Physicians’ and Patients’ Expectations From Digital Agents for Consultations: Interview Study Among Physicians and Patients
BackgroundPhysicians 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. ObjectiveThis study aims to examine whether digital ag...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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JMIR Publications
2024-03-01
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| Series: | JMIR Human Factors |
| Online Access: | https://humanfactors.jmir.org/2024/1/e49647 |
| _version_ | 1797257869360365568 |
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| author | Andri Färber Christiane Schwabe Philipp H Stalder Mateusz Dolata Gerhard Schwabe |
| author_facet | Andri Färber Christiane Schwabe Philipp H Stalder Mateusz Dolata Gerhard Schwabe |
| author_sort | Andri Färber |
| collection | DOAJ |
| description |
BackgroundPhysicians 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.
ObjectiveThis 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).
MethodsWe 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.
ResultsStatements 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.
ConclusionsUltimately, we derived 9 requirements for designing digital agents to support consultations, treatment adherence, and health literacy based on the literature and our qualitative findings. |
| first_indexed | 2024-04-24T22:44:29Z |
| format | Article |
| id | doaj.art-2f25666e571747e5955123859a6ec4f8 |
| institution | Directory Open Access Journal |
| issn | 2292-9495 |
| language | English |
| last_indexed | 2024-04-24T22:44:29Z |
| publishDate | 2024-03-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Human Factors |
| spelling | doaj.art-2f25666e571747e5955123859a6ec4f82024-03-18T13:15:33ZengJMIR PublicationsJMIR Human Factors2292-94952024-03-0111e4964710.2196/49647Physicians’ and Patients’ Expectations From Digital Agents for Consultations: Interview Study Among Physicians and PatientsAndri Färberhttps://orcid.org/0000-0002-9748-7817Christiane Schwabehttps://orcid.org/0000-0002-8495-4930Philipp H Stalderhttps://orcid.org/0000-0002-9910-3733Mateusz Dolatahttps://orcid.org/0000-0002-2732-4465Gerhard Schwabehttps://orcid.org/0000-0002-0453-9762 BackgroundPhysicians 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. ObjectiveThis 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). MethodsWe 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. ResultsStatements 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. ConclusionsUltimately, we derived 9 requirements for designing digital agents to support consultations, treatment adherence, and health literacy based on the literature and our qualitative findings.https://humanfactors.jmir.org/2024/1/e49647 |
| spellingShingle | Andri Färber Christiane Schwabe Philipp H Stalder Mateusz Dolata Gerhard Schwabe Physicians’ and Patients’ Expectations From Digital Agents for Consultations: Interview Study Among Physicians and Patients JMIR Human Factors |
| title | Physicians’ and Patients’ Expectations From Digital Agents for Consultations: Interview Study Among Physicians and Patients |
| title_full | Physicians’ and Patients’ Expectations From Digital Agents for Consultations: Interview Study Among Physicians and Patients |
| title_fullStr | Physicians’ and Patients’ Expectations From Digital Agents for Consultations: Interview Study Among Physicians and Patients |
| title_full_unstemmed | Physicians’ and Patients’ Expectations From Digital Agents for Consultations: Interview Study Among Physicians and Patients |
| title_short | Physicians’ and Patients’ Expectations From Digital Agents for Consultations: Interview Study Among Physicians and Patients |
| title_sort | physicians and patients expectations from digital agents for consultations interview study among physicians and patients |
| url | https://humanfactors.jmir.org/2024/1/e49647 |
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