For years, healthcare leaders have been promised that technology would transform care delivery. Yet for many clinicians, technology has sometimes done the opposite — adding complexity, increasing documentation burden, and contributing to burnout.
The most meaningful impact of artificial intelligence in healthcare isn’t futuristic; it’s already changing the day-to-day work of care teams.
The practical impact of AI is happening now
AI is already proving its value by eliminating low-value, repetitive work that pulls clinicians away from patient care. Ambient documentation, automated chart review, coding support, and patient summarization aren’t necessarily flashy, but they’re delivering real, measurable relief to frontline teams.
As Rob Bessler, M.D., chief executive officer of Honest Health, noted during a recent Modern Healthcare Healthcare Insider podcast, “Anywhere you can remove tasks that are low value to the provider, that are repetitive in nature, that’s where AI can have the biggest impact.”
Reducing administrative burden improves care
Clinicians today spend an extraordinary amount of time on administrative tasks that add little clinical value. Every minute spent documenting, searching through records, or chasing information is a minute not spent with patients or on patient care and coordination.
AI changes that equation by taking on responsibilities that do not require human judgment, allowing clinicians to focus on the work that does.
That shift has tangible effects. When documentation improves, communication across care teams improves. When chart review is faster and more accurate, clinical decision-making improves. And when clinicians are freed from constant administrative drag, engagement improves.
Engagement improves when clinicians can focus on care
For Bessler, the connection between workflow relief and engagement is clear. “The number one way to drive engagement is to make physicians more proud of the care they provide,” he said.
Removing unnecessary administrative friction allows clinicians to practice to their full potential and reconnect with the reason they entered medicine in the first place.
Scaling support across care teams
AI’s impact extends beyond physicians. In value-based environments, care managers and coding teams often carry heavy administrative loads. By using AI tools to surface insights and prepare documentation at scale, teams can shift away from manual review and toward higher-value work.
At Honest Health, this shift has changed how teams operate day to day. As Bessler explained on the podcast, “We went from having a coder review 20 or 30 charts in a good day to being able to generate tens of thousands of pre-visit plans in a single day.”
The result is not just efficiency, but better use of clinical and operational expertise.
Focus on friction before transformation
Importantly, the most effective AI tools are not the most complex; they are the ones that fit seamlessly into existing workflows and deliver immediate, visible benefit. This is why ambient documentation and summarization tools have seen rapid adoption — clinicians trust them because they improve daily work without adding burden.
That practicality was echoed by Seema Verma, executive vice president and general manager of Oracle Health and Life Sciences, during the same conversation. “A lot of the healthcare dollar is spent on people doing manual, redundant work,” Verma said. “AI can start doing some of that work and leave more of the human work to humans.”
The takeaway for healthcare leaders is straightforward.
Meaningful transformation starts by fixing the friction points clinicians experience every day. AI does not need to replace clinical expertise to deliver value but rather remove the obstacles that prevent clinicians from practicing at the top of their abilities.
Healthcare doesn’t need more technology for technology’s sake. It needs tools that respect clinicians’ time, reduce unnecessary work, and restore focus to patient care.
This perspective was discussed by Rob Bessler, M.D. and Seema Verma on the Modern Healthcare Healthcare Insider podcast. Listen to the full discussion.