Citation

Jung H, Park HA. Stud. Health Technol. Inform. 2019; 264: 1700-1701.

Affiliation

College of Nursing, Seoul National University, Seoul, South Korea.

Copyright

(Copyright © 2019, IOS Press)

DOI

10.3233/SHTI190604

PMID

31438300

Abstract

We developed a prototype CDSS that 1) provides tailored recommendations by combining a fall-risk prediction model, patients data, and evidence from CPGs, and 2) helps nurses to plan nursing care and document their activities for fall prevention. The accuracy of rules in knowledge base and inference engine was verified using ten scenarios and heuristics of user interface evaluated by four experts. We are currently evaluating the effects of the system on nurses' workflow and patient outcomes.

Language: en

Keywords

Accidental falls; Clinical; Decision support systems; Evidence-based nursing