Using Clinical Decision Intelligence Applications to Improve Pathways For Earlier Detection Of Underrecognized Cognitive Disorders

A S Khachaturian; B Cassin; G R Finney

doi:10.14283/jarlife.2023.3

Using Clinical Decision Intelligence Applications to Improve Pathways For Earlier Detection Of Underrecognized Cognitive Disorders

JAR Life. 2023 May 11:12:14-17. doi: 10.14283/jarlife.2023.3. eCollection 2023.

Authors

A S Khachaturian¹, B Cassin², G R Finney³

Affiliations

¹ Executive Vice-President, Campaign to Prevent Alzheimer's Disease 20/20.
² Chief Executive Officer and Co-Founder, DigiCARE Realized Inc.
³ Professor of Neurology at Geisinger College of Health Sciences, Director, Memory and Cognition Program at Geisinger Health.

Abstract

Cost estimates for care for those with dementia and other cognitive impairments are rising globally, estimated to reach US $1 trillion by 2025. Lack of specialized personnel, infrastructure, diagnostic capabilities, and healthcare access impedes the timely identification of patients progressing to dementia, particularly in underserved populations. International healthcare infrastructure may be unable to handle existing cases in addition to a sudden increase due to undiagnosed cognitive impairment and dementia. Healthcare bioinformatics offers a potential route for quicker access to healthcare services; however, a better preparedness plan must be implemented now if expected demands are to be met. The most critical consideration for implementing artificial intelligence/machine learning (AI/ML) -driven clinical decision intelligence applications (CDIA) is ensuring patients and practitioners take action on the information provided.

Keywords: Alzheimer; Dementia; artificial intelligence; clinical decision applications; healthcare system preparedness; healthcare systems; machine learning; technology adoption.

Grants and funding

Acknowledgment: This work was supported indirectly by Eisai Pharmaceutical, Inc, Eli Lilly & Company, the Berkman Family Trust, and the Brain Watch Coalition of the Campaign to Prevent Alzheimer’s Disease.