Global Digital Health Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom.
Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, Netherlands.
J Med Internet Res. 2021 Feb 24;23(2):e19306. doi: 10.2196/19306.
Patient health information is increasingly collected through multiple modalities, including electronic health records, wearables, and connected devices. Computer-assisted history taking could provide an additional channel to collect highly relevant, comprehensive, and accurate patient information while reducing the burden on clinicians and face-to-face consultation time. Considering restrictions to consultation time and the associated negative health outcomes, patient-provided health data outside of consultation can prove invaluable in health care delivery. Over the years, research has highlighted the numerous benefits of computer-assisted history taking; however, the limitations have proved an obstacle to adoption. In this viewpoint, we review these limitations under 4 main categories (accessibility, affordability, accuracy, and acceptability) and discuss how advances in technology, computing power, and ubiquity of personal devices offer solutions to overcoming these.
患者健康信息越来越多地通过多种方式收集，包括电子健康记录、可穿戴设备和互联设备。计算机辅助问诊可以提供额外的渠道来收集高度相关、全面和准确的患者信息，同时减轻临床医生的负担并减少面对面咨询时间。考虑到咨询时间的限制以及由此产生的负面健康后果，在咨询之外由患者提供的健康数据在医疗保健服务中非常有价值。多年来，研究已经强调了计算机辅助问诊的众多好处；然而，这些限制已成为采用的障碍。在本观点文章中，我们将这些限制分为 4 个主要类别（可及性、可负担性、准确性和可接受性）进行讨论，并探讨技术、计算能力和个人设备普及性的进步如何为克服这些限制提供解决方案。
