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Published on: July 24, 2019
Reimagining dementia screening: A stakeholder-informed perspective on artificial intelligence, digital biomarkers,
Kevin Mekulu1, Faisal Aqlan2, Hui Yang1
1Complex Systems Monitoring, Modeling and Control Laboratory, Pennsylvania State University, University Park, PA, USA.
New Alzheimer's disease treatments require better cognitive screening. AI-powered speech analysis offers a scalable solution to overcome current workflow barriers, improving patient care.
Area of Science:
- Neurology and Digital Health
- Healthcare Innovation
- Biomarker Discovery
Background:
- The advent of disease-modifying therapies for Alzheimer's disease necessitates a reevaluation of existing cognitive screening protocols.
- Current screening methods face challenges including time limitations in primary care settings and learning effects in long-term care facilities.
Purpose of the Study:
- To identify barriers in current cognitive screening workflows for Alzheimer's disease.
- To explore innovative solutions, particularly those leveraging artificial intelligence (AI) and digital biomarkers, to enhance cognitive screening.
- To propose implementation strategies for new screening technologies.
Main Methods:
- Conducted over 180 stakeholder interviews through the NSF National I-Corps program to gather insights into current clinical workflows and challenges.
- Analyzed qualitative data to identify key barriers and opportunities for innovation in cognitive screening.
- Focused on AI-driven approaches, specifically speech analysis, as a potential scalable and cost-effective screening tool.
Main Results:
- Identified significant barriers in current cognitive screening, including time constraints and learning effects.
- Highlighted AI and digital biomarkers, especially speech analysis, as promising avenues for improved screening.
- Speech analysis presents a scalable, cost-effective tool compatible with existing healthcare reimbursement structures (CPT codes).
Conclusions:
- Technological innovation, particularly AI-driven speech analysis, can address critical needs in Alzheimer's disease cognitive screening.
- Aligning technological advancements with clinical practice is essential for translating research breakthroughs into tangible patient and provider benefits.
- There is an urgent need to implement innovative screening strategies to support the effective use of new Alzheimer's disease treatments.
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