Abstract
We present Hypercare – a system for automated escalation and incident management in healthcare, which allows clinicians to create escalation logic in the hospitals. We present eight common escalation use cases and the results of a heuristic evaluation of the front-end of the system. We have completed designing the front-end and creating backend API endpoints of this application. The API endpoints have been collaboratively documented and tested using Postman. Examples for creating an escalation ladder and fetching active escalations are provided.
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This research has been funded by Mitacs Accelerate.
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Hossain, M.Y., Azhar, U., To, Y., Choi, J., Zaman, L. (2021). Automated Escalation and Incident Management in Healthcare During Mass Casualties and Pandemic Events. In: Duffy, V.G. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. AI, Product and Service. HCII 2021. Lecture Notes in Computer Science(), vol 12778. Springer, Cham. https://doi.org/10.1007/978-3-030-77820-0_6
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