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Digital Infrastructure for Robust and Scalable Patient Monitoring in Pandemic Response Situations


Description:

This research project targets digitally supported services for home-monitoring of patients in an epidemic or pandemic situation, including patients with suspected or verified COVID-19 infection. Such solutions, which was rapidly made available at the outbreak of the Covid19 pandemic, allows patients’ self-reporting of symptoms to be transferred to clinicians who follow up the progression of the disease. An existing platform for digital home monitoring of patients with chronic diseases was used, however, the situation of a pandemic poses novel demands. Our overall research question is: Which novel capabilities are required when designing home-monitoring services for forward triaging and remote care in a pandemic usage situation?. This will be answered through both evaluative and exploratory research. We will conduct a feasibility study and an evaluation of services to provide quality assurance and identify areas for improvement. Further, we seek to establish the required infrastructural capabilities to allow capture of the unique, patient-reported, early-phase disease data coming from digitally supported monitoring. These data are valuable both for short-term optimization of the response to the pandemic, as a basis for research oriented on long-term health outcomes, and for innovative development of services. This links to the project’s further ambitions, which is to explore the possibility to combine patient monitoring services with e.g. predictive models, assistive intelligence and AI-enabled automation. We will explore the potential for innovation and improvement of the underlying ICT platform, to be able to accommodate third-party solutions and for the platform to be scalable and flexible. Such third-party solutions are e.g. new data sources (from other monitoring technologies such as IoT devices and wearables), and solutions that support analysis. The potential for AI-assisted monitoring and diagnostic tasks will be explored in co-operation with the industry.


Project leader: Margunn Aanestad

Started: 2020

Ends: 2022

Category: Universiteter

Sector: UoH-sektor

Budget: 4519000

Institution: Institutt for informasjonssystemer

Address: Kristiansand