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As hospitals increasingly adopt enterprise AI solutions, Doximity is ramping up its technology investments to capture a significant share of this growing market.
Doximity, a leading digital platform for U.S. Medical professionals, is significantly boosting its artificial intelligence (AI) spending, driven by the faster-than-expected adoption of its AI tools among clinicians. The company's CFO highlighted this strategic move during a recent earnings call, emphasizing that hospital enterprise AI platforms are poised to become a major growth driver.
Doximity offers a suite of workflow tools for healthcare professionals, including telehealth solutions, clinician-to-patient dialer tools, and digital faxing capabilities. Its paying customers span pharmaceutical manufacturers, health systems, and medical recruiting firms. The company aims to establish itself as a leading AI platform for doctors by scaling its clinical AI suite, which includes the ambient notetaking tool Scribe and the clinical AI assistant Ask.
A year ago, Doximity acquired Pathway Medical, a clinical AI company, for $63 million. This acquisition has allowed Doximity to integrate Pathway's datasets and AI technology into its free Doximity GPT product, now known as Ask. The integration has enhanced the platform's capabilities, making it more robust and user-friendly.
Healthcare AI is shifting from individual physician decisions to enterprise-level deployments, according to Doximity CEO Jeff Tangney. "We saw a shift early this year where it wasn't just individual decisions to go choose whatever AI I want to use. It became an enterprise decision," he told investors and analysts during the fiscal 2027 first-quarter earnings call.
This shift is driven by several factors, including the growing concern over patient data privacy and the need for accurate and trustworthy AI solutions. Hospitals are becoming increasingly wary of the risks associated with the leakage of protected health information (PHI) to the broader internet. Doximity's focus on privacy and security positions it well to capitalize on this trend.

Doximity has already secured 165 health systems as AI clients, including eight of the nation's top Honor Roll hospitals. Notable recent wins include Northwestern, Penn Medicine, and the University of Michigan. These partnerships underscore the company's growing influence in the healthcare AI market.
Wall Street has responded positively to Doximity's early returns on its AI investments. The company's shares have seen a significant boost, reflecting investor confidence in its strategic direction. As the healthcare AI market continues to evolve from a "Wild West" environment to one characterized by privacy and risk management, Doximity is well-positioned to lead.
Tangney emphasized that the company's success in telehealth positions it favorably for the AI space. "As this market migrates from AI 'Wild West' to privacy and risk management, we're well-positioned to win as we did in telehealth," he stated. This confidence is grounded in Doximity's proven track record of delivering reliable and secure solutions to healthcare professionals.
The shift towards enterprise-level AI adoption presents a substantial opportunity for Doximity. By continuing to invest in cutting-edge technology and fostering strong relationships with leading health systems, the company is well-equipped to navigate the evolving landscape and drive sustainable growth.
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Doximity bets big on hospital adoption of enterprise AI as it ramps up tech spending
↗ https://www.fiercehealthcare.com/ai-and-machine-learning/doximity-bets-big-hospital-enterprise-ai-platforms-it-ramps-tech-investment
About the author
Marcus began tracking AI's market implications in 2016, noticing AI-related patent filings accelerating ahead of earnings upgrades before most of the sell-side had caught on. A former fixed-income quantitative analyst, he spent two decades building models that priced risk across emerging markets before pivoting to cover the economic impact of AI full-time. His writing translates opaque technical developments into clear risk/reward terms — and he's rarely diplomatic about the gap between AI valuations and underlying fundamentals. He believes most market participants still underestimate AI's long-run deflationary effect on knowledge work.
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