Healthcare technology is overcrowded with innovation. Right now, there are over 14,000 digital healthcare ventures worldwide and more than 3,500 AI health startups in the US. The inundation of the market with these new tools has spurred CIOs from curiosity to action. Around 52 percent of 2025 CHIME Survey respondents report active use of AI-powered tools, while 48 percent are still evaluating. Problematically, there are approximately 600 AI health applications that have implemented AI and a mere handful EHRs with AI-natively built-in, resulting in a market oversaturated with bolted on point solutions that create extra work for IT and clinicians rather than reducing it. Those same CIOs actively engaging with AI are already feeling point solution burnout, and nine out of 10 are ready right now to go past point solution to EHRs featuring fully embedded AI. 

 Complexity and integration challenges are driving the demand for native AI 

Managing multiple third-party point solutions isn’t uncommon in healthcare. In fact, a recent survey found that more than 55% of health organizations still use between 50 and 500 point solutions for health operations, and there are others using hundreds and even thousands more. This kind of volume creates extreme integration overhead across procurement, contracts, engineering, and security reviews. Within all these solutions, 81 percent of CIOs are overwhelmingly searching for ways to make work easier across their organizations through the automation of administrative tasks, according to the CHIME survey. While deployments remain fragmented, native AI can reduce the number of separate integrations required to manage existing workflows and limit the need for constant bespoke connections. In turn, that lowers operational burdens, reduces complexity, and with the right foundational EHR technology, makes automation deliverable at scale. 

 Regulatory and compliance risks make native AI an increasing necessity 

Regulatory compliance and data governance are nonnegotiable in healthcare, and CIOs are prioritizing these areas now more than ever. Nearly 40 percent of CHIME respondents said that security and compliance are top concerns for AI adoption, and nearly half rank native AI in EHRs as critical because these built-in tools can inherit and streamline security controls and vendor-managed compliance processes. Embedding AI directly into the core platform avoids ad hoc data flows and reduces exposure to numerous external contacts. Native architecture also simplifies audit trails, access controls, and incident response while enabling centralized governance that regulators require. 

 Native AI can help reduce or eliminate fragmentation of care 

Disconnected point solutions don’t just cause problems on the backend of healthcare. They fragment the patient experience and spread critical health data across multiple systems that may not readily talk to each other. An EHR that interoperates between systems gives access to all the data so AI natively built into the EHR can surface contextual recommendations, reduce duplicate documentation, and present a consistent patient record to clinicians and patients alike. This continuity reduces clinical risk and improves the healthcare experience for everyone, from care teams and administration to patients and caregivers. That’s why 100 percent of CHIME respondents believe AI that runs on interoperable systems is important for improving data sharing and care coordination in their organizations, and more than two-thirds believe it’s extremely important. 

 Native AI can make training easier and increase adoption of new solutions and processes 

CIOs know better than anyone that complex procedures and poor EHR usability, compounded by multiple user interfaces and inconsistent workflows, are a recipe for low-to-no adoption of new technology across care teams.  Clinical teams don’t have the time or the energy for these types of issues, not when more than three-quarters of them are already wasting crucial patient care and personal time digging out of documentation burdens. CIOs know this; that’s why 54 percent of CHIME respondents reported as the biggest challenge AI could solve in their EHRs, and 96 percent recognized the value of AI-powered tools such as ambient listening and automated notes. Deployed with native AI, these tools become more easily adoptable. Native AI is built inside familiar workflows, reducing training needs and accelerating the adoption of productivity features that clinicians will benefit from and use. Higher adoption means faster clinical benefits and less clinician frustration. 

 Balancing cost and sustainable ROI are more realistic with native AI 

The financial burden of licensing, integrating, and maintaining multiple point solutions makes it almost impossible to achieve any sort of reasonable return on investment, and CIOs already know it. That’s why more than 30 percent of CHIME respondents are measuring the success of AI in their EHRs with metrics including revenue cycle efficiency and collections, and reduction in IT and infrastructure costs. Native AI cuts duplication of effort across solutions, consolidates support contracts, and reduces long-term integration costs. That allows health organizations and CIOs to measure outcomes more directly against not only these key metrics but also documentation time, adoption rates, and improved healthcare. 

 What’s next for native AI in healthcare? 

Across the healthcare landscape, the choice is clear: the path to scalable, secure, and fully adopted AI is native, not bolted on. CIOs seeking predictable, reproducible, and scalable outcomes must prioritize partnerships and platforms that deliver on AI that’s fully embedded into the EHR core, so governance, interoperability, workflow continuity, and measurable ROI are all possible from day one. Choosing a native AI EHR does more than integrate AI into the system; it reduces complexity and risk while accelerating clinician documentation relief and financial performance. For CIOs looking towards long-term operational stability and clinical quality, native AI is the only strategic choice that makes sense.  

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