Digital triage: Novel strategies for population health management in response to the COVID-19 pandemic

被引:60
|
作者
Lai, Lucinda [1 ,2 ]
Wittbold, Kelley A. [1 ,8 ]
Dadabhoy, Farah Z. [1 ,2 ]
Sato, Rintaro [3 ]
Landman, Adam B. [3 ,8 ]
Schwamm, Lee H. [5 ,8 ]
He, Shuhan [1 ]
Patel, Rajesh [4 ]
Wei, Nancy [7 ,8 ]
Zuccotti, Gianna [4 ,5 ,8 ]
Lennes, Inga T. [7 ,8 ]
Medina, Danika [4 ]
Sequist, Thomas D. [7 ,8 ]
Bomba, Garrett [9 ]
Keschner, Yonatan G. [1 ,2 ]
Zhang, Haipeng [3 ,6 ,8 ]
机构
[1] Massachusetts Gen Hosp, Dept Emergency Med, 55 Fruit St, Boston, MA 02114 USA
[2] Harvard Affiliated Emergency Med Residency Progra, 5 Emerson Pl,Suite 101, Boston, MA USA
[3] Brigham & Womens Hosp, Brigham Digital Innovat Hub, 75 Francis St, Boston, MA 02115 USA
[4] Brigham & Womens Hosp, 75 Francis St, Boston, MA 02115 USA
[5] Partners HealthCare Digital Hlth Initiat, 399 Revolut Dr, Somerville, MA USA
[6] Dana Farber Canc Inst, Dept Psychosocial Oncol & Palliat Care, 450 Brookline Ave, Boston, MA 02115 USA
[7] Massachusetts Gen Hosp, Dept Med, Boston, MA 02114 USA
[8] Harvard Med Sch, 25 Shattuck St, Boston, MA 02115 USA
[9] Partners Community Phys Org, Boston, MA USA
来源
HEALTHCARE-THE JOURNAL OF DELIVERY SCIENCE AND INNOVATION | 2020年 / 8卷 / 04期
关键词
Artificial intelligence; Digital health; COVID-19; Pandemic; Chatbot; Triage;
D O I
10.1016/j.hjdsi.2020.100493
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
The COVID-19 pandemic has created unique challenges for the U.S. healthcare system due to the staggering mismatch between healthcare system capacity and patient demand. The healthcare industry has been a relatively slow adopter of digital innovation due to the conventional belief that humans need to be at the center of healthcare delivery tasks. However, in the setting of the COVID-19 pandemic, artificial intelligence (AI) may be used to carry out specific tasks such as pre-hospital triage and enable clinicians to deliver care at scale. Recognizing that the majority of COVID-19 cases are mild and do not require hospitalization, Partners HealthCare (now Mass General Brigham) implemented a digitally-automated pre-hospital triage solution to direct patients to the appropriate care setting before they showed up at the emergency department and clinics, which would otherwise consume resources, expose other patients and staff to potential viral transmission, and further exacerbate supply-and-demand mismatching. Although the use of AI has been well-established in other industries to optimize supply and demand matching, the introduction of AI to perform tasks remotely that were traditionally performed in-person by clinical staff represents a significant milestone in healthcare operations strategy.
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页数:7
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