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General Practitioners' Attitudes Toward Artificial Intelligence-Enabled Systems: Interview Study.

Christoph Buck1,2, Eileen Doctor3, Jasmin Hennrich3

  • 1Department of Business & Information Systems Engineering, University of Bayreuth, Bayreuth, Germany.

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Summary
This summary is machine-generated.

General practitioners (GPs) have concerns and expectations regarding artificial intelligence (AI) in medical diagnosis. Understanding these attitudes is key for developing and implementing AI systems in primary care.

Keywords:
AIGPartificial intelligenceattitudeclinical decision support systemdiagnosisgeneral practitionerprimary carequalitative interview

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Area of Science:

  • Medical Informatics
  • General Practice
  • Artificial Intelligence

Background:

  • General practitioners (GPs) manage numerous patients with diverse conditions under time constraints and uncertainty.
  • Artificial intelligence (AI)-enabled systems offer potential time-saving solutions to enhance care quality in primary care settings.

Purpose of the Study:

  • To investigate the attitudes of general practitioners (GPs) towards AI-enabled systems for medical diagnosis.
  • To identify the key factors influencing GPs' acceptance and adoption of AI diagnostic tools.

Main Methods:

  • Qualitative study involving interviews with 18 GPs in Germany (March-May 2020).
  • Analysis of interview transcripts to identify determinants of attitudes toward AI in diagnosis.
  • Thematic analysis to categorize findings into concerns, expectations, environmental influences, individual characteristics, and minimum requirements.

Main Results:

  • Identified five main categories influencing GP attitudes: concerns, expectations, environmental influences, individual characteristics, and minimum requirements for AI systems.
  • Concerns encompass doubts and fears; expectations cover perceived benefits and limitations.
  • Environmental factors, physician traits, and system prerequisites significantly shape AI adoption perspectives.

Conclusions:

  • The study offers crucial insights into GPs' perspectives on AI-enabled diagnostic systems, essential for successful implementation in primary care.
  • Findings inform technology developers, policymakers, and healthcare institutions on tailoring AI solutions for general practice.
  • Understanding user attitudes is vital for integrating AI effectively into routine clinical workflows.