Applying an Agile Science Roadmap to Integrate and Evaluate Ethical Frameworks Throughout the Lifecycle and Use of Artificial Intelligence Tools in the Intensive Care Unit - 15/05/25

Doi : 10.1016/j.cnc.2025.02.004

Heidi Lindroth, PhD, RN ^a,^b,^c,^⁎ , Juhi Sahajwani, MBBS ^d, Mark Hudson, BSc ^e, Laura Heier, RN, BSN, MS ^f,^g, Andrew A. Gonzalez, MD, JD, MPH ^h,ⁱ, Anirban Bhattacharyya, MD ^d, Zhi Zheng, PhD ^j, Malaz Boustani, MD, MPH ^b,^c, Vitaly Herasevich, MD ^k, Michelle McGowan, PhD ^l, Barbara Barry, PhD ^m
^a Division of Nursing Research, Department of Nursing, Mayo Clinic, Rochester, MN, USA
^b Center for Aging Research, Regenstrief Institute, School of Medicine, Indiana University, Indianapolis, IN, USA
^c Center for Health Innovation and Implementation Science, School of Medicine, Indiana University, Indianapolis, IN, USA
^d Department of Critical Care Medicine, Mayo Clinic, Jacksonville, FL, USA
^e School of Psychology and Counselling, The Open University, Milton Keynes, UK
^f Department of Graduate Nursing, Viterbo University, La Crosse, WI, USA
^g Department of Neurosurgery, Mayo Clinic, Rochester, MN, USA
^h Center for Health Services Research, Regenstrief Institute, School of Medicine, Indiana University, Indianapolis, IN, USA
ⁱ Surgical Outcomes and Quality Improvement Center, Department of Surgery, School of Medicine, Indiana University, Indianapolis, IN, USA
^j Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA
^k Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN, USA
^l Biomedical Ethics, Departments of Quantitative Health Sciences and Artificial Intelligence and Informatics, Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN, USA
^m Kern Center Mayo Clinic, Rochester, MN, USA

^∗Corresponding author. Mayo Clinic, c/o Division of Nursing Research, 200 First Street SW, Rochester, MN 55905.Mayo Clinicc/o Division of Nursing Research200 First Street SWRochesterMN55905

Résumé

This article summarizes existing ethical frameworks for healthcare artificial intelligence (AI) and ambient sensing technology, such as computer vision, and examines their application to improve patient outcomes in the intensive care unit (ICU). Integrating ethical considerations such as privacy, fairness, and autonomy into the lifecycle of an AI tool is necessary to fully harvest AI’s potential to deliver safe, high-quality, personalized, and low-cost healthcare services that provide positive experiences for patients, families, and clinicians while improving health outcomes. Drawing from agile science, the article proposes a practical roadmap for clinician and researcher use to identify, integrate, and monitor ethical considerations throughout the lifecycle of an AI tool with the intention to improve patient care. A use case illustrates the application of the agile science-informed roadmap that details the development of a passive digital marker for delirium severity.

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Keywords : Agile science, Ethical frameworks for health care AI, Artificial intelligence, Delirium severity, ICU, Passive digital marker, Computer vision, AI tools

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Vol 37 - N° 2

P. 347-363 - juin 2025 Retour au numéro

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Applying an Agile Science Roadmap to Integrate and Evaluate Ethical Frameworks Throughout the Lifecycle and Use of Artificial Intelligence Tools in the Intensive Care Unit - 15/05/25

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