How Data Analytics and AI Can Reduce Clinician Burnout in Healthcare Systems with Lori Runion Resultant
Release Date: 03/30/2026
Empowered Patient Podcast
Lori Runion, a director at Resultant, identifies inadequate scheduling and related staffing unpredictability as a central cause of clinician burnout. Healthcare organizations traditionally rely on historical averages for scheduling, often resulting in a mismatch between patient demand and clinician capacity. Breaking down data silos and using analytics and AI to create predictive staffing models can help forecast demand, anticipate seasonal spikes, and enable proactive staffing to reduce clinician burnout. Lori explains, " From my perspective, burnout is driven at the operational level. To say...
info_outlineEmpowered Patient Podcast
Lori Runion, a director at Resultant, identifies inadequate scheduling and related staffing unpredictability as a central cause of clinician burnout. Healthcare organizations traditionally rely on historical averages for scheduling, often resulting in a mismatch between patient demand and clinician capacity. Breaking down data silos and using analytics and AI to create predictive staffing models can help forecast demand, anticipate seasonal spikes, and enable proactive staffing to reduce clinician burnout. Lori explains, " From my perspective, burnout is driven at the operational level. To say...
info_outlineEmpowered Patient Podcast
Bill Heller, Chief Operating Officer at CHG Healthcare, is focused on the significant and growing demand for physicians across numerous specialties and on providing a flexible solution for healthcare facilities to maintain services with temporary physician staffing. Rural healthcare facilities are especially dependent on temporary staffing to overcome challenges in attracting and keeping permanent medical professionals. Physicians at all career stages are drawn to locum tenens work, and it has evolved from a niche practice to a mainstream strategy for healthcare facilities and...
info_outlineEmpowered Patient Podcast
Bill Heller, Chief Operating Officer at CHG Healthcare, is focused on the significant and growing demand for physicians across numerous specialties and on providing a flexible solution for healthcare facilities to maintain services with temporary physician staffing. Rural healthcare facilities are especially dependent on temporary staffing to overcome challenges in attracting and keeping permanent medical professionals. Physicians at all career stages are drawn to locum tenens work, and it has evolved from a niche practice to a mainstream strategy for healthcare facilities and...
info_outlineEmpowered Patient Podcast
Jean-Philippe Vert, the Co-Founder and CEO of Bioptimus, is building a foundational AI model for biology to solve the problem of siloed biomedical research. Key goals are to bridge the translational gaps between drug discovery and development, and between clinical research and real-world patient outcomes, and to redesign clinical trials for greater efficiency and improved results. Creating digital twins of patients is a way to simulate treatment outcomes and create synthetic control arms for clinical trials, ultimately lowering the risk and cost of drug development and enabling the creation...
info_outlineEmpowered Patient Podcast
Jean-Philippe Vert, the Co-Founder and CEO of Bioptimus, is building a foundational AI model for biology to solve the problem of siloed biomedical research. Key goals are to bridge the translational gaps between drug discovery and development, and between clinical research and real-world patient outcomes, and to redesign clinical trials for greater efficiency and improved results. Creating digital twins of patients is a way to simulate treatment outcomes and create synthetic control arms for clinical trials, ultimately lowering the risk and cost of drug development and enabling the creation...
info_outlineEmpowered Patient Podcast
David Stamler, CEO of Alterity Therapeutics, is developing a drug to treat multiple system atrophy (MSA), a rare and rapidly progressing neurodegenerative disease that often presents as Parkinson's disease but is distinct and more aggressive. There is no single genetic cause or specific biomarker, making accurate diagnosis a significant challenge. The lead drug is a novel small molecule designed to manage excess reactive iron in the brain, which drives the disease, and may be effective for other neurodegenerative diseases involving iron dysregulation. David explains, "Multiple system atrophy...
info_outlineEmpowered Patient Podcast
David Stamler, CEO of Alterity Therapeutics, is developing a drug to treat multiple system atrophy (MSA), a rare and rapidly progressing neurodegenerative disease that often presents as Parkinson's disease but is distinct and more aggressive. There is no single genetic cause or specific biomarker, making accurate diagnosis a significant challenge. The lead drug is a novel small molecule designed to manage excess reactive iron in the brain, which drives the disease, and may be effective for other neurodegenerative diseases involving iron dysregulation. David explains, "Multiple system atrophy...
info_outlineEmpowered Patient Podcast
Greg Mayes, President and CEO of Reunion Neuroscience, and Dr. Manish Agrawal, the Co-Founder and CEO of Sunstone Therapies, shine a light on adjustment disorder, a disproportionate emotional or behavioral reaction to a significant life stressor such as a cancer diagnosis. This under-recognized condition lacks FDA-approved treatments and is often managed with SSRIs or talk therapy. The REKINDLE study evaluated the use of a psilocybin analog drug in development for treating adjustment disorder and has shown positive results by integrating emotional treatment into the standard of care for...
info_outlineEmpowered Patient Podcast
Greg Mayes, President and CEO of Reunion Neuroscience, and Dr. Manish Agrawal, the Co-Founder and CEO of Sunstone Therapies, shine a light on adjustment disorder, a disproportionate emotional or behavioral reaction to a significant life stressor such as a cancer diagnosis. This under-recognized condition lacks FDA-approved treatments and is often managed with SSRIs or talk therapy. The REKINDLE study evaluated the use of a psilocybin analog drug in development for treating adjustment disorder and has shown positive results by integrating emotional treatment into the standard of care for...
info_outlineLori Runion, a director at Resultant, identifies inadequate scheduling and related staffing unpredictability as a central cause of clinician burnout. Healthcare organizations traditionally rely on historical averages for scheduling, often resulting in a mismatch between patient demand and clinician capacity. Breaking down data silos and using analytics and AI to create predictive staffing models can help forecast demand, anticipate seasonal spikes, and enable proactive staffing to reduce clinician burnout.
Lori explains, " From my perspective, burnout is driven at the operational level. To say it most simply, I think that burnout is driven by unpredictability, specifically, what I want to talk a little bit about, predictive staffing. And so, when we think about staffing, the unpredictability and misalignment between patient demand and staffing capacity are really what's driving it. So I don't think it's a lack of resilience. I don't think it's necessarily that there are gaps in care, but there are constant coverage gaps and volatility in the workload. And so I think it's ultimately driven by that mismatch when patient demand and clinician capacity are misaligned. I think that healthcare is traditionally staffed based on historical averages rather than dynamic demand or patterns, and that's what creates the unpredictable shifts and last-minute schedule changes that lead to overextension and exhaustion, which drive burnout."
"So, for example, you think about your EHR, which includes your demand, your patient medical record, and you have a scheduling system that shows available capacity, and you may have claims data that shows utilization patterns or other things. So when they are only looking at one system, they have some blind spots. And so I think that if they're looking at connected systems and pulling all that data together to identify patterns and really see the full picture, that's where they can align patient demand with staffing capacity."
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