Using AI-based virtual triage to improve acuity-level alignment of patient care seeking in an ambulatory care setting

George A. Gellert, Lawrence Garber, Aleksandra Kabat-Karabon, Kacper Kuszczyński, Tim Price, Eric J. McLean, Katarzyna Trybucka, Matthew W. Nichols, Jennifer M. Pike, Michael J. Powers, Piotr M. Orzechowski
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引用次数: 1

Abstract

Objective: Evaluate how an AI-based virtual triage (VT) and care referral technology impacted live triage and care referral in an outpatient/ambulatory care network.Methods: Analysis of a dataset of 8,088 outpatient online encounters assessed how VT influenced patient care seeking action/behavior.Results: There were modest decreases in patients seeking outpatient care, including in-person or video face-to-face encounters (-12.5%), or engaging self-care (-8.2%). Patient engagement of virtual care through e-visits and telephone calls increased moderately (19.1%). One-third (35.0%) of patients changed care seeking likely as a result of VT care referral. Another third (32.3%) reported a pre-VT care intent aligned with the VT care recommendation, and a third (32.7%) did not change care sought when their pre-VT intent was not aligned. A total of 12.0% de-escalated acuity of care seeking as recommended by VT, most frequently from outpatient care to virtual care (6.5%) or self-care (4.3%). When VT recommended care de-escalation, 53.5% de-escalated care. In 21.2% care acuity was escalated, of whom 10.6% pursued virtual care and 7.5% pursued outpatient care instead of self-care, while 3.1% whose care intent was virtual care instead pursued outpatient care. When VT recommended care escalation, 96.2% escalated care. Overall, 26.7% of patients required no further action or involvement of clinical staff.Conclusions: Virtual triage impacted patient care seeking action/behavior among almost half of patients whose pre-VT intent differed from the VT recommendation, with patients nearly twice as likely to follow recommendations to seek higher rather than lower levels of care acuity, while modestly reducing the number of face-to-face visits and increasing virtual care. Overall, a quarter of patients using VT were able to perform self-care without interacting with the healthcare team. Virtual triage has the potential to efficiently and effectively redirect patients to more appropriate levels of care.
使用基于人工智能的虚拟分诊技术,改善门诊护理环境中患者护理需求的协调性
目的评估基于人工智能的虚拟分诊(VT)和护理转诊技术如何影响门诊/非住院护理网络中的实时分诊和护理转诊:对 8088 次门诊病人在线就诊的数据集进行分析,评估虚拟分诊如何影响病人的就诊行动/行为:结果:寻求门诊治疗的患者人数略有下降,包括亲自或视频面对面就诊(-12.5%)或参与自我护理(-8.2%)。患者通过电子就诊和电话参与虚拟护理的比例略有增加(19.1%)。三分之一(35.0%)的患者因虚拟医疗转介而改变了就医方式。另有三分之一(32.3%)的患者在 VT 前的治疗目的与 VT 治疗建议一致,还有三分之一(32.7%)的患者在 VT 前的治疗目的与 VT 治疗建议不一致时没有改变所寻求的治疗。共有 12.0% 的人根据 VT 建议降低了寻求护理的严重程度,其中最常见的是从门诊护理转为虚拟护理(6.5%)或自我护理(4.3%)。当 VT 建议降低护理等级时,53.5% 的人降低了护理等级。有 21.2% 的人提高了护理等级,其中 10.6% 的人采用虚拟护理,7.5% 的人采用门诊护理而不是自我护理,而 3.1% 的人的护理意图是采用虚拟护理而不是门诊护理。当 VT 建议升级护理时,96.2% 的人升级了护理。总体而言,26.7%的患者无需临床人员采取进一步行动或参与:虚拟分诊影响了近一半患者寻求护理的行动/行为,这些患者在使用虚拟分诊前的意向与虚拟分诊建议不同,他们遵从建议寻求更高级而非更低级护理的几率几乎是VT建议的两倍,同时适度减少了面对面就诊的次数,增加了虚拟护理的次数。总体而言,四分之一使用虚拟分诊的患者能够在不与医疗团队互动的情况下进行自我护理。虚拟分诊有可能高效地将患者转到更合适的护理级别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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