As of September 2026, Latka tracks 28 clinical decision support SaaS companies with $1M–$5M in annual revenue. They have combined revenues of $69.9M and employ 726 people. They have raised $53.5M and serve 70K customers combined.
Every company below sells clinical decision support software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
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 28 companies ranked by annual revenue.
Dover, Delaware, United States
DecisionRx is a technology-enabled healthcare services company that helps prescribers optimize medication therapy, improving patient outcomes and reducing healthcare costs.
Columbia, Maryland, United States
Developer of a cloud based quality management software designed to provide comprehensive quality reporting services for hospitals and clinicians. The company's software provides inpatient quality reporting, automates daily data extracts, monitors performance, supports 500+ measures including eCQMs, abstracted and claims, facilitates clinical workflow analysis and data validation, identifies specification updates and measure improvement, enabling hospitals to provide patients with the best quality of care and patients to improve their safety.
Ann Arbor, Michigan, United States
At ArborMetrix, advancing healthcare through data science is our mission, and delivering high impact, intuitive technology and analytics is our passion. Our leading healthcare analytics solutions are proven to deliver targeted, clinically-deep insights that improve clinical outcomes, optimize financial performance, increase stakeholder value, and measure the real-world effectiveness of treatments and procedures, as well as medical device technologies and pharmaceuticals. Learn more how ArborMetrix can help you by visiting our website and exploring our solutions and capabilities. Become a part of ArborMetrix’s talented and growing team by exploring our current job openings.
Seoul, South Korea
Developer of a medical data analysis platform intended to improve medical disease diagnosis. The company's diagnostics platform utilizes the machine and deep learning algorithms to analyze patient imaging data and gain insights that help doctors diagnose diseases, enabling researchers and physicians to quickly and accurately identify diseases and illnesses.
Portland, Oregon, United States
Axis Clinical Software, Inc. Innovative software solutions for managing clinical data, registry participation, and for facilitating sound decisions and better care—all things that ultimately reduce costs and improve outcomes.
La Ciotat, Provence-Alpes-Côte d'Azur, France
Avicenna.AI offers artificial intelligence solutions tailored for emergency radiology and incidental findings. Through collaboration with experts and software engineers, we enhance radiologists' efficiency by streamlining their manual tasks with cutting-edge tools.
San Francisco, California, United States
Provider of predictive charting interface for primary care medical records intended to advance clinicians' practice of medicine. The company's platform reduces paperwork and allows users to collect and manage data through digital device that contains all of a patient's medical history from one practice, enabling them to improve the quality and efficiency of health care.
Atlanta, Georgia, United States
Developer of a Software as a Service platform intended to replace the labour-intensive process of collecting, presenting and reporting cases for cancer conference. The company's platform merges case-specific clinical decision support criteria, including applicable clinical trials, to support the multi-disciplinary approach to care treatment, enabling the patient to have access to the best possible minds, therapies and innovations in care.
Los Angeles, California, United States
Developer of an interactive patient decision support platform intended to deliver actionable insight on patient goals, preferences, and barriers to drive smarter treatment choices. The company's platform provides personalized reports that include evidence-based treatment options, medical records, personal values and preferences regarding patients treatment options, enabling patients and their doctors to make the optimal decisions easily.
Auckland, New Zealand
SaaS for orthopedic surgery planning using the fusion of AI and biomechanics to improve patient outcomes and clinical efficiency.
Latka tracks 28 clinical decision support SaaS companies with $1M–$5M in annual revenue. Together they generate $69.9M in annual revenue and employ 726 people.
DecisionRx is the largest, with $4.9M in annual revenue, founded in 2022.
The average clinical decision support SaaS company in this list makes $2.5M a year, across 28 companies with reported revenue. They serve 70K customers combined.
Ranked by annual revenue, the leaders are DecisionRx, Medisolv, ArborMetrix, Vuno and Axis-Clinical Software.
The 28 clinical decision support SaaS companies with $1M–$5M in annual revenue tracked here have raised $53.5M in disclosed funding between them.
- 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.
Sign up to access all features
Sign up with GoogleSign up with LinkedInAlready have an account? Log in
GetLatka is trusted by 200k+ founders, researchers, and marketers.
No contracts, cancel at any time