Automated identification and predictive tools to help identify high-risk heart failure patients: pilot evaluation

Conclusions Using clinical decision support to help identify HF patients and automatically calculating their 30-day all-cause readmission and 30-day mortality risks, coupled with a multidisciplinary care process pathway, was found to be an effective process to improve HF patient identification, significantly reduce 30-day mortality, and significantly increase patient discharges to home care.

Source: Journal of the American Medical Informatics Association - February 17, 2016 Category: Information Technology Authors: Evans, R. S., Benuzillo, J., Horne, B. D., Lloyd, J. F., Bradshaw, A., Budge, D., Rasmusson, K. D., Roberts, C., Buckway, J., Geer, N., Garrett, T., Lappe, D. L. Tags: Research and Applications Source Type: research