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Updated: Nov 30, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Developing a clinical screening tool for identifying COVID-19 infection in older people dwelling in residential aged
Kavitha Gnanasambantham1, Georgia Aitken1, Brett Morris2
1Department of Forensic Medicine, Monash University, Victorian Institute Forensic Medicine, Southbank, Victoria, Australia.
Objective:
To develop and conduct preliminary feasibility testing of a clinical screening instrument for early identification of COVID-19 infection in older people residing in residential aged care services (RACS).
Methods:
A qualitative study was conducted using a multi-modal approach involving examination of existing literature and national guidelines for COVID-19 clinical screening, formulation of a discussion document with peer review and feasibility testing of a prototype screening tool.
Results:
Existing COVID-19 clinical screening tools do not consider age-related impacts on clinical presentation. The qualitative analysis identified the important clinical elements to include were a lower threshold for temperature, occurrence of a recent fall and change in functional status. The new elements also had to be simple and feasible to implement. Overall feedback was positive with all participants recommending the use of the new tool.
Conclusion:
A new screening tool for RACS residents was developed addressing the pathophysiological changes with ageing and atypical features of COVID-19 infection.
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