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Despite Epic's dominant grip on hospital IT, a new survey reveals that startups can still win over health systems by offering significantly better ROI or niche solutions.
Epic, the healthcare technology giant, continues to hold a tight grip on the hospital IT market. However, a recent study from Redesign Health suggests that while hospitals generally prefer and trust Epic's technology, they remain open to buying from external vendors under certain conditions. This presents both challenges and opportunities for startups looking to break into this highly competitive space.
The survey, which included 112 executives from Epic-based health systems across the country, found that 71% of respondents describe their organizations as "Epic-first." Not a single executive indicated a preference for external vendors by default. More than 90% expressed confidence that Epic will eventually deliver AI tools on par with or better than those of outside vendors.
Despite this strong loyalty to Epic, hospitals are willing to explore options from startups when the product offers a significantly higher return on investment (ROI). According to the survey, 49% of respondents said external vendors must demonstrate a "significantly higher" ROI compared to Epic's solutions to win their business. This is a crucial factor for startups aiming to penetrate the market.
Another key finding is that department leaders often have the autonomy to make purchasing decisions, bypassing central IT. More than half of the respondents indicated that department heads can independently choose tools, at least initially, before these solutions are eventually integrated into the broader IT infrastructure. This provides startups with a valuable entry point, as they don't need to compete directly on Epic's home turf.
Hospitals are also more likely to select external vendors when Epic's offerings in specific categories fall short. The survey highlighted clinician-facing AI tools like ambient scribing and imaging AI as areas where startups have the best chance of winning business. These categories represent niches where Epic has historically moved slower or placed less emphasis, giving specialized vendors a competitive edge.

For example, 48% of respondents cited ambient scribing as a category well-suited for startups, while 44% pointed to imaging AI. Patient AI assistants and revenue cycle AI were also mentioned as areas with potential opportunities. This suggests that startups can succeed by focusing on deep clinical solutions where Epic's presence is less established.
One surprising finding from the survey is that a startup's track record may matter less than expected. Health system executives are more focused on the immediate value and ROI of the product rather than the vendor's history or reputation. This opens the door for newer, less established companies to compete effectively if they can demonstrate clear benefits.
Epic's expansion into new areas like enterprise resource planning (ERP) and AI is narrowing the window for competitors. However, this survey highlights that startups can still find opportunities by focusing on niche markets and demonstrating significant value. The healthcare industry is evolving rapidly, and while Epic remains a dominant player, there is room for innovation from outside vendors.
The key for startups is to identify specific pain points and offer solutions that are not only better but also show a clear financial benefit. By leveraging departmental autonomy and targeting areas where Epic's offerings are weaker, startups can carve out their own space in the healthcare technology landscape. As the industry continues to advance, the balance between established players like Epic and innovative startups will shape the future of hospital IT and patient care.
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Original Sources
Epic-First Doesn't Mean Epic-Only: Where Hospitals Are Still Buying from Startups - MedCity News
↗ https://medcitynews.com/2026/07/epic-health-system-startup
About the author
Amara's entry point into AI was an epidemiology role at a London research hospital, where she spent five years studying how digital health tools reached — or conspicuously failed to reach — underserved communities. Watching early algorithmic systems in healthcare quietly entrench existing inequalities, she redirected her career toward the systemic consequences of AI at scale. She covers AI through an unflinching lens: who benefits, who bears the cost, and what evidence actually says versus what the press release claims. Her writing is calm and precise, but she doesn't mistake balance for neutrality.
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