Peer-Reviewed Publication

Mayo Clin Proc Innov Qual Outcomes2025;9(5):100663.October 1, 2025Journal Article

Vital Signs-Only Machine Learning Model for Acute Inpatient Deterioration: A Retrospective Multicenter Study.

Santiago Romero-Brufau^1,2, Radit Smunyahirun³, Timothée Filhol³, Lucille Niederhauser⁴, Thanawin Trakoolwilaiwan³, Gurpreet Singh³

¹Department of Otolaryngology, Head and Neck Surgery, SW Rochester, MN.

²Department of Biostatistics, Harvard University, Boston, MA.

³Respiree Private Ltd, Singapore, Singapore.

⁴École polytechnique fédérale de Lausanne (EPFL), Lausanne, Switzerland.

PubMed PMC DOI PDF

Abstract

OBJECTIVE: To develop predictive models that are compatible with vital signs monitoring devices to identify patients at risk of clinical deterioration, defined as requiring a rapid response team intervention or an unplanned intensive care unit transfer. PATIENTS AND METHODS: Targeted vital signs from 227,858 inpatients admitted to general care or telemetry beds at a multihospital health care inst…

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