Lean Healthcare + AI: The New Operating Model for Healthcare Operational Excellence
Language: English
Published by LeanConsultingWorks, LLC, 2026
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- Title
- Lean Healthcare + AI: The New Operating Model for Healthcare Operational Excellence
- Author
- Norris, Terry
- Publisher
- LeanConsultingWorks, LLC
- Publication year
- 2026
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798986791838
Most healthcare organizations adopting AI are moving fast, but many are doing so without the stable processes, disciplined management systems, and operational foundation required to turn AI investments into measurable results.
This is a serious problem.
A 2026 Guidehouse and HIMSS survey found that 78% of health systems are already engaged in AI projects, yet only 52% feel operationally ready to deploy them at scale. According to Deloitte’s 2026 Global Health Care Outlook, more than half of health system executives had not yet measured whether their AI investments were producing results, and only a small fraction reported significant financial returns. AI technology is advancing faster than the operational discipline needed to support it, and the gap is limiting the return on those investments.
Lean Healthcare and AI are not competing strategies. Together, they form one connected operating model for healthcare operational excellence.
Lean provides the management structure, process discipline, leadership routines, and cultural foundation healthcare organizations need to improve and sustain results. AI adds speed, pattern recognition, automation, and decision support within that structure. Lean without AI may not move fast enough to keep pace with healthcare’s growing demands and workforce constraints. AI without Lean often does little more than automate existing instability, variation, and waste. AI can signal a problem, but Lean standard work defines who acts, what they do, and when.
That is the gap this book closes.
Inside, you will see what this looks like in practice:
• Kaiser Permanente Northern California paired AI-supported deterioration alerts with a structured clinical response process, an approach associated with an estimated 520 avoided deaths per year.
• Sutter Health used AI-enabled lung nodule tracking to double its rate of early-stage lung cancer diagnoses.
Across the book, you will find more than 70 real-world AI examples, nearly 400 cited sources, and more than 60 tables, illustrations, and ready-to-use tools.
Terry Norris, MBA, is a Lean Certified Master Black Belt with advanced expert-level certification in generative and agentic AI and the author of How to Make Lean Work in Your Hospital. Drawing on two decades of Lean practice and extensive senior operational leadership experience, he brings both practitioner and leadership perspectives to the challenges healthcare organizations face. He shows healthcare leaders at every level how to incorporate Lean and AI methodically and responsibly, beginning with a clear understanding of what Lean truly is and then integrating AI into that foundation.
Lean builds the discipline; AI gives it speed. If you are responsible for operational results in a healthcare organization, this book gives you a practical operating model for bringing Lean and AI together to produce measurable, sustainable results.
This is a serious problem.
A 2026 Guidehouse and HIMSS survey found that 78% of health systems are already engaged in AI projects, yet only 52% feel operationally ready to deploy them at scale. According to Deloitte’s 2026 Global Health Care Outlook, more than half of health system executives had not yet measured whether their AI investments were producing results, and only a small fraction reported significant financial returns. AI technology is advancing faster than the operational discipline needed to support it, and the gap is limiting the return on those investments.
Lean Healthcare and AI are not competing strategies. Together, they form one connected operating model for healthcare operational excellence.
Lean provides the management structure, process discipline, leadership routines, and cultural foundation healthcare organizations need to improve and sustain results. AI adds speed, pattern recognition, automation, and decision support within that structure. Lean without AI may not move fast enough to keep pace with healthcare’s growing demands and workforce constraints. AI without Lean often does little more than automate existing instability, variation, and waste. AI can signal a problem, but Lean standard work defines who acts, what they do, and when.
That is the gap this book closes.
Inside, you will see what this looks like in practice:
• Kaiser Permanente Northern California paired AI-supported deterioration alerts with a structured clinical response process, an approach associated with an estimated 520 avoided deaths per year.
• Sutter Health used AI-enabled lung nodule tracking to double its rate of early-stage lung cancer diagnoses.
Across the book, you will find more than 70 real-world AI examples, nearly 400 cited sources, and more than 60 tables, illustrations, and ready-to-use tools.
Terry Norris, MBA, is a Lean Certified Master Black Belt with advanced expert-level certification in generative and agentic AI and the author of How to Make Lean Work in Your Hospital. Drawing on two decades of Lean practice and extensive senior operational leadership experience, he brings both practitioner and leadership perspectives to the challenges healthcare organizations face. He shows healthcare leaders at every level how to incorporate Lean and AI methodically and responsibly, beginning with a clear understanding of what Lean truly is and then integrating AI into that foundation.
Lean builds the discipline; AI gives it speed. If you are responsible for operational results in a healthcare organization, this book gives you a practical operating model for bringing Lean and AI together to produce measurable, sustainable results.
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