Deciphering Perspectives: A European Survey on Clinical Decision Support Tools for Dementia and Alzheimer's Disease.

Abstract

Introduction: Technological advancements like digital monitoring tools, disease-modifying therapies, and artificial intelligence have been shown to improve the clinical management of neurocognitive diseases like Alzheimer's disease (AD). To enhance implementation in daily practice, users' input is essential in the technology development process. This study aimed to determine clinician's perspective of clinical decision support systems (CDSS) in the management of dementia and AD.

Method: A survey was conducted targeting clinicians practicing in the field of dementia across Europe. A sixty-five-item digital questionnaire was administered, and opinions were inquired across the domains of diagnosis, disease-modifying therapy, and prognosis, including factors that affect tool implementation and utilization.

Results: Eighty-four clinicians (including specialist physicians, psychologists, and nurses) responded to this survey, and more than 50% had no knowledge or experience with CDSS. Most of the respondents reported the ability to predict the likelihood of AD as the most important diagnostic function. It was surprising to find the middling responses for the ability to predict amyloid positivity. The majority indicated assessment of treatment eligibility for disease-modifying therapy as vital, and the ability to predict cognitive and functional decline as the most important prognostic functions. Data accuracy and ease of use were noted as most necessary to facilitate CDSS adoption and implementation.

Conclusion: Findings from this study contribute to the future development of CDSS in this field, especially regarding the approval and imminent use of disease-modifying therapies, a comprehensive tool that is precise and user friendly would improve clinical decisions and efficiency.