Accepted for/Published in: JMIR Research Protocols
Date Submitted: Mar 11, 2024
Date Accepted: Jul 2, 2024
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Challenges and Facilitation Approaches for the Participatory Design of AI-based clinical decision support systems - Protocol for a scoping review
ABSTRACT
Background:
In the last few years, there has been an increasing interest in the development of artificial intelligence (AI)-based clinical decision support systems. However, there are barriers to the successful implementation of such systems in practice, including the lack of acceptance of these systems. Participatory approaches aim to involve future users to design applications such as clinical decision support systems (CDSS) more acceptable, feasible and fundamentally more relevant for practice. The development of technologies based on artificial intelligence, however, challenges the process of user involvement and related methods.
Objective:
The aim of this review is to summarize and present the main approaches, methods, practices and specific challenges for participatory research and development of AI-based decision support systems involving clinicians.
Methods:
This scoping review will follow the Joanna Briggs Institute (JBI) approach to scoping reviews. The search for eligible studies was conducted in the databases MEDLINE via PubMed; ACM Digital Library; Cumulative Index to Nursing and Allied Health (CINAHL); and PsycInfo. The following search filters, adapted to each database, were used: Period 01.01.2012-31.10.2023, English and German studies only, abstract available. The scoping review will include studies that involve the development, piloting, implementation and evaluation of AI-based clinical decision support systems (CDSS) (hybrid and data-driven AI approaches). Clinical staff must be involved in a participatory manner. Data retrieval will be accompanied by a manual gray literature search. Potential publications will then be exported into a reference management software, and duplicates will be removed. Afterwards, the obtained set of papers will be transferred into a systematic review management tool. All publications will be screened, extracted, and analyzed: title and abstract screening will be carried out by 2 independent reviewers. Disagreements will be resolved by involving a third reviewer. Data will be extracted using a data extraction tool prepared for the study.
Results:
This scoping review protocol has been registered on March 11th, 2023 at the Open Science Framework. The full-text screening had already started at that time. Analysis and manuscript preparation are planned from March 2024 to June 2024 and the manuscript should be submitted no later than October 2024 at the latest.
Conclusions:
This review will describe the current state of knowledge on participatory development of AI-based decision support systems. The aim is to identify knowledge gaps and provide research impetus. It also aims to provide relevant information for policy makers and practitioners.
Citation
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Copyright
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