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.
Sorting: Highest -> Lowest
Showing 10 of 91 companies ranked by annual revenue.
Haymarket, New South Wales, Australia
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.
Singapore
UltraGreen.ai is a pioneer in healthcare intelligence committed to improving surgical results globally.
New York, New York, United States
SmarterDx builds clinical AI that empowers hospitals to review 100% of patient charts, appeal every denial, and achieve their full revenue integrity potential.
Cambridge, Massachusetts, United States
OpenEvidence is the leading medical information platform that offers an AI-powered platform organizing and expanding medical knowledge for clinicians, providing real-time, evidence-based answers.
Cambridge, Massachusetts, United States
Developer of an artificial intelligence powered life sciences software platform designed to synthesize the exponentially growing biomedical knowledge. The company's platform uses neural networks (shallow and deep learning models) for real-time, automated extraction of knowledge from the scientific, regulatory and commercial body of literature, enabling healthcare enterprises to make biomedical knowledge computable.
Larkspur, California, United States
Caresyntax is a digital surgery platform that enables OR teams to predict and improve surgical performance. It is focused on making surgery safer and smarter by converging AI-powered software, devices, and clinical services.
Tel Aviv, Israel
Scopio Labs is transforming cell morphology analysis, offering fully digital applications, platforms, and diagnostic support that enhance clinical workflows. By assisting lab experts with fast, early, and accurate detection and diagnosis of disease, Scopio expedites patients' access to life-saving treatments. .
Modi'in, HaMerkaz, Israel
FIZE Medical is focused on bringing the future of AI-powered fluid management to ICU today. Our technology takes the guesswork away from the kidney functioning status enabling early detection of deterioration and adjustment of therapy for improved patient outcomes.
Palo Alto, California, United States
Hippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health. The company was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA. Hippocratic AI has received a total of $278 million in funding and is backed by leading investors, including Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems. For more information on Hippocratic AI, www.HippocraticAI.com.
- 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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