Optimizing Safety, Fidelity and Usability of an Intelligent Clinical Support Tool (ICST) For Acute Hospital Care: an Australian Case Study Using a Multi-Method Delphi Process.
This research focuses on a major health priority for Australia by addressing existing gaps in the implementation of nursing informatics solutions in healthcare. It serves to inform the successful deployment of IT solutions designed to support patient-centered, frontline acute healthcare delivery by multidisciplinary care teams. The outcomes can guide future evaluations of the contribution of IT solutions to the efficiency, safety and quality of care delivery in acute hospital settings.
Epworth HealthCare/Deakin University Centre for Clinical Nursing Research.
Mari
M
Botti
Epworth HealthCare/Deakin University Centre for Clinical Nursing Research.
Bernice
B
Redley
Deakin University School of Information and Business Analytics.
Lemai
L
Nguyen
Epworth HealthCare/Deakin University Centre for Clinical Nursing Research.
Kimberley
K
Coleman
Epworth HealthCare/RMIT University Health Information Management.
Nilmini
N
Wickramasinghe
D016638:Critical Illness / Q000628:therapy*; D020000:Decision Support Systems, Clinical / Q000706:statistics & numerical data*; D003697:Delphi Technique; D004632:Emergency Medical Services / Q000706:statistics & numerical data*; D000068156:Formative Feedback; D062527:Meaningful Use / Q000706:statistics & numerical data*; D019300:Medical Errors / Q000517:prevention & control*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014600:Utilization Review; D014739:Victoria