ASIC Core Areas of Work
The Collaborative uses technology and data science to develop scalable, evidence-based solutions that advance health equity and improve outcomes for older adults and their families. Its members influence the health system and policy change through national committees, testimony, advisory roles, and leadership in professional organizations. The Collaborative focuses on scalable, sustainable, and responsive solutions using expertise in intervention development, implementation science, data science, and technology-enabled care.
Palliative and End-of-Life Care
- Developing models of palliative and hospice care across settings, including acute and emergency care, assisted living, home care, and hospice care
- Enhancing communication and decision-making at the end of life
- Advocating for equitable access to high-quality care for persons with serious illnessvocating for equitable access to high-quality care for persons with serious illness
Dementia, Cognitive, and Functional Health
- Studying cognitive and functional decline and its impact on families and systems of care
- Developing interventions to support persons living with dementia and their caregivers across community-based settings (home-based care, adult day health, assisted living, nursing homes)
- Developing brain health interventions to identify and support persons living with cognitive impairment earlier in the illness trajectory
- Tailoring interventions for use in real-world settings and testing them in large-scale, multi-site pragmatic trials
Family and Caregiver Support
- Identifying unmet needs of family and care partners across the illness trajectory
- Creating and testing programs that reduce caregiver burden and promote well-being
- Embedding caregiver perspectives in care models and health policy
Community Engagement, Policy, and Workforce Development
- Building community partnerships to create age- and illness-sensitive care models
- Leading national and state policy efforts to reform long-term and serious illness care
- Expanding and mentoring the workforce in geriatrics, palliative care, and dementia care
Data Science and Innovation
- Applying machine learning/artificial intelligence, digital health, and precision health to predict and monitor needs
- Designing technology-enabled interventions (e.g. mHealth apps, EHR clinical decision supports) that improve care and independence
- Using implementation science to ensure interventions are scalable and sustainable in real-world settings
ASIC Faculty
Abraham A. Brody
Assistant Dean for Transformational Excellence in Aging
Mathy Mezey Professor of Geriatric Nursing
Tara A Cortes
Clinical Professor
Executive Director, Hartford Institute for Geriatric Nursing
Dena Schulman-Green
Associate Professor
Director of the Florence S. Downs PhD Program