Physicians' and Patients' Expectations From Digital Agents for Consultations: Interview Study Among Physicians and Patients

JMIR Hum Factors. 2024 Mar 18:11:e49647. doi: 10.2196/49647.

Abstract

Background: Physicians are currently overwhelmed by administrative tasks and spend very little time in consultations with patients, which hampers health literacy, shared decision-making, and treatment adherence.

Objective: This study aims to examine whether digital agents constructed using fast-evolving generative artificial intelligence, such as ChatGPT, have the potential to improve consultations, adherence to treatment, and health literacy. We interviewed patients and physicians to obtain their opinions about 3 digital agents-a silent digital expert, a communicative digital expert, and a digital companion (DC).

Methods: We conducted in-depth interviews with 25 patients and 22 physicians from a purposeful sample, with the patients having a wide age range and coming from different educational backgrounds and the physicians having different medical specialties. Transcripts of the interviews were deductively coded using MAXQDA (VERBI Software GmbH) and then summarized according to code and interview before being clustered for interpretation.

Results: Statements from patients and physicians were categorized according to three consultation phases: (1) silent and communicative digital experts that are part of the consultation, (2) digital experts that hand over to a DC, and (3) DCs that support patients in the period between consultations. Overall, patients and physicians were open to these forms of digital support but had reservations about all 3 agents.

Conclusions: Ultimately, we derived 9 requirements for designing digital agents to support consultations, treatment adherence, and health literacy based on the literature and our qualitative findings.

Keywords: adherence to treatment; digital agents; eHealth; electronic medical records; health literacy; mHealth; mobile health; mobile phone.

MeSH terms

  • Artificial Intelligence*
  • Humans
  • Motivation
  • Physicians*
  • Qualitative Research
  • Referral and Consultation