Augmenting a Transitional Care Model With Artificial Intelligence Decreased Readmissions

Post intensive care syndrome: A review of clinical symptoms, evaluation, intervention

“…Efficiently managing ICU survivors throughout their journey from ICU admission to post-discharge necessitates substantial financial investment, patient compliance, and effective multidisciplinary management, etc. So, some factors such as inappropriate timing of rehabilitation, inadequate coordination of services, and incomplete treatment can undermine the effectiveness of interventions, ultimately impacting the rehabilitation process by decreasing compliance from both healthcare providers and patients [ 124 ].…”

“…Furthermore, computer-based natural language processing tools can effectively collate the medical records of critically ill patients, providing multidisciplinary management teams with detailed and accurate information, thereby enhancing the diagnostic accuracy and quality of care for PICS patients [ 126 ]. The ability of artificial intelligence to process complex data and its faster data processing speed not only enhance the quality of transitional care in the ICU but also formulate and adjust rehabilitation plans for ICU survivors promptly, thereby reducing the risk of readmission and speeding up their recovery process [ 124 , 127 ].…”