Performance validation of the PRADA digital care system in a cohort-controlled study demonstrates improved end-of-life registration associated with reduced adverse outcomes

Abstract excerpt

<h4> Abstract </h4> Rising urgent care use, avoidable hospital deaths, and missed end-of-life (EOL) registration reflect poor care at this critical phase of life. These are known to be avoidable by earlier identification and EOL registration for effective care planning. Current identification tools are generally non-digital. PRADA, a digital system, uses prediction methodologies for early identification of indiv...

Topics

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• Acute Disease
• COVID-19
• Electronic Health Records
• Heart Failure
• Machine Learning
• Phenotype
• Prediction Algorithms
• Respiration, Artificial

Identifiers and source

Literature Corpus work

fde60957-df78-5516-885b-5b7c825c4ac0

DOI

10.64898/2026.01.01.26343327