This standard provides guidelines for the design, development, deployment, evaluation, verification and validation of Artificial Intelligence (AI)-based coaching systems (AI-coach) using generative AI and supporting technologies to guide healthcare stakeholders with integrating the TIPPSS principles (Trust, Identity, Privacy, Protection, Safety and Security) while making and using Internet of Things (IoT)-enabled medical apps and systems. The standard outlines how an AI-coach accumulates knowledge including technical aspects of healthcare products, operational environments and real-life experiences, challenges and risks faced by different stakeholders, and regulatory requirements. To accumulating such knowledge the standard describes a System-of-Systems approach at the intersection of four domain areas: Medical/Healthcare, Coaching/Education, Regulations/Policies, and Technologies, in addition to TIPPSS and other relevant standards. The standard specifies how an AI-coach integrates multiple interdisciplinary systems around the TIPPSS principles. The standard details the selection of processes and controls within interrelated systems. This standard complements the IEEE/UL 2933-2024 standard for Clinical IoT data and device interoperability with TIPPSS.
- Standard Committee
- EMB/Stds Com - Standards Committee
- Status
- Active PAR
- PAR Approval
- 2025-09-10
Working Group Details
- Society
- IEEE Engineering in Medicine and Biology Society
- Standard Committee
- EMB/Stds Com - Standards Committee
- Working Group
-
AI-Coach-TIPPSS - AI-Based Coaching for Healthcare with TIPPSS
- IEEE Program Manager
- Christian Orlando
Contact Christian Orlando - Working Group Chair
- Ali Zalzala
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