Health system leaders are balancing massive patient demand, workforce shortages, costs, and administrative work. The question is no longer whether artificial intelligence can help. In many clinical settings, it already is.
The 2026 Philips Future Health Index U.S. report shows AI moving from promise to practice. AI-enabled tools are helping clinicians regain time, expand capacity, strengthen decision-making and reduce pressure on care teams.
“Healthcare leaders are navigating a period of extraordinary pressure, while also facing growing expectations to deliver better experiences and outcomes,” says Kristine Mullen, Chief Strategy and Growth Leader at Philips. “What’s becoming increasingly clear is that AI can play a practical role in helping organizations adapt to that reality. The focus now is less about the promise of the technology and more about how it can be implemented in ways that create meaningful value across the healthcare ecosystem.”
AI is giving clinicians time back
For clinicians, time shapes decision-making, patient interactions, and the ability to practice medicine with focus. Nearly half of U.S. healthcare professionals (49%) report time savings of at least 132 hours annually on average through AI-enabled tools, equivalent to nearly three full working weeks.
“I like to say that AI is creating more space for humanism in healthcare,” says Christopher H. Lee, Clinical Nurse and Interim Practice Transformation & Innovation Specialist, UCLA Health. “As productivity demands on nurses and physicians have grown, the human layer of care, listening, educating, simply being present with a patient, is often what gets pushed out first.”
“AI allows a clinician to synthesize and absorb a tremendous amount of data quickly; thereby, being able to better understand the patient and his needs. From a practical point of view, the clinician can spend more time listening and engaging rather than charting and abstracting,” says Aashish Shah, SVP & Chief Medical Officer, HealthTrust Performance Group.
That relief is also showing up in clinicians’ lives: 35% report better work-life balance, 36% report reduced work-related stress and 32% say they are doing less overtime or bringing less work home.
AI is helping care teams expand capacity
More than one-third of clinicians (36%) say AI has increased their capacity to see more patients, with a median increase of five additional patients per week. For hospitals and health systems, those gains can matter when patients are waiting for appointments, answers, or beds. The opportunity is to remove friction from workflows so care teams can spend less time searching, documenting, or piecing information together.
Philips’ AI-enabled clinical solutions point to how this can work in practice. Philips eCareManager Discharge Readiness Score helps care teams identify patients who may be ready for discharge, supporting earlier transitions, bed management, and care team capacity. In cardiovascular ultrasound, AI-enabled automation helps improve efficiency across the imaging workflow by supporting routine measurements and reducing manual steps.
“When AI-enabled technologies can provide a fast, accurate summary of a patient’s treatment history instead of requiring the physician to piece it together from disjointed records … the visit itself becomes far more efficient. That efficiency is what ultimately opens space to see more patients,” says Shakira Grant, Board-certified Medical Oncologist and Hematologist; Founder and CEO, CROSS Global Research & Strategy.
Safer care requires responsible AI
The impact of AI is not only operational. It is clinical, too. More than one-quarter of healthcare professionals (27%) say AI has helped them identify or prevent a potential medical error at least three times in the past three months. That does not mean AI is replacing clinical judgment. It means AI can serve as a second set of eyes, helping surface risks or changes in patient data before they affect care.
“AI tools have become an integral part of our clinical workflow. Whether through automated alerts within electronic medical records, ambient scribes or utilizing LLMs to support clinical decisions and diagnostics … the technology provides a vital safety net,” says Hansa Bhargava, Chief Clinical Strategy and Innovation Officer, Healio.
The question is no longer ‘can AI work in healthcare?’ It already is.
“This is just the beginning. As AI becomes embedded in all of our diagnostic and electronic health systems, we will soon be able to upskill all clinicians, seeing things that were previously hidden in the chart, providing meaningful contextualized recommendations to patients at the point of care,” says David Rosenthal, Associate Professor, Yale School of Medicine; Healthcare Venture Partner, AlleyCorp.
That next phase will require responsible AI: integrated ecosystems, clear governance, workforce training, cybersecurity, transparency, and ongoing monitoring. Today, 77% of healthcare professionals say training for AI-enabled tools is unavailable, limited, or inconsistent at their organization. At the same time, 93% say it is essential to keep a human in the loop as AI advances.
The AI dividend is becoming visible. The opportunity now is to scale those gains in ways that strengthen workflows, support clinicians, and keep human judgment at the center of care. Done well, responsible AI can help health systems deliver not just more care, but better care for more people.
*The opinions and clinical experiences presented herein are specific to the featured clinician(s) and are for information purposes only. Individual results may vary depending on a variety of patient-specific attributes and related factors. Nothing in this article is intended to provide specific medical advice or to take the place of written law or regulations.
