Abstract
Healthcare today usually consists of various services covering various parts of the total healthcare 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 healthcare 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.
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Acknowledgements
The authors are grateful to the healthcare professionals, researchers and administrators for participating in the workshop. The authors are grateful to training coordinator and critical-care nurse Eva Linnerud for providing insights into the central aspects in our discussion and for organizing the workshop and its participants. This research is supported by the Norwegian Research Council under project number 321059 Close the Gap – Simulation-based training for collaboration within and between healthcare services.
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Hannay, J.E., Fuglerud, K.S., Leister, W., Schulz, T. (2022). Scenario Design for Healthcare Collaboration Training Under Suboptimal Conditions. In: Duffy, V.G. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Health, Operations Management, and Design. HCII 2022. Lecture Notes in Computer Science, vol 13320. Springer, Cham. https://doi.org/10.1007/978-3-031-06018-2_14
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