Clinical Requirements for Transparent Machine Learning Model Information: A Mixed Methods Study Protocol

Limited transparency of machine learning models poses risks their effective use. Through semi-structured interviews with physicians, this mixed methods study will qualitatively identify requirements for transparent machine learning model information for a diagnostic decision support system in the emergency department. Then, a prototype will be developed and tested, aiming to align clinical needs with regulatory requirements and improve the responsible use of artificial intelligence in healthcare.

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Publication Details

Journal
Studies in health technology and informatics
Published
2025-05-15
DOI
https://doi.org/10.3233/shti250353
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Clinical Requirements for Transparent Machine Learning Model Information: A Mixed Methods Study Protocol

Lina Mosch, Felix Balzer, Louis Agha-Mir-Salim, Nicolas Frey
Studies in health technology and informatics
Artificial Intelligence in Healthcare and Education
article

Clinical Requirements for Transparent Machine Learning Model Information: A Mixed Methods Study Protocol

Lina Mosch, Felix Balzer, Louis Agha-Mir-Salim, Nicolas Frey
article en

Abstract

Limited transparency of machine learning models poses risks their effective use. Through semi-structured interviews with physicians, this mixed methods study will qualitatively identify requirements for transparent machine learning model information for a diagnostic decision support system in the emergency department. Then, a prototype will be developed and tested, aiming to align clinical needs with regulatory requirements and improve the responsible use of artificial intelligence in healthcare.

Studies in health technology and informaticsVol. 327
Humboldt-Universität zu Berlin (DE), Freie Universität Berlin (DE), Charité - Universitätsmedizin Berlin (DE)
Peace, Justice and strong institutions
Openalex Percentile: Top 84%
Artificial Intelligence in Healthcare and Education
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