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Full-Text Articles in Geropsychology
Artificial Intelligence: An Interprofessional Perspective On Implications For Geriatric Mental Health Research And Care, Brenna N. Renn, Matthew Schurr, Oleg Zaslavsky, Abhishek Pratap
Artificial Intelligence: An Interprofessional Perspective On Implications For Geriatric Mental Health Research And Care, Brenna N. Renn, Matthew Schurr, Oleg Zaslavsky, Abhishek Pratap
Psychology Faculty Research
Artificial intelligence (AI) in healthcare aims to learn patterns in large multimodal datasets within and across individuals. These patterns may either improve understanding of current clinical status or predict a future outcome. AI holds the potential to revolutionize geriatric mental health care and research by supporting diagnosis, treatment, and clinical decision-making. However, much of this momentum is driven by data and computer scientists and engineers and runs the risk of being disconnected from pragmatic issues in clinical practice. This interprofessional perspective bridges the experiences of clinical scientists and data science. We provide a brief overview of AI with the main …
Resident Centered Behavioral Health: A Program Evaluation, Anna Olinger
Resident Centered Behavioral Health: A Program Evaluation, Anna Olinger
All Graduate Theses, Dissertations, and Other Capstone Projects
Behavioral health concerns, such as depression and behavioral symptoms, impact older adults at significant rates. These concerns impact an individual’s quality of life, health status, and mortality. When behavioral health concerns cannot be effectively managed in the community by the individual or their caregivers, a skilled-nursing facility is often the next step. Unfortunately, those caring for older adults in these settings have not always had access to the training they need to care for individuals with depression or behavioral symptoms. The Resident Centered Behavioral Health program set out to change this. The program implemented an interactive, behavioral health training program …