A Decision-Making Algorithm for Remote Digital Assessments of Alzheimer's Disease

Abstract

Introduction: Remote digital assessments (RDAs) such as voice recording, video and motor sensors, olfactory, hearing, and vision screenings are now starting to be employed to complement classical biomarker and clinical evidence to identify patients in the early AD stages. Choosing which RDA can be proposed to individual patients is not trivial and often time-consuming. This position paper presents a decision-making algorithm for using RDA during teleconsultations in memory clinic settings.

Method: The algorithm was developed by an expert panel following the Delphi methodology.

Results: The decision-making algorithm is structured as a series of yes-no questions. The resulting questionnaire is freely available online.

Discussion: We suggest that the use of screening questionnaires in the context of memory clinics may help accelerating the adoption of RDA in everyday clinical practice.

Keywords: Alzheimer’s disease; Decision-making algorithm; Digital biomarkers; Early screening; Remote digital assessment.