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Supporting primary care through symptom checking artificial intelligence: a study of patient and physician attitudes in Italian general practice

BACKGROUND: Rapid advancements in artificial intelligence (AI) have led to the adoption of AI-driven symptom checkers in primary care. This study aimed to evaluate both patients' and physicians' attitudes towards these tools in Italian general practice settings, focusing on their perceived...

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Autores principales: Mahlknecht, Angelika, Engl, Adolf, Piccoliori, Giuliano, Wiedermann, Christian Josef
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476397/
https://www.ncbi.nlm.nih.gov/pubmed/37661285
http://dx.doi.org/10.1186/s12875-023-02143-0
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author Mahlknecht, Angelika
Engl, Adolf
Piccoliori, Giuliano
Wiedermann, Christian Josef
author_facet Mahlknecht, Angelika
Engl, Adolf
Piccoliori, Giuliano
Wiedermann, Christian Josef
author_sort Mahlknecht, Angelika
collection PubMed
description BACKGROUND: Rapid advancements in artificial intelligence (AI) have led to the adoption of AI-driven symptom checkers in primary care. This study aimed to evaluate both patients' and physicians' attitudes towards these tools in Italian general practice settings, focusing on their perceived utility, user satisfaction, and potential challenges. METHODS: This feasibility study involved ten general practitioners (GPs) and patients visiting GP offices. The patients used a chatbot-based symptom checker before their medical visit and conducted anamnestic screening for COVID-19 and a medical history algorithm concerning the current medical problem. The entered data were forwarded to the GP as medical history aid. After the medical visit, both physicians and patients evaluated their respective symptoms. Additionally, physicians performed a final overall evaluation of the symptom checker after the conclusion of the practice phase. RESULTS: Most patients did not use symptom checkers. Overall, 49% of patients and 27% of physicians reported being rather or very satisfied with the symptom checker. The most frequent patient-reported reasons for satisfaction were ease of use, precise and comprehensive questions, perceived time-saving potential, and encouragement of self-reflection. Every other patient would consider at-home use of the symptom checker for the first appraisal of health problems to save time, reduce unnecessary visits, and/or as an aid for the physician. Patients’ attitudes towards the symptom checker were not significantly associated with age, sex, or level of education. Most patients (75%) and physicians (84%) indicated that the symptom checker had no effect on the duration of the medical visit. Only a few participants found the use of the symptom checker to be disruptive to the medical visit or its quality. CONCLUSIONS: The findings suggest a positive reception of the symptom checker, albeit with differing focus between patients and physicians. With the potential to be integrated further into primary care, these tools require meticulous clinical guidance to maximize their benefits. TRIAL REGISTRATION: The study was not registered, as it did not include direct medical intervention on human participants. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12875-023-02143-0.
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spelling pubmed-104763972023-09-05 Supporting primary care through symptom checking artificial intelligence: a study of patient and physician attitudes in Italian general practice Mahlknecht, Angelika Engl, Adolf Piccoliori, Giuliano Wiedermann, Christian Josef BMC Prim Care Research BACKGROUND: Rapid advancements in artificial intelligence (AI) have led to the adoption of AI-driven symptom checkers in primary care. This study aimed to evaluate both patients' and physicians' attitudes towards these tools in Italian general practice settings, focusing on their perceived utility, user satisfaction, and potential challenges. METHODS: This feasibility study involved ten general practitioners (GPs) and patients visiting GP offices. The patients used a chatbot-based symptom checker before their medical visit and conducted anamnestic screening for COVID-19 and a medical history algorithm concerning the current medical problem. The entered data were forwarded to the GP as medical history aid. After the medical visit, both physicians and patients evaluated their respective symptoms. Additionally, physicians performed a final overall evaluation of the symptom checker after the conclusion of the practice phase. RESULTS: Most patients did not use symptom checkers. Overall, 49% of patients and 27% of physicians reported being rather or very satisfied with the symptom checker. The most frequent patient-reported reasons for satisfaction were ease of use, precise and comprehensive questions, perceived time-saving potential, and encouragement of self-reflection. Every other patient would consider at-home use of the symptom checker for the first appraisal of health problems to save time, reduce unnecessary visits, and/or as an aid for the physician. Patients’ attitudes towards the symptom checker were not significantly associated with age, sex, or level of education. Most patients (75%) and physicians (84%) indicated that the symptom checker had no effect on the duration of the medical visit. Only a few participants found the use of the symptom checker to be disruptive to the medical visit or its quality. CONCLUSIONS: The findings suggest a positive reception of the symptom checker, albeit with differing focus between patients and physicians. With the potential to be integrated further into primary care, these tools require meticulous clinical guidance to maximize their benefits. TRIAL REGISTRATION: The study was not registered, as it did not include direct medical intervention on human participants. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12875-023-02143-0. BioMed Central 2023-09-04 /pmc/articles/PMC10476397/ /pubmed/37661285 http://dx.doi.org/10.1186/s12875-023-02143-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Mahlknecht, Angelika
Engl, Adolf
Piccoliori, Giuliano
Wiedermann, Christian Josef
Supporting primary care through symptom checking artificial intelligence: a study of patient and physician attitudes in Italian general practice
title Supporting primary care through symptom checking artificial intelligence: a study of patient and physician attitudes in Italian general practice
title_full Supporting primary care through symptom checking artificial intelligence: a study of patient and physician attitudes in Italian general practice
title_fullStr Supporting primary care through symptom checking artificial intelligence: a study of patient and physician attitudes in Italian general practice
title_full_unstemmed Supporting primary care through symptom checking artificial intelligence: a study of patient and physician attitudes in Italian general practice
title_short Supporting primary care through symptom checking artificial intelligence: a study of patient and physician attitudes in Italian general practice
title_sort supporting primary care through symptom checking artificial intelligence: a study of patient and physician attitudes in italian general practice
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476397/
https://www.ncbi.nlm.nih.gov/pubmed/37661285
http://dx.doi.org/10.1186/s12875-023-02143-0
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