AI in – Misryoum reports why AI’s real test in healthcare is reducing clinician burden and restoring time for patient care.
A healthcare visit can feel less like a conversation and more like a constant balancing act between the patient, the clock, and the ever-present system.
Misryoum argues that the most urgent challenge facing modern healthcare is not a shortage of artificial intelligence capabilities. but a shortage of attention.. In exam rooms where documentation demands. incoming messages. and multiple digital tools compete for focus. even experienced clinicians can end up splitting their attention at exactly the moments when presence matters most.
That mismatch is driving a shift in how Misryoum frames the AI conversation: away from adding more information and automation, and toward taking away friction that steals time and mental energy from care.
The core problem is not limited to any one technology.. Over the past decade. Misryoum notes that many healthcare systems have been built around frequent alerts. dense dashboards. and streams of signals.. The result is a workday that can overload clinicians with administrative and cognitive tasks during patient interactions. leaving less room for active listening and thoughtful engagement.
Insight: This matters because attention is the hidden input behind trust. When clinicians can stay focused, the visit tends to slow down naturally, improving communication without needing a higher volume of “activity.”
In this context. Misryoum says the success of AI in ambulatory care should be judged by what it removes as much as by what it can do.. The promise is straightforward: fewer repetitive documentation steps. fewer tool switches. and less cognitive burden—so clinicians can stay anchored in the conversation rather than turning away to keep up with the record.
Misryoum also highlights an important boundary: AI should support clinicians, not displace judgment.. The emphasis is on helping with information retrieval and pattern recognition. functioning as an additional layer of assistance while preserving human decision-making. empathy. and accountability.. When systems are designed to answer the right needs at the right moment, the workflow can become less disruptive.
Insight: If AI earns clinicians’ trust by reducing interruptions, it can improve both patient experience and clinician well-being, which are tightly connected in day-to-day care.
Ultimately, Misryoum frames the standard for AI in healthcare as a practical one.. If new tools don’t reduce burden for care teams and make the patient experience feel smoother. they miss the point.. The next phase. Misryoum suggests. is about building AI that fits the real flow of clinical work—cutting friction. supporting connected and reliable information. and returning valuable attention to the people delivering care.