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Accepted for/Published in: JMIR Medical Informatics

Date Submitted: Jul 4, 2024
Open Peer Review Period: Jul 18, 2024 - Sep 12, 2024
Date Accepted: Feb 6, 2025
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

The Perceptions of Potential Prerequisites for Artificial Intelligence in Danish General Practice: Vignette-Based Interview Study Among General Practitioners

Jørgensen NL, Merrild CH, Jensen MB, Moeslund TB, Kidholm K, Thomsen JL

The Perceptions of Potential Prerequisites for Artificial Intelligence in Danish General Practice: Vignette-Based Interview Study Among General Practitioners

JMIR Med Inform 2025;13:e63895

DOI: 10.2196/63895

PMID: 40072916

PMCID: 11921986

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

The prerequisites for artificial intelligence in Danish general practice: A qualitative vignette study among general practitioners

  • Natasha Lee Jørgensen; 
  • Camilla Hoffmann Merrild; 
  • Martin Bach Jensen; 
  • Thomas B. Moeslund; 
  • Kristian Kidholm; 
  • Janus Laust Thomsen

ABSTRACT

Background:

Artificial intelligence has been deemed revolutionary in medicine, but very few artificial intelligence solutions have been observed in Danish general practice. General practice in Denmark has an excellent system of digitization to develop and utilize artificial intelligence. However, a lack of involvement of general practitioners in the development of artificial intelligence exists. The perspectives of general practitioners as end users are essential to facilitate the development and implementation of artificial intelligence in general practice.

Objective:

This study aimed to characterize the prerequisites that must be met to enable the development and implementation of artificial intelligence in Danish general practice.

Methods:

This study applied semi-structured interviews and vignettes to gain perspectives on the potential for developing and implementing artificial intelligence among general practitioners. Twelve general practitioners were interviewed, resulting in an exhaustive dataset. The interviews were transcribed, and thematic analysis was conducted to identify the dominant themes throughout the data.

Results:

Four main themes were identified in the data analysis as prerequisites that general practitioners found important to consider when developing and implementing AI in general practice: ‘AI must begin with the low-hanging fruit’, ‘AI must be meaningful in the GP’s work’, ‘The GP-patient relationship must be maintained despite AI’, and ‘AI must be a free, active, and integrated option in the EHR’.

Conclusions:

The four themes contributing to defining prerequisites for artificial intelligence can potentially lead the first steps of future development and implementation of artificial intelligence in Danish general practice. The participating general practitioners were positive towards developing and implementing artificial intelligence in their clinics, and it would be valuable to consider the defined prerequisites when considering new artificial intelligence tools for general practice.


 Citation

Please cite as:

Jørgensen NL, Merrild CH, Jensen MB, Moeslund TB, Kidholm K, Thomsen JL

The Perceptions of Potential Prerequisites for Artificial Intelligence in Danish General Practice: Vignette-Based Interview Study Among General Practitioners

JMIR Med Inform 2025;13:e63895

DOI: 10.2196/63895

PMID: 40072916

PMCID: 11921986

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