Related Experiment Video
Updated: Sep 8, 2025

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills
Published on: February 13, 2020
Development and Pilot Testing of an Artificial Intelligence and Care Coach Intervention for Cognitively Impaired
Cameron J Gettel1, Chitra Dorai2, James Galske1
1Department of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Background:
Care transitions from the emergency department (ED) to community settings are particularly challenging for persons living with cognitive impairment (PLWCI) and their caregivers. The chaotic ED environment and limited post-discharge support contribute to poor outcomes and high caregiver burden. This study aimed to develop and pilot test an intervention integrating artificial intelligence (AI) technology and care coaching to enhance post-ED support among PLWCI and their caregivers.
Methods:
We conducted a three-phase study using a user-centered approach. Phase 1 involved focus groups with key informants to explore care transition experiences. Phase 2 included a design thinking workshop with PLWCI, caregivers, clinicians, and technology experts to co-create the intervention. The final intervention combined a 5-part AI technology application (termed NeuViCare)-planner, task support, resource advisor, care advisor, and community hub-with access to a care coach trained in occupational therapy or nursing. In Phase 3, we pilot tested the intervention in four EDs, measuring caregiver self-efficacy (Fortinsky Caregiver Self-Efficacy scale) and burden (4-item Zarit Caregiver Burden scale).
Results:
Focus groups including 15 participants highlighted major ED and transition challenges, emphasizing the need for better communication and support. Workshop participants (n = 23) identified key intervention components. In the pilot, 40 participants enrolled, with 34 completing the 7-day follow-up and 29 completing the 30-day follow-up. Engagement with NeuViCare was high, with caregiver self-efficacy improving from 52.0 at Day 0 to 65.8 at Day 30, and caregiver burden decreasing from 9.2 to 8.2.
Conclusion:
Integrating AI-driven support with human care coaching shows promise in improving ED care transitions for PLWCI and their caregivers. The intervention enhanced caregiver self-efficacy and modestly reduced burden, suggesting potential for broader implementation.
More Related Videos
07:01Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
Published on: September 20, 2020
06:46Automated, Long-term Behavioral Assay for Cognitive Functions in Multiple Genetic Models of Alzheimer's Disease, Using IntelliCage
Published on: August 4, 2018
Related Concept Videos
Cognitive Development During Adulthood
Alzheimer's Disease: Treatment
Community Based Intervention
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
Aging
Cellular Clock Theory
The cellular clock theory posits that the human lifespan is closely tied to the finite capacity of cells to divide, a phenomenon governed by telomeres, which are protective caps at the ends of...
Nursing Process for Patient and Caregiver Teaching II: Planning and Implementation
Alzheimer's Disease: Overview
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...