An Approach to digitalize Psychological Tests to support Diagnosis of Alzheimer’s Disease in Ambulatory Care

Resource type
M. Schinle, D. Wyszka, W. Stork, F. Schwärzler, K. Volz, M.-A. Ruby, E. Sejdinovic
The number of people suffering dementia is expected to nearly triple until 2050. Unfortunately, diagnosis is often provided too late or not at all, although the progression of the disease could be positively influenced by early detection. Reasons for this can be seen in the stigmatizing effect of the diagnosis and the lack of medical care especially in low- and middle-income countries. For diagnosing dementia, a variety of causal diseases need to be differentiated. An initial etiological differentiation and classification can be made by testing based on the clinical characteristics, such as memory loss or limited learning ability. This allows the derivation of progress and treatment of this syndrome. Therefore, we digitalized a combination between established, empirically validated assessments and new approaches to get a variation of measurements about cognition-, memory- and behaviour-related symptoms regarding the most common type of dementia. This paper will work out how the digitalization and enhancement of standardized psychological tests can support the diagnosis of Alzheimer’s Disease (AD) and which challenges this entails.
Online Sources
Research focus
Telemedicine and Health Care Services
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Published by
Markus Schinle