Cargando…
Patient perspectives on data sharing regarding implementing and using artificial intelligence in general practice – a qualitative study
BACKGROUND: Due to more elderly and patients with complex illnesses, there is an increasing pressure on the healthcare system. General practice especially feels this pressure as being the first point of contact for the patients. Developments in digitalization have undergone fast progress and data-dr...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10071604/ https://www.ncbi.nlm.nih.gov/pubmed/37016412 http://dx.doi.org/10.1186/s12913-023-09324-8 |
_version_ | 1785019228292644864 |
---|---|
author | Mikkelsen, Josefine Graabaek Sørensen, Natasha Lee Merrild, Camilla Hoffmann Jensen, Martin Bach Thomsen, Janus Laust |
author_facet | Mikkelsen, Josefine Graabaek Sørensen, Natasha Lee Merrild, Camilla Hoffmann Jensen, Martin Bach Thomsen, Janus Laust |
author_sort | Mikkelsen, Josefine Graabaek |
collection | PubMed |
description | BACKGROUND: Due to more elderly and patients with complex illnesses, there is an increasing pressure on the healthcare system. General practice especially feels this pressure as being the first point of contact for the patients. Developments in digitalization have undergone fast progress and data-driven artificial intelligence (AI) has shown great potential for use in general practice. To develop AI as a support tool for general practitioners (GPs), access to patients’ health data is needed, but patients have concerns regarding data sharing. Furthermore, studies show that trust is important regarding the patient-GP relationship, data sharing, and AI. The aim of this paper is to uncover patient perspectives on trust regarding the patient-GP relationship, data sharing and AI in general practice. METHOD: This study investigated 10 patients’ perspectives through qualitative interviews and written vignettes were chosen to elicit the patients (interviewees) perspectives on topics that they were not familiar with prior to the interviews. The study specifically investigated perspectives on 1) The patient-GP relationship, 2) data sharing regarding developing AI for general practice, and 3) implementation and use of AI in general practice using thematic analysis. The study took place in the North Denmark Region and the interviewees included had to be registered in general practice and be above 18 years in age. We included four men between 25 to 74 years in age and six women between 27 to 46 years in age. RESULTS: The interviewees expressed a high level of trust towards their GP and were willing to share their health data with their GP. The interviewees believed that AI could be a great help to GPs if used as a support tool in general practice. However, it was important for the interviewees that the GP would still be the primary decision maker. CONCLUSION: Patients may be willing to share health data to help implement and use AI in general practice. If AI is implemented in a way that preserves the patient-GP relationship and used as a support tool for the GP, our results indicate that patients may be positive towards the use of AI in general practice. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-09324-8. |
format | Online Article Text |
id | pubmed-10071604 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100716042023-04-05 Patient perspectives on data sharing regarding implementing and using artificial intelligence in general practice – a qualitative study Mikkelsen, Josefine Graabaek Sørensen, Natasha Lee Merrild, Camilla Hoffmann Jensen, Martin Bach Thomsen, Janus Laust BMC Health Serv Res Research BACKGROUND: Due to more elderly and patients with complex illnesses, there is an increasing pressure on the healthcare system. General practice especially feels this pressure as being the first point of contact for the patients. Developments in digitalization have undergone fast progress and data-driven artificial intelligence (AI) has shown great potential for use in general practice. To develop AI as a support tool for general practitioners (GPs), access to patients’ health data is needed, but patients have concerns regarding data sharing. Furthermore, studies show that trust is important regarding the patient-GP relationship, data sharing, and AI. The aim of this paper is to uncover patient perspectives on trust regarding the patient-GP relationship, data sharing and AI in general practice. METHOD: This study investigated 10 patients’ perspectives through qualitative interviews and written vignettes were chosen to elicit the patients (interviewees) perspectives on topics that they were not familiar with prior to the interviews. The study specifically investigated perspectives on 1) The patient-GP relationship, 2) data sharing regarding developing AI for general practice, and 3) implementation and use of AI in general practice using thematic analysis. The study took place in the North Denmark Region and the interviewees included had to be registered in general practice and be above 18 years in age. We included four men between 25 to 74 years in age and six women between 27 to 46 years in age. RESULTS: The interviewees expressed a high level of trust towards their GP and were willing to share their health data with their GP. The interviewees believed that AI could be a great help to GPs if used as a support tool in general practice. However, it was important for the interviewees that the GP would still be the primary decision maker. CONCLUSION: Patients may be willing to share health data to help implement and use AI in general practice. If AI is implemented in a way that preserves the patient-GP relationship and used as a support tool for the GP, our results indicate that patients may be positive towards the use of AI in general practice. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-09324-8. BioMed Central 2023-04-04 /pmc/articles/PMC10071604/ /pubmed/37016412 http://dx.doi.org/10.1186/s12913-023-09324-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Mikkelsen, Josefine Graabaek Sørensen, Natasha Lee Merrild, Camilla Hoffmann Jensen, Martin Bach Thomsen, Janus Laust Patient perspectives on data sharing regarding implementing and using artificial intelligence in general practice – a qualitative study |
title | Patient perspectives on data sharing regarding implementing and using artificial intelligence in general practice – a qualitative study |
title_full | Patient perspectives on data sharing regarding implementing and using artificial intelligence in general practice – a qualitative study |
title_fullStr | Patient perspectives on data sharing regarding implementing and using artificial intelligence in general practice – a qualitative study |
title_full_unstemmed | Patient perspectives on data sharing regarding implementing and using artificial intelligence in general practice – a qualitative study |
title_short | Patient perspectives on data sharing regarding implementing and using artificial intelligence in general practice – a qualitative study |
title_sort | patient perspectives on data sharing regarding implementing and using artificial intelligence in general practice – a qualitative study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10071604/ https://www.ncbi.nlm.nih.gov/pubmed/37016412 http://dx.doi.org/10.1186/s12913-023-09324-8 |
work_keys_str_mv | AT mikkelsenjosefinegraabaek patientperspectivesondatasharingregardingimplementingandusingartificialintelligenceingeneralpracticeaqualitativestudy AT sørensennatashalee patientperspectivesondatasharingregardingimplementingandusingartificialintelligenceingeneralpracticeaqualitativestudy AT merrildcamillahoffmann patientperspectivesondatasharingregardingimplementingandusingartificialintelligenceingeneralpracticeaqualitativestudy AT jensenmartinbach patientperspectivesondatasharingregardingimplementingandusingartificialintelligenceingeneralpracticeaqualitativestudy AT thomsenjanuslaust patientperspectivesondatasharingregardingimplementingandusingartificialintelligenceingeneralpracticeaqualitativestudy |