---
title: Clinical AI Reaches Patients Faster Than Anyone Tracks Its Mistakes
description: ECRI, a national patient-safety nonprofit, is building the first healthcare-specific system to log the errors AI tools make once they are inside real patient...
author: Darie Nani (Editor-in-Chief)
date: 2026-08-26T17:30:00.000Z
updated: 2026-08-26T19:20:42.613Z
canonical: https://www.sovereignmagazine.com/article/ecri-ai-errors-patient-care-reporting-network
image: https://cdn.nanimediahouse.com/ecri-ai-patient-safety-206482.webp
categories: science & tech
content_type: News
region: United States
publication: Rich Health Magazine
access: members
schema_type: Article
---

AI now touches an enormous share of American medicine, and until this week almost no one was systematically counting when it got a patient's care wrong. ECRI, a national patient-safety nonprofit based in Fort Washington, Pennsylvania, said on August 25 that it is expanding its Problem Reporting Network to specifically capture and investigate errors, malfunctions and near misses involving AI tools and AI-enabled medical devices used in patient care.

The organization is asking healthcare providers, health systems and clinicians across the country to report any incident where an AI-enabled tool may have contributed to an error or introduced risk into how care is delivered. ECRI says it will triage and investigate each report and share its findings back with whoever submitted it. The network covers the range of places AI has reached in clinical work, from diagnostic imaging to clinical decision support to patient-facing chatbots.

ECRI says there is no centralized, healthcare-specific mechanism tracking how often clinical AI tools produce incorrect or misleading outputs, or how often those wrong outputs actually reach a patient. Surveys already show that a large majority of US hospitals and health systems use clinical AI in at least one workflow, so the software is making calls in live care while no one keeps a systematic record of when it fails.

---

*This article is only available to registered readers. Visit the article URL to read the full piece.*
