Trust in and Building of Sustainable Local Health and Well-Being Programs in the United States

Michael R. Greenberg () and Dona Schneider
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Michael R. Greenberg: Edward J. Bloustein School of Planning and Public Policy, Rutgers University, 33 Livingston Avenue, New Brunswick, NJ 08901, USA
Dona Schneider: Edward J. Bloustein School of Planning and Public Policy, Rutgers University, 33 Livingston Avenue, New Brunswick, NJ 08901, USA

Sustainability, 2024, vol. 16, issue 4, 1-14

Abstract: The U.S. healthcare system is by far the most expensive per capita in the world and does not deliver the best outcomes. The literature shows that the U.S. population is distressed about what it is paying for and is especially distressed about people and companies that it perceives as sacrificing the public good for personal profit. Nevertheless, studies show high levels of trust in nurses, pharmacists, personal physicians, fire and security officers, engineers, and other practitioners who provide services at the local scale. Artificial intelligence (AI) poses an opportunity to reduce healthcare costs, yet it concerns the public because its misuse may violate personal boundaries, spread inaccurate data, and lead to other undesirable outcomes. The literature illustrates the benefits of cooperative relationships between community groups, local governments, and experts using new AI tools in support of local public health and well-being programs. One important example is preventing and reducing the consequences of acute hazard events. Overall, this review makes a case that focusing on the community scale represents an opportunity to improve health and well-being outcomes by establishing trusted and sustainable relationships.

Keywords: artificial intelligence; competence; communications; healthcare; trust; values (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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