Improving Healthcare Delivery and Population Health
Our research programs include the following:
Establishing a Culture of Health as Business Imperative
Every business, knowingly or not, is in the health business. Business, together with health and community partners, can promote a culture of health through four distinct, but interrlated, pillars: consumer health, employee health, community health, and environmental health. This research explores opportunities for making health a business imperative.
Learn More About Our Work in Culture of Health
Culture of Health - Harvard T.H. Chan School of Public Health
Building a Culture of Health - Robert Wood Johnson Foundation
Identifying Bright Spots in Patient Care Delivery
This program identifies and spreads organizational attributes associated with better value care.
Promoting Integrated Patient Care
For over a decade, Dr. Singer's research has re-conceptualized the meaning of integrated patient care and care integration in ways that emphasize patient's perspectives, including social as well as organizational forms of integrating, to ensure that patients don't get lost in the health system.
RAND Center of Excellence on Health System Performance
Patient Perceptions of Integrated Care (PPIC) - Harvard T.H. Chan School of Public Health
Engineering High Reliability Learning Lab
The goal of this learning lab is to enhance capacity for innovation and develop highly reliable systems that address communication and coordination challenges that pose patient safety risks at the intersection of primary and specialty care. A five-stage innovation cycle, including problem analysis, design, development, implementation, and evaluation, drives learning lab efforts to develop highly reliable systems within 19 Harvard-affiliated primary care practices and their specialty care partners.
Learn more about Engineering High Reliability Learning Lab (EHRLL)
Overview of Patient Safety Learning Laboratory (PSLL) Projects
Advancing our understanding of team science
AI-READI is one of four data generation projects of the National Institutes of Health (NIH)- funded Bridge2AI Program. AI-READI seeks to create and share a flagship ethically-sourced dataset for type 2 diabetes. The data will be optimized for future artificial intelligence/machine learning (AI/ML) analysis that could provide critical insights into the salutogenic pathways from diabetes to return to health. Dr. Singer leads the AI-READI Teaming Module, which aims to apply and advance team science in order to develop an effective multi-team system, capable of achieving individual module, AI-READI, and Bridge2AI goals.
The Teaming Module will support the AI-READI project by applying team science to promote transdisciplinary collaboration across disciplinary, hierarchical, demographic, and other boundaries. In doing so, we aim to advance our understanding of teaming in the context of multi-team systems involving multidisciplinary scientists, trainees, and communities.