Medical Journal of Clinical Trials & Case Studies (MJCCS)

ISSN: 2578-4838

Mini Review

Role of Artificial Intelligence in Continuous Monitoring of Patients and Reducing Code Blue Events in a Tertiary Care Hospital – Our Experience

Authors: Anil Kumar T, Vishwanath K, Ashwin K*, Tharanath S and Sujatha KJ

DOI: 10.23880/mjccs-16000193

Abstract

Artificial Intelligence (AI) has brought lot of advancement in various fields. Even in health care areas AI has made lot of impact in improvising the medical care and management. Continuous monitoring of patients is a vital aspect in the management of patients. There are many instances where even stable patients suddenly deteriorate in the wards. Continuous monitoring is the required to avoid such catastrophic events. We have implemented Cloud connected continuous monitoring systems in acute medicine ward in Ramaiah Medical College Hospital. Acute Medicine ward is a high dependency ward where vulnerable patients who require continuous monitoring are admitted. We found that Cloud connected continuous monitoring systems was helpful in timely identification of the critical events, reducing code blue events and reduced burden on Intensive care units. Here in this article we present our experience by utilizing Cloud connected continuous monitoring systems at our hospital.

Keywords: Cloud connected continuous monitoring systems; Artificial Intelligence; Code Blue

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