Department of Emergency Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, USA; Harvard Affiliated Emergency Medicine Residency Program, 5 Emerson Place, Suite 101, Boston, MA, USA.
Department of Emergency Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, USA; Harvard Medical School, 25 Shattuck Street, Boston, MA, USA.
Healthc (Amst). 2020 Dec;8(4):100493. doi: 10.1016/j.hjdsi.2020.100493. Epub 2020 Oct 26.
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.
由于医疗体系能力与患者需求之间的巨大不匹配,新冠疫情的爆发给美国医疗体系带来了独特的挑战。由于传统观念认为人类需要处于医疗服务任务的中心,医疗行业一直是数字创新的相对缓慢采用者。然而,在新冠疫情的背景下,人工智能(AI)可以用于执行特定任务,如院前分诊,并使临床医生能够大规模提供护理。鉴于大多数新冠病例是轻症且无需住院治疗,Partners HealthCare(现称 Mass General Brigham)实施了数字化自动院前分诊解决方案,在患者到达急诊室和诊所之前,将其引导到合适的护理场所,否则这些资源将被消耗,其他患者和员工将面临潜在的病毒传播风险,进一步加剧供需不匹配。尽管人工智能在其他行业中已被广泛用于优化供需匹配,但将人工智能引入到传统上由临床人员亲自执行的远程任务中,代表了医疗运营策略中的一个重要里程碑。