BOSTON, January 18, 2026 – The hype around artificial intelligence in healthcare is reaching a fever pitch, but a measured approach—focused on tangible improvements rather than futuristic promises—is essential, according to healthcare executive Dave Wessinger. He argues that organizations must prioritize achievable goals like streamlining administrative tasks and enhancing documentation to unlock AI’s true potential.
AI’s biggest impact in healthcare won’t be about replacing doctors, but about giving them better tools to do their jobs.
Wessinger, speaking recently, emphasized the importance of a “clinician in the loop” strategy, where AI assists healthcare professionals rather than making independent decisions. This cautious approach, he believes, is key to building trust and avoiding the pitfalls of imperfect technology.
Key Takeaways
- Focus on administrative automation first to build confidence in AI systems.
- Prioritize structured data to improve AI accuracy and reliability.
- Recognize that AI is a tool to augment, not replace, human judgment.
- Thorough due diligence is crucial when evaluating AI vendors.
“There’s a lot more to AI than the acronym,” Wessinger explained. “As you think about responsible AI, people don’t really give that enough time. You have to be really thoughtful about where the data is going, what the access looks like, what the security is, how the model is trained, and what the efficacy is.”
One area where AI is already proving valuable is in documentation. Wessinger highlighted how AI can analyze patient charts in real-time, identifying gaps in information or potential issues—like an unreported fall—that could lead to litigation. By flagging these discrepancies, AI helps clinicians proactively address concerns and protect their organizations.
“Litigation often is related to how well you document,” Wessinger said. “AI is perfect for that. It’s very difficult to go through every chart for all of your patients and understand what is happening and make sure you have closed off those gaps in real time.”
He illustrated this with a scenario involving resident status updates in nursing homes. AI can quickly synthesize information from shift notes, providing a concise overview of a patient’s condition to incoming staff, saving valuable time and improving care coordination. Similarly, AI can condense lengthy patient records—sometimes exceeding 250 pages—into actionable summaries for emergency department physicians.
“AI can take a 250-page document of a patient’s chart, synthesize it, and summarize it,” Wessinger explained. “So whenever they have that transfer of care in the emergency department, for instance, it will just surface the most actionable essential information.”
However, Wessinger cautioned that AI’s accuracy isn’t foolproof. Models perform best when working with structured, codified data, and the potential for “hallucinations”—AI generating incorrect or misleading information—remains a concern. He stressed the need for continuous monitoring and clinical verification, especially in high-stakes situations.
“You should be extremely confident in what comes in relative to what you could do as a human,” Wessinger said, referring to AI’s ability to process information. “But there are going to be some things lost along the way as we create some of those efficiencies. It is going to take a little bit of time to get perfectly accurate.”
The “human in the loop” is critical, Wessinger emphasized. AI should augment clinical decision-making, not replace it. He envisions AI handling routine administrative tasks—like verifying patient insurance coverage—freeing up clinicians to focus on direct patient care.
While concrete outcomes data is still emerging, Wessinger believes AI has the potential to significantly impact healthcare’s bottom line. By improving efficiency, reducing errors, and optimizing revenue cycle management, AI can deliver real value to organizations.
For healthcare providers considering AI solutions, Wessinger advises a cautious and inquisitive approach. He recommends asking vendors about data security, model training, and the overall value proposition. He likened the current AI landscape to purchasing a golf club, urging buyers to look beyond the marketing hype and focus on tangible benefits.
“Focus on the value, not AI,” Wessinger advised. “What are you delivering to my company in terms of value? Every board, every organization, and everybody I talk to is all about AI first. I would be opposed to that.”
Ultimately, Wessinger is optimistic about AI’s future in healthcare, predicting that the next two years will bring more innovation and value than the previous 25. But he stresses that success will depend on a responsible, thoughtful, and patient approach.
Related reading
