Multi-dimensional knowledge translation: enabling health informatics capacity audits using patient journey models.
This paper presents a multi-dimensional approach to knowledge translation, enabling results obtained from a survey evaluating the uptake of Information Technology within Neonatal Intensive Care Units to be translated into knowledge, in the form of health informatics capacity audits. Survey data, having multiple roles, patient care scenarios, levels, and hospitals, is translated using a structured data modeling approach, into patient journey models. The data model is defined such that users can develop queries to generate patient journey models based on a pre-defined Patient Journey Model architecture (PaJMa). PaJMa models are then analyzed to build capacity audits. Capacity audits offer a sophisticated view of health informatics usage, providing not only details of what IT solutions a hospital utilizes, but also answering the questions: when, how and why, by determining when the IT solutions are integrated into the patient journey, how they support the patient information flow, and why they improve the patient journey.
Catley
Christina
C
Faculty of Health Sciences and Faculty of Business and IT at the University of Ontario Institute of Technology, Oshawa, Canada. ccatley@ieee.org
McGregor
Carolyn
C
Percival
Jennifer
J
Curry
Joanne
J
James
Andrew
A
D001185:Artificial Intelligence; D054626:Consumer Health Information / Q000458:organization & administration*; D003625:Data Collection / Q000379:methods*; D006801:Humans; D007363:Intensive Care Units, Neonatal / Q000458:organization & administration*; D019359:Knowledge; D008490:Medical Informatics; D016347:Medical Records Systems, Computerized / Q000458:organization & administration*; D008962:Models, Theoretical