug interactions, clinical reminders, diagnostic support tools, and analytics that leverage large datasets to improve healthcare outcomes.
The primary users of clinical decision support systems include physicians, nurses, and other healthcare professionals involved in patient care. By utilizing these systems, medical practitioners can enhance the quality of care they provide, reduce errors, and streamline workflows. Common workflows may include patient assessment, decision-making based on evidence-based guidelines, and ongoing patient monitoring, all aimed at ensuring optimal patient outcomes.
Harrison.ai is a global healthcare technology company on a mission to urgently scale healthcare capacity through AI-powered medical imaging diagnostic support. The company is clinician-led and leverages deep learning to improve healthcare outcomes.
UltraGreen.ai is a pioneer in healthcare intelligence committed to improving surgical results globally.
Revenue
$114.7M
Customers
-
Year founded
2024
Funding
$588M
Team size
22
Growth
-
Inclusion Criteria
- The product must provide actionable insights and recommendations based on clinical data.
- It should integrate with electronic health records (EHR) and other clinical systems.
- The solution must support evidence-based guidelines and alerts for healthcare providers.
- It should enhance clinical workflows, aiding in both diagnosis and treatment plans.
- The product is not just an EHR system; it must specifically provide clinical decision support functionalities.
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