Automating triage and monitoring of 7578 COVID-19 migrant workers in the community: A Narrative Review (Preprint)

Author:

Lim Kheng Sit,Phua Kia-Sheng Jonathan,Chow Sau Yee,Liu Wei Yang Christopher,Tan Hiang Khoon

Abstract

UNSTRUCTURED

• Background The COVID-19 pandemic unmasked how quickly healthcare systems could be overwhelmed. One of the most pressing issues was the lack of hospital and intensive care beds. Attempts to mitigate these addresses both ends of the equation: admissions and bed creation. While it is relatively straightforward to utilize resources in generating more facilities, we were in unchartered waters with regards to refining triage criteria for admission to hospital for patients in the setting of community primary care. • Methods This narrative review shares our journey in determination and revision of triage criteria and effecting a robust self-monitored and reported automated vital sign system in a cohort of 7578 COVID-19 patients managed out-of-hospital. • Results: We present descriptive statistics on our patient cohort’s vital signs, compliance rate to monitoring, percentage of patients triggering medical review, percentage of patients transferred out to hospital and adverse events incidence. • Conclusions: We believe there are lessons and potential applications for the international community from our experience.

Publisher

JMIR Publications Inc.

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