通过症状检查人工智能支持初级保健：意大利普通实践中患者和医生态度的研究。

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

机构信息

Institute of General Practice and Public Health, College of Health Care Professions (Claudiana), Lorenz Böhler Street 13, 39100, Bolzano, Italy.

Department of Public Health, Medical Decision Making and HTA, University of Health Sciences, Medical Informatics and Technology, Eduard-Wallnöfer Place 1, 6060, Hall, Austria.

出版信息

BMC Prim Care. 2023 Sep 4;24(1):174. doi: 10.1186/s12875-023-02143-0.

DOI:10.1186/s12875-023-02143-0

PMID:37661285

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10476397/

Abstract

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.

摘要

背景

人工智能（AI）的快速发展导致 AI 驱动的症状检查器在初级保健中得到采用。本研究旨在评估意大利普通实践环境中患者和医生对这些工具的态度，重点关注其感知效用、用户满意度和潜在挑战。

方法

这项可行性研究涉及 10 名全科医生（GP）和在 GP 办公室就诊的患者。患者在就诊前使用基于聊天机器人的症状检查器，对 COVID-19 进行病史筛查，并对当前医疗问题进行病史算法。输入的数据作为病史辅助转发给 GP。就诊后，医生和患者分别评估各自的症状。此外，医生在实践阶段结束后对症状检查器进行最终全面评估。

结果

大多数患者没有使用症状检查器。总体而言，49%的患者和 27%的医生表示对症状检查器相当满意或非常满意。患者最常报告的满意原因是使用方便、问题准确全面、潜在的节省时间、鼓励自我反思。每一个其他患者都将考虑在家中使用症状检查器来首次评估健康问题，以节省时间、减少不必要的就诊次数、/或作为医生的辅助。患者对症状检查器的态度与年龄、性别或教育程度无关。大多数患者（75%）和医生（84%）表示症状检查器对就诊时间没有影响。只有少数参与者认为使用症状检查器会干扰就诊或就诊质量。