インシデント 123の引用情報

レスポンスしました
Description: Epic System's sepsis prediction algorithms was shown by investigators at the University of Michigan Hospital to have high rates of false positives and false negatives, allegedly delivering inaccurate and irrelevant information on patients, contrasting sharply with their published claims.
推定: Epic Systemsが開発し、University of Michigan Hospitalが提供したAIシステムで、sepsis patientsに影響を与えた

インシデントのステータス

インシデントID
123
レポート数
5
インシデント発生日
2021-08-01
エディタ
Sean McGregor, Khoa Lam
Epic's widely used sepsis prediction model falls short among Michigan Medicine patients
fiercehealthcare.com · 2021

Among roughly 38,500 hospitalizations, researchers said a proprietary sepsis prediction algorithm developed by Epic missed two-thirds of sepsis patients and generated numerous false alerts. While the EHR vendor attributed the weak performan…

An Epic Failure: Overstated AI Claims in Medicine
mindmatters.ai · 2021

Epic Systems, America’s largest electronic health records company, maintains medical information for 180 million U.S. patients (56% of the population). Using the slogan, “with the patient at the heart,” it has a portfolio of 20 proprietary …

Artificial Intelligence Can Improve Health Care—but Not Without Human Oversight
pewtrusts.org · 2021

Every year 1.7 million adults in the United States develop sepsis, a severe immune response to infection that kills about 270,000 people. Detecting the disease early can mean the difference between life and death.

One of the largest U.S. de…

Algorithms Are Making Decisions About Health Care, Which May Only Worsen Medical Racism
aclu.org · 2022

Artificial intelligence (AI) and algorithmic decision-making systems — algorithms that analyze massive amounts of data and make predictions about the future — are increasingly affecting Americans’ daily lives. People are compelled to includ…

Epic overhauls sepsis algorithm
beckershospitalreview.com · 2022
Naomi Diazによるインシデント後のレスポンス

Epic has made changes to its sepsis prediction model in a bid to improve its accuracy and make its alerts more meaningful to clinicians.

An Epic spokesperson told Becker's in an emailed statement that it began the development of its new sep…

バリアント

「バリアント」は既存のAIインシデントと同じ原因要素を共有し、同様な被害を引き起こし、同じ知的システムを含んだインシデントです。バリアントは完全に独立したインシデントとしてインデックスするのではなく、データベースに最初に投稿された同様なインシデントの元にインシデントのバリエーションとして一覧します。インシデントデータベースの他の投稿タイプとは違い、バリアントではインシデントデータベース以外の根拠のレポートは要求されません。詳細についてはこの研究論文を参照してください

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