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

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.