Predicting pressure injury risk in hospitalised patients using machine learning with electronic health records: a US multilevel cohort study

Conclusions These data could help hospitals conserve resources within a critical period of patient vulnerability of hospital-acquired pressure injury which is not reimbursed by US Medicare; thus, conserving between 30 000 and 90 000 labour-hours per year in an average 500-bed hospital. Hospitals can use this predictive algorithm to initiate a quality improvement programme for pressure injury prevention and further customise the algorithm to patient-specific variation by facility.

http://bmjopen.bmj.com/cgi/content/short/14/4/e082540?rss=1

Source: BMJ Open - April 9, 2024 Category: General Medicine Authors: Padula, W. V., Armstrong, D. G., Pronovost, P. J., Saria, S. Tags: Open access, Health informatics Source Type: research