Workspace 06 · AI-enabled MedTech, SaMD & Digital Health

AI-enabled devices need evidence that follows the product after release.

This workspace maps AI-enabled medical devices, SaMD, digital health, predetermined change control, cybersecurity, usability, clinical evaluation, and post-market monitoring.

Focus: intended use · device claim · surveillanceRisk: uncontrolled changeBridge: QMS · evidence · post-market record
MedTech / SaMD traceClaimQMSModelPCCPUserSurveilAIsystemsource to workflow to evidence to review
AI in Healthcare/AI-enabled MedTech, SaMD & Digital Health
/ workspace

AI-enabled MedTech, SaMD & Digital Health workspace.

9 chapter surfaces

This workspace maps AI-enabled medical devices, SaMD, digital health, predetermined change control, cybersecurity, usability, clinical evaluation, and post-market monitoring.

/ map

Source-to-use operating map.

how this workspace reads AI
Operating map
InventoryList the AI systems, actors, records, and workflows in scope.
RiskClassify impact, uncertainty, affected users, and plausible harms.
EvidenceConnect claims to validation, source data, limitations, and monitoring.
ReviewKeep owners, decisions, revisions, and open questions visible.
Chapter 01

Overview

The overview defines the boundary of AI-enabled MedTech, SaMD & Digital Health: what belongs in scope, what remains outside the claim, and what evidence has to travel with any public or operational interpretation.

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Chapter 02

Use Cases

Use cases in MedTech / SaMD are sorted by the decision they affect and the evidence they require, not by the attractiveness of the tool demonstration.

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Chapter 03

Data Substrate

The data substrate for MedTech / SaMD determines what the model can know, what it misses, what it amplifies, and what remains reviewable later.

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Chapter 04

Model Lifecycle

The lifecycle view treats AI in MedTech / SaMD as a managed capability: design, validation, deployment, monitoring, update, rollback, and retirement.

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Chapter 05

Validation & Evidence

Validation evidence for MedTech / SaMD connects technical performance to the real workflow, population, user, and decision context.

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Chapter 06

Governance & Risk

Governance and risk for MedTech / SaMD define who can approve use, what harms are plausible, which controls apply, and when use is paused or escalated.

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Chapter 07

Operations & Adoption

Operations and adoption in MedTech / SaMD focus on whether teams can use the system consistently, challenge it safely, and learn from real use.

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Chapter 08

Market & Actors

The market and actor layer for MedTech / SaMD maps who builds, sells, deploys, uses, monitors, audits, and regulates the capability.

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Chapter 09

Updates & Assets

The updates and assets layer keeps MedTech / SaMD alive through weekly signals, source maps, checklists, explainers, and revision notes.

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/ sources

Source anchors and claim boundary.

official first

These anchors support the source layer for this workspace. iFeed interpretation stays separate from source facts and does not replace legal, regulatory, clinical, or product-specific advice.