3D AGO

Can AI Improve Clinician Well-Being?

Why This Episode Matters Healthcare organizations are investing heavily in new technologies, yet many implementations unintentionally add complexity to clinicians’ daily work. This episode explores a different question: what if we deliberately evaluate tools for their ability to reduce friction and support clinician well-being? Dr. Chris Dale and Dr. Ryan Dix discuss the development and evaluation of MedPearl, a clinical decision support tool built to streamline referrals and support frontline clinicians. Their conversation highlights why system design, not individual resilience, is often the most powerful lever for improving workforce well-being. Key Ideas Explored Micro-frictions in clinical workflows accumulate into meaningful cognitive and emotional burdenOrganizational interventions often outperform individual resilience strategiesMedPearl was designed to capture and operationalize “tribal knowledge” in referral workflowsTechnology adoption spreads socially through trusted peer networksMeasuring well-being impact requires using existing data thoughtfullyThe future of innovation must include workforce impact, not just efficiency metricsTakeaways for Quality Leaders Treat clinician well-being as a system property, not an individual responsibilityLook for “sticky note problems” that signal hidden workflow frictionUse existing organizational data sources before launching new surveysExpect heterogeneous impact. Not every tool benefits every group equallyPair product design thinking with traditional improvement methodsMonitor indirect indicators of well-being, not just annual survey scoresRecognize that meaningful improvement will come from many small changes, not one solutionContinue the Conversation Connect with Dr. Ryan Dix through the Wellbeing Trust website to learn more about Providence’s workforce well-being initiatives. Follow Dr. Chris Dale on X (Twitter) or LinkedIn or visit Arborgenie.com to explore his work in AI and clinical data. This episode is especially useful for quality leaders, CMOs, CMIOs, operational leaders evaluating new clinical technologies, and anyone interested in the intersection between AI, data, quality improvement, and clinician wellbeing. If you found this conversation valuable, consider rating, commenting, or sharing with a colleague. Resources & Frameworks Referenced MedPearl clinical decision support toolQuadruple Aim frameworkPDSA cyclesEpicLeading Quality is a podcast for healthcare leaders committed to improving systems, culture, and outcomes. If you found this episode valuable, follow the show and share it with a colleague working to improve care. Connect with Jason Meadows on LinkedIn for more insights on healthcare quality and leadership. Help us build this podcast community from the ground up: share your top insight from this episode and where you’re seeing it in your own work. I read every response and will share what we’re learning over time in future episodes and other ways → https://docs.google.com/forms/d/e/1FAIpQLSfwJqqqJRFls9uBrAtkPki3mI7wJYWPPlA-r9qr-vvSeQCvGw/viewform?usp=header New episodes published every other Thursday at 7AM Eastern Time.

51 min

MAR 26

Why So Much Healthcare Quality Work Fails to Change the System (And What You Can Do About It)

Why This Episode Matters Many healthcare organizations say quality matters. Far fewer are built so improvement is part of daily operations. Too often, quality is treated as a department, a committee agenda, or a set of projects at the edge of the real work. In this conversation, Dr. David M. Williams offers a different frame. He argues that quality should function as an organizational strategy: clarifying purpose, understanding the system, choosing the right work, building capability, and creating conditions for learning. For leaders trying to move beyond scattered projects and initiative fatigue, this conversation offers a more coherent way forward. Key Ideas Explored Quality is not a department. It is a way an organization pursues its purpose. Many “errors” reflect poorly designed systems, not isolated individual failures. Project work loses power when it is reactionary, peripheral, or poorly aligned. Leaders need a theory for how quality works across the organization. Shared methods make improvement more teachable, scalable, and reliable. Improvement capability must connect to governance, priorities, and daily work. Takeaways for Quality Leaders Revisit your organization’s purpose and what it demands of the system. Examine whether your improvement work is focused on core work or safer side projects. Look for signs that quality is structurally marginal. Build a shared improvement method, not a patchwork of frameworks. Invest in helping teams get better at rigorous improvement. Treat implementation and spread as part of the work. Ask whether quality is changing how the organization actually operates.Continue the Conversation Connect with David M. Williams, PhD via his website or LinkedIn profile. His next QOS Series starts in April 2026: https://davidmwilliamsphd.com/qos-series/ Resources & Frameworks Referenced Quality as an Organizational StrategyThe QOS Field Guide W. Edwards Deming’s system of profound knowledge Deming’s “production viewed as a system” The Model for Improvement Leading Quality is a podcast for healthcare leaders committed to improving systems, culture, and outcomes. If you found this episode valuable, follow the show and share it with a colleague working to improve care. Connect with Jason Meadows on LinkedIn for more insights on healthcare quality and leadership. Help us build this podcast community from the ground up: share your top insight from this episode and where you’re seeing it in your own work. I read every response and will share what we’re learning over time in future episodes and other ways → https://docs.google.com/forms/d/e/1FAIpQLSfwJqqqJRFls9uBrAtkPki3mI7wJYWPPlA-r9qr-vvSeQCvGw/viewform?usp=header New episodes published every other Thursday at 7AM Eastern Time.

1h 9m

MAR 12

Leading with Love: Culture Change After a Healthcare Merger

Why This Episode Matters Quality functions in healthcare often struggle with perception. Too frequently, they are viewed as auditors or enforcers rather than strategic partners in improvement. In complex environments like post-merger health systems, this perception can become an even greater barrier to progress. In this episode, Lisa Harton, DNP, MBA/MPH, RN shares a grounded, experience-based approach to reshaping the role of quality by focusing first on relationships, mindset, and psychological safety. Her work offers practical insight for leaders trying to move from compliance-driven activity toward true system improvement. Key Ideas Explored Why quality teams must first become trusted partners before driving accountabilityUsing appreciative inquiry to unify teams after a merger of equalsHow clinicians move through “stages of grief” when confronted with performance dataWhat healthcare underestimates about the human side of high reliabilityThe role of boards and governance in advancing quality strategyWhy changing mindsets is prerequisite to changing behaviorsTakeaways for Quality Leaders Start culture change by intentionally redesigning the relationship between quality and operationsWhen clinicians question data, lean into joint learning rather than defensivenessUse established frameworks to create shared language across the organizationInvest deliberately in teamwork and communication training, not just technical fixesEngage boards with accessible tools that build confidence in quality oversightRecognize and celebrate small wins to build momentum and trustAnchor improvement work in purpose and shared aspiration, especially during mergersContinue the Conversation Connect with Lisa on LinkedIn to continue the discussion. This episode is especially useful for quality leaders navigating culture change, mergers, or reliability work. If you found this conversation valuable, consider sharing it with a colleague or leaving a brief rating or review. Resources & Frameworks Referenced Appreciative Inquiry frameworkIHI Whole System Quality frameworkIHI's Framework for Effective Board Governance of Health System QualityBarbara Fredrickson’s Positivity researchTeamSTEPPSHigh reliability principles (nuclear industry examples)Root Cause Analysis (RCA) Leading Quality is a podcast for healthcare leaders committed to improving systems, culture, and outcomes. If you found this episode valuable, follow the show and share it with a colleague working to improve care. Connect with Jason Meadows on LinkedIn for more insights on healthcare quality and leadership. Help us build this podcast community from the ground up: share your top insight from this episode and where you’re seeing it in your own work. I read every response and will share what we’re learning over time in future episodes and other ways → https://docs.google.com/forms/d/e/1FAIpQLSfwJqqqJRFls9uBrAtkPki3mI7wJYWPPlA-r9qr-vvSeQCvGw/viewform?usp=header New episodes published every other Thursday at 7AM Eastern Time.

47 min

FEB 26

Closing the Gap Between Potential and Performance in Healthcare

Why This Episode Matters Healthcare organizations are rich with intelligence, talent, and commitment. Yet leaders across systems feel exhausted, constrained, and stuck solving the same problems year after year. In this conversation, Dr. Laura Desveaux challenges the idea that improvement is primarily about adding more initiatives. Instead, she reframes leadership as the disciplined practice of learning, from everyday evidence, from diverse voices, and from the tensions we often try to resolve too quickly. This episode explores what it means to lead a true learning health system in operational reality. Key Ideas Explored The gap between current performance and true system potentialLearning health systems as a way of operating, not a series of projectsDe-implementation and “subtraction neglect” in healthcareHolding paradox: efficiency and humanity, population and individual careThe role of co-design and implementation science in scaling improvementAsking better questions as a leadership interventionTakeaways for Quality Leaders Start every initiative by clearly naming the problem you are trying to solve.Before adding a new project, ask what can be removed to create capacity.Integrate multiple forms of evidence: data, lived experience, front-line insight.Move beyond either/or thinking. Many leadership challenges are both/and.Build routines that embed learning into daily operations, not just pilot cycles.Revisit meeting structures, reporting formats, and governance processes with subtraction in mind.Anchor teams to shared outcomes while staying flexible on the path to get there.Continue the Conversation Connect with Dr. Laura Desveaux on LinkedIn or visit her website to follow her work in learning health systems and leadership development. This episode is especially useful for senior leaders, quality executives, and clinicians navigating complex system change. If this conversation resonated, share it with a colleague and consider leaving a review. Resources & Frameworks Referenced Leading Quality is a podcast for healthcare leaders committed to improving systems, culture, and outcomes. If you found this episode valuable, follow the show and share it with a colleague working to improve care. Connect with Jason Meadows on LinkedIn for more insights on healthcare quality and leadership. Help us build this podcast community from the ground up: share your top insight from this episode and where you’re seeing it in your own work. I read every response and will share what we’re learning over time in future episodes and other ways → https://docs.google.com/forms/d/e/1FAIpQLSfwJqqqJRFls9uBrAtkPki3mI7wJYWPPlA-r9qr-vvSeQCvGw/viewform?usp=header New episodes published every other Thursday at 7AM Eastern Time.

1h 6m

FEB 12

Building the Support System Family Doctors Have Been Missing

Why This Episode Matters In health systems around the world, the promise of better data is often discussed—but rarely realized in a way that actually supports clinicians at the point of care. In this episode, Gayle Grout shares her journey from technology and consulting into leading the Health Data Coalition of British Columbia (HDC), a physician-led not-for-profit organization that aggregates electronic medical record (EMR) data across multiple systems to help primary care providers understand their practice patterns, monitor improvement, and better serve patients. From dissecting processes to building trust with busy clinicians, this conversation explores how data becomes useful only when it is contextualized, trustworthy, and actionable. Throughout the episode, we dig into why measurement matters, how feedback loops can reconnect clinicians with purpose, and what it takes to nurture a culture where data supports learning rather than judgment. Grout’s experiences reveal the tension between consumer expectations of information access and healthcare’s lagging systems, and her vision for the future centers on equipping primary care with the tools and support it deserves. Key Ideas Explored Data is a byproduct of good processes, not the starting point of improvement.Trust and non-judgmental engagement are core to clinician adoption of measurement.Feedback loops that empower rather than penalize clinicians change culture.Aggregated EMR data can reveal both practice-level and community-level insights.Primary care needs both technology and human support to improve meaningful outcomes.Takeaways for Quality Leaders Prioritize trust in any measurement initiative—clinicians must feel safe to explore their data.Focus measurement on questions clinicians care about, not what organizations assume matters.Support adoption of data tools by meeting clinicians in their workflows, not imposing them.Use stories alongside numbers to connect data back to patient care and clinician motivation.Consider how aggregate data can advocate for services and system change at community and policy levels.Recognize that measurement is not just technical; it’s cultural and relational work. Continue the Conversation Connect with Gayle Grout on LinkedIn to follow her work in supporting primary care data use. This episode is especially useful for primary care leaders, quality officers, data strategists, and anyone interested in how measurement can empower frontline clinicians. Please rate and comment to help other listeners find insights that can support improvement in daily practice. Leading Quality is a podcast for healthcare leaders committed to improving systems, culture, and outcomes. If you found this episode valuable, follow the show and share it with a colleague working to improve care. Connect with Jason Meadows on LinkedIn for more insights on healthcare quality and leadership. Help us build this podcast community from the ground up: share your top insight from this episode and where you’re seeing it in your own work. I read every response and will share what we’re learning over time in future episodes and other ways → https://docs.google.com/forms/d/e/1FAIpQLSfwJqqqJRFls9uBrAtkPki3mI7wJYWPPlA-r9qr-vvSeQCvGw/viewform?usp=header New episodes published every other Thursday at 7AM Eastern Time.

48 min

JAN 29

What Does a Chief Quality Officer Actually Do?

Episode Summary What does the Chief Quality Officer role actually entail once you get past regulatory compliance and dashboards? In this episode, Dr. Abraham Jacob draws on years as a system-level CQO to explain how quality leadership really works in practice: where to start, what to prioritize, and how culture, safety, and accountability interact over time. The conversation is grounded in lived experience, including successes, failures, and lessons learned during periods of workforce instability and change. This episode is most useful for CQOs, CMOs, senior clinical leaders, and anyone building improvement capability at scale. Core Ideas from the Conversation Patient safety is a leverage point Reducing preventable harm creates alignment, urgency, and moral clarity in a way few other priorities do.Quality assurance is necessary but insufficient Meeting regulatory standards does not, by itself, produce better outcomes or learning systems.Variation reveals system design problems Unwarranted variation signals where workflows, standards, or training have failed the system.Psychological safety enables performance, not comfort Teams improve faster when speaking up is expected, acknowledged, and protected.Turnover threatens reliability more than leaders expect Standards erode quickly when onboarding, retraining, and reinforcement don’t keep pace.The CQO role is shifting toward stewardship and value Mature organizations expect CQOs to help lead system transformation, not just oversight.Questions This Episode Raises for Leaders Where does your quality function spend most of its energy: assurance, improvement, or capability building?What forms of harm are still tolerated because they’ve become routine?How do new staff actually learn “how we do things here,” beyond policies?Where might turnover be quietly undoing prior improvement gains?When was the last time you publicly reinforced speaking up, especially when it was inconvenient?Resources & References Mentioned “What Google Learned From Its Quest to Build the Perfect Team” Charles Duhigg, New York Times Magazine On psychological safety as the strongest predictor of team performance.Institute for Healthcare Improvement (IHI) Referenced as a formative influence on improvement science and leadership development.IHI Chief Quality Officer Professional Development Program A national program supporting CQOs in buildinLeading Quality is a podcast for healthcare leaders committed to improving systems, culture, and outcomes. If you found this episode valuable, follow the show and share it with a colleague working to improve care. Connect with Jason Meadows on LinkedIn for more insights on healthcare quality and leadership. Help us build this podcast community from the ground up: share your top insight from this episode and where you’re seeing it in your own work. I read every response and will share what we’re learning over time in future episodes and other ways → https://docs.google.com/forms/d/e/1FAIpQLSfwJqqqJRFls9uBrAtkPki3mI7wJYWPPlA-r9qr-vvSeQCvGw/viewform?usp=header New episodes published every other Thursday at 7AM Eastern Time.

45 min

JAN 15

Building Improvement Into the DNA of Healthcare Systems

Why This Episode Matters Quality improvement in healthcare is still too often treated as a series of isolated projects—well-intentioned, time-limited, and disconnected from daily operations. Despite decades of progress, this approach struggles to sustain change, reach every patient, or address equity at scale. This episode explores why that gap persists and what it takes to move from episodic improvement to system-level capability. It’s especially relevant for clinical leaders, quality executives, and educators trying to build improvement that actually lasts. The Arc of the Conversation This conversation traces Dr. Brian Wong’s journey from early exposure to system-level problem solving to his current role building quality improvement capacity across institutions. Rather than focusing on tools or frameworks, the discussion centers on how improvement becomes durable—through structure, relationships, education, and operational integration. What makes this episode different is its emphasis on how systems learn, not just how projects succeed. Key Ideas Explored Why project-based QI has a ceiling: Small, local projects can teach skills, but rarely sustain impact or scale across populations.Improvement without operations doesn’t last: QI efforts fail when they sit outside day-to-day workflows and resourcing.Structure shapes outcomes: Structural change creates the conditions for new behaviors and results to emerge.Equity requires system design: Improvement efforts can unintentionally exclude patients unless equity is embedded from the start.Education as a force multiplier: Building improvement capacity through training is foundational.Takeaways for Quality Leaders If improvement feels fragmented, ask whether your system is optimized for projects rather than learning.Notice where QI work depends on individual heroics instead of organizational support.Reflect on whether equity is treated as a separate initiative or built into how improvement is done.Consider how much protected time and infrastructure exist for people to improve the system they work in.Ask whether your organization is building capability or repeatedly relearning the same lessons.Pay attention to how improvement work is aligned (or misaligned) with operational priorities.Publications & Frameworks Explicitly Mentioned These are named in the transcript and are often things listeners may want to look up: SQUIRE Guidelines (Standards for QUality Improvement Reporting Excellence)Equity-focused QI scholarship“Equity in action: a scoping review and meta-framework for embedLeading Quality is a podcast for healthcare leaders committed to improving systems, culture, and outcomes. If you found this episode valuable, follow the show and share it with a colleague working to improve care. Connect with Jason Meadows on LinkedIn for more insights on healthcare quality and leadership. Help us build this podcast community from the ground up: share your top insight from this episode and where you’re seeing it in your own work. I read every response and will share what we’re learning over time in future episodes and other ways → https://docs.google.com/forms/d/e/1FAIpQLSfwJqqqJRFls9uBrAtkPki3mI7wJYWPPlA-r9qr-vvSeQCvGw/viewform?usp=header New episodes published every other Thursday at 7AM Eastern Time.

1h 1m

JAN 1

Think Like a Scientist: Why Great Healthcare Leaders Don’t Pretend to Have the Answer

Why This Episode Matters Healthcare organizations invest enormous effort in quality improvement projects, yet many struggle to achieve durable change. Too often, improvement is treated as something that happens at the frontline, while leadership behaviors, management systems, and organizational culture remain untouched. In this episode, Dr. Lee Erickson reflects on decades of hands-on improvement work to explain why real progress depends less on tools and more on how leaders think, learn, and show up. The conversation challenges familiar assumptions about accountability, expertise, and authority and offers a grounded alternative rooted in scientific thinking, transparency, and coaching. Key Ideas Explored Why improvement fails when leaders don’t change how they manageThinking like a scientist as a leadership skill, not just a clinical oneHow daily management systems surface problems early — without blameWhy spread depends on culture, trust, and peer-to-peer learningThe limits of outcome targets without process understandingBuilding networks of change agents instead of relying on heroic leadersTakeaways for Quality Leaders If you want front-line behavior to change, leadership behavior must change firstDon’t demand answers before experiments — design systems that allow learningUse data to create transparency and motivation, not fear or punishmentBuild truly interdisciplinary teams for complex problems like flow and dischargeTreat spread as a relational process, not a rollout planReplace command-and-control with coaching and problem-solving supportInvest in developing people who can think, test, and teach othersContinue the Conversation Connect with Dr. Lee Erickson on LinkedIn or through her organization Adaptient to continue the dialogue. This episode is especially useful for executives, physician leaders, and quality professionals trying to move beyond project-based improvement toward lasting cultural change. If this conversation resonated, consider sharing it with a colleague or leaving a thoughtful review. Resources & Frameworks Referenced Lean and Toyota Production System principlesA3 problem-solving methodologyPlan–Do–Study–Act (PDSA) cyclesLean Daily Management SystemsInterdisciplinary improvement teamsHelen Bevan’s work on change agents and spread (including the School for Change Agents)Incident Command System lessons from the COVID-19 responseNew episodes published every other Thursday at 7AM Eastern Time. Leading Quality is a podcast for healthcare leaders committed to improving systems, culture, and outcomes. If you found this episode valuable, follow the show and share it with a colleague working to improve care. Connect with Jason Meadows on LinkedIn for more insights on healthcare quality and leadership. Help us build this podcast community from the ground up: share your top insight from this episode and where you’re seeing it in your own work. I read every response and will share what we’re learning over time in future episodes and other ways → https://docs.google.com/forms/d/e/1FAIpQLSfwJqqqJRFls9uBrAtkPki3mI7wJYWPPlA-r9qr-vvSeQCvGw/viewform?usp=header New episodes published every other Thursday at 7AM Eastern Time.

1h 1m

Leading Quality

Can AI Improve Clinician Well-Being?

Why So Much Healthcare Quality Work Fails to Change the System (And What You Can Do About It)

Leading with Love: Culture Change After a Healthcare Merger

Closing the Gap Between Potential and Performance in Healthcare

Building the Support System Family Doctors Have Been Missing

What Does a Chief Quality Officer Actually Do?

Building Improvement Into the DNA of Healthcare Systems

Think Like a Scientist: Why Great Healthcare Leaders Don’t Pretend to Have the Answer

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Leading Quality

Episodes

Can AI Improve Clinician Well-Being?

Why So Much Healthcare Quality Work Fails to Change the System (And What You Can Do About It)

Leading with Love: Culture Change After a Healthcare Merger

Closing the Gap Between Potential and Performance in Healthcare

Building the Support System Family Doctors Have Been Missing

What Does a Chief Quality Officer Actually Do?

Building Improvement Into the DNA of Healthcare Systems

Think Like a Scientist: Why Great Healthcare Leaders Don’t Pretend to Have the Answer

Trailer

About

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