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Elsevier
論文を投稿する
Press release

Elsevier Unveils Rigorous Evaluation Framework to Mitigate Risk in Generative AI Clinical Decision Support Tools 

2025年6月4日

Clinician-centered framework will be featured in upcoming issue of the Open Access Journal of the American Medical Informatics Association (JAMIA)

Initial evaluations of ClinicalKey AI show high accuracy and usefulness in responses amongst clinicians

Elsevier, a global leader in medical information and data analytics, unveiled a groundbreaking evaluation framework for assessing the performance and safety of generative AI-powered clinical reference tools. This innovative approach has been developed for all Elsevier Health generative AI solutions, including ClinicalKey AI, Elsevier's advanced clinical decision support platform, and sets a new standard for responsible AI integration in healthcare. It will be featured in a future issue of the Open Access Journal of the American Medical Informatics Association (JAMIA).  

The framework, designed with input from clinical subject matter experts across multiple specialties, evaluates AI-generated responses along five critical dimensions: query comprehension, response helpfulness, correctness, completeness, and potential for clinical harm. It serves as a comprehensive assessment to ensure that AI-powered tools not only provide accurate and relevant information but also align with the practical and current needs of healthcare professionals at the point of care. 

Omry Bigger, President of Clinical Solutions at Elsevier: “This evaluation framework not only supports innovation and advancements to improve patient care but adds an extra layer of review and assessment to ensure physicians are armed with the most accurate information possible. It’s a critical step in the implementation of responsible AI for healthcare providers and patients.”  

In a recent evaluation study of ClinicalKey AI, Elsevier worked with a panel of 41-board certified physicians and clinical pharmacists to rigorously test responses generated by the tool for a diverse set of clinical queries. That panel evaluated 426 query-response pairs, and results demonstrated impressive performance, with 94.4% of responses rated as helpful, 95.5% assessed as completely correct, with just 0.47% flagged for potential improvements. 

Leah Livingston, Director of Generative AI Evaluation for Health Markets at Elsevier, said: “These results reflect not just strong performance, but the real value of bringing clinicians into the evaluation process. By designing an evaluation framework around what matters most to physicians—accuracy, relevance, and clinical safety —we’re helping ensure that AI tools truly add value to care delivery. This approach supports clinicians in quickly accessing the right information, ultimately reducing cognitive burden.” 

Elsevier is continuing to implement AI responsibly in its portfolio of AI solutions and is also involved in industry-wide initiatives. As a proud partner of the Coalition for Health AI, the company is actively contributing to industry-wide standards for responsible AI deployment in healthcare settings. 

The release of the evaluation framework represents a significant step forward in the responsible integration of AI technologies in healthcare, paving the way for more efficient, accurate, and patient-centered clinical decision-making.  

To learn more details about the evaluation framework, a white paper is available for download: Evaluation framework for generative AI tools used for clinical decision support

エルゼビアについて

エルゼビアは、先端情報と意思決定を支援しています。1世紀以上にわたり、人類の進歩のため先端科学とヘルスケアの進歩に貢献してきました。私たちは、170か国にわたるアカデミアや企業の研究コミュニティ、医師、看護師、未来の医療従事者、教育者の皆さまの重要な活動をサポートしています。これは、信頼できるエビデンスに基づく科学・医療コンテンツと高度なAI技術を組み合わせた革新的なソリューションにより知見の集積や重要な意思決定を支援することで実現しています。また、私たちは、これらの価値を製品や企業文化に組み込み、コミュニティとの協働を通じて、インクルージョンと持続可能性を推進しています。エルゼビア財団は、世界中の研究と医療のパートナーシップを支援しています。

エルゼビアは、専門家およびビジネス向けの情報分析および意思決定ツールのグローバルプロバイダーであるRELX Groupの一事業を担っています。詳細につきましては、www.elsevier.comソーシャルメディア@Elsevier Connectをご覧ください。

連絡先

Chris West

CW

Chris West

Senior Communications Manager, Health Markets

Elsevier

+1 703 967 3990

E-mail Chris West