Rich G Kenny, MMCi, RN’s Post

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Chief Clinical Officer || AI Wayfinder || Ethical Futurist || Ex-PwC & Retired Flight Nurse 🚁

This! 💯 “Nurses are among the most important constituents to guide AI-driven workflow change and shape Responsible AI principles. Period.” -Tom Lawry from Microsoft Success = having #nurses at the table #nursesonlinkedin

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Top 20 Voices in AI to Follow l Global AI Transformation Advisor l Best-Selling Author of Hacking Healthcare l Keynote Speaker l Future of Work l Responsible AI champion l Microsoft Alumni

On Monday nurses from across California picketed outside Kaiser Permanente's San Francisco Medical Center to protest the use of AI. In the past year I’ve presented my views on AI and its impact on nursing to America’s largest nursing association, one of the largest unions representing nurses, leadership from top provider organizations and at a number of nursing conferences. Regardless of the group my message is always the same: ·      AI is one of the greatest issues impacting the future of work for nurses. (let’s figure this out together). ·      Done right AI is not about technology. It’s about empowerment. The rub here is defining “done right.”  This is at the heart of why nurses hit the picket line in California and why I have predicted for some time that AI would become a bargaining issue. ·      Nurses are among the most important constituents to guide AI-driven workflow change and shape Responsible AI principles. Period. If you are a nurse or health leader reading this here’s the question: Are nurses actively involved in your organization’s efforts to plan/deploy/measure the value of AI applied in care settings? I’ve had the privilege of working with some great health and medical organizations around the world in planning and implementing AI. A key difference between organizations that use AI to create value-at-scale versus those that spin up a few pilot use cases comes down to this: Repeatable value comes by involving those on the front lines who drive any process to be improved with AI. These are people who know what isn’t working and are almost always the smartest to know what will. Comments, different points of view encouraged.   I’ve added/modified a few slides to amplify my message. T. #nursing #futureofwork #nursinginformatics Kathleen McGrow, DNP, MS, RN, PMP, FHIMSS, FAAN Valerie Serwicki MSHI, BSN, RN Olga Kagan, PhD, RN, CIMI, FHIMSS Sophia Brown PhD, DBA, FACHE, CPHIMS, PMP Robbie Freeman Gil Bashe Evan Kirstel B2B TechFluencer Irma Rastegayeva✨Influence Through Storytelling™️ Rachel Woods

Dr Peter Scriven FRCGP

Clinician | Longevity Medicine | Proteomics | AI & Data |

6mo

Rich G Kenny, MMCi, RN - spot on - the key across health and social care is to get the clinicians involved early doors with anything workflow (in the broadest sense) and clinicians and patients in anything monitoring/AI follow up. Effective clinical practice is and hopefully always will be human centric. AI must augment not replace!

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