AuthorsJ. E. Hannay, K. S. Fuglerud, W. Leister and T. Schulz
EditorsV. Duffy
TitleScenario Design for Healthcare Collaboration Training under Suboptimal Conditions
AfilliationSoftware Engineering
Project(s)EDOS: Effective Digitalization of Public Sector
StatusPublished
Publication TypeBook Chapter
Year of Publication2022
Book TitleDigital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Health, Operations Management, and Design
Volume19
Series VolumeLNCS 13320
Pagination197-214
PublisherSpringer International Publishing
KeywordsHealthcare Collaboration, IT Services, Procedures, Scenario Design, Simulation-based training, Stakeholder Journey Analysis
Abstract

Health care today usually consists of various services covering various parts of the total health care of a region or country. These services are required to coordinate and collaborate, often using procedures and IT collaboration tools that may not be designed for interoperating across the evolving wider landscape of health care services. We posit that it is necessary to train personnel in collaboration skills using whatever infrastructure is in place. To this end, we present design principles for simulation-based collaboration training scenarios that emphasizes the inclusion of suboptimal infrastructure elements. We applied the principles in a co-creational workshop with healthcare stakeholders from a hospital and surrounding municipalities in Norway where we discussed cases where collaboration training is perceived as critical. We elicited five training vignettes concerning the general case of   detecting, and following up on, clinical deterioration in a patient at home or in a nursing home. We found that the design principles spurred highly relevant discussions among participants and that novel ideas for collaboration training were brought forth on the basis of these principles. We conclude that there is a potential in using these principles for eliciting training vignettes that address the actual situation more accurately.