'AI-powered system predicts patient deterioration up to 16 hrs in advance'

Quick Summary:

The study was conducted at King George’s Medical University (KGMU) and is one of the largest observational studies of its kind in Indian tertiary care.

The observational study monitored over 700 patients across 85,000 hours and demonstrated how Dozee’s EWS can transform traditional manual processes.

In many Indian hospitals, continuous monitoring is limited to ICUs, leaving general wards—where the majority of patients reside—vulnerable to undetected clinical deterioration.

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Article Details

Category: BusinessFinance

Markets: India

Topics: Artificial intelligence Heart ICU

Source Website Secure: Yes (HTTPS)

News Sentiment: Negative

Fact Checked: Legitimate

Article Type: News Report

Published On: 2024-10-25 @ 11:48:21 (5 days ago)

News Timezone: GMT +5:00

News Source URL: business-standard.com

Language: English

Article Length: 501 words

Reading Time: 3 minutes read

Sentences: 21 lines

Sentence Length: 24 words per sentence (average)

Platforms: Desktop Web, Mobile Web, iOS App, Android App

Copyright Owner: © Business Standard

News ID: 23235653

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Main Topics: BusinessFinance

Official Website: business-standard.com

Update Frequency: 291 posts per day

Year Established: 1975

Headquarters: India

News Last Updated: 2 hours ago

Coverage Areas: India

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Publisher ID: #49

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