Length of Stay False Diagnosis Cut Off Insurer's Payment for Treatment of Elderly Woman

June 3, 2019

An elderly Wisconsin woman was algorithmically determined to have a rapid recovery, an output which the insurer based on to cut off payment for her treatment. However, medical notes showed that she was still experiencing debilitating pain.

This incident underscores the importance of responsible AI governance in healthcare settings. It is crucial to prevent such harm and establish guardrails for AI to ensure safe and secure practices. Join us in shaping the future of AI with HISPI Project Cerebellum by contributing to our AI incident database.

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Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MEASURE 2.6 — similarity 0.694, rank 1. TAIM detail and related incidents →
MAP 3.2 — similarity 0.673, rank 2. TAIM detail and related incidents →
MANAGE 4.1 — similarity 0.666, rank 3. TAIM detail and related incidents →

Alleged deployer: security-health-plan, navihealth
Alleged developer: navihealth
Alleged harmed parties: frances-walter, elderly-patients

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/501

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

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