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Using a Markov Chain Model to Analyze the Relationship Between Avoidable Days and Critical Care Capacity.

作者信息

Hudson Darren, Singh Gurmeet

机构信息

School of Health Information Science, University of Victoria.

Clinical Sciences Building, University of Alberta.

出版信息

Stud Health Technol Inform. 2019;257:170-175.

PMID:30741191
Abstract

Hospital capacity strain is ubiquitous, and a significant stressor in critical care. Avoidable days (AD) are frequently used as a metric of capacity. Using a Markov chain model, we studied the relationship between AD and surgical cancellations in a cardiovascular ICU. The model varied the probability of discharging a patient to study this effect over a pool of 108 simulated patients with length of stay data reflecting the actual population. The model behaved as expected with decreasing AD with increasing probability of patient discharge. However, there was no effect on the surgical cancellation rate. We conclude that there is no relationship between AD and critical care capacity as measured by surgical cancellation rate.

摘要

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