Saira Ghafur & Eric C. Schneider
Providers can benefit patients and disrupt health care by learning from the experience of other industries.
Case Study by
Marc B. Westle, George R. Burkert & Ronald A. Paulus
How Mission Hospital scaled a virtual sitter pilot and reduced unassisted falls by 44% and fall-related injuries by 40%.
The NEJM Catalyst Insights Council agrees that while financial incentives are a common strategy to engage patients in healthy behaviors, they are not necessarily effective.
Initiatives to improve patient engagement come in a variety of forms. While insurers, employers, and health care providers are all involved in using financial incentives and penalties for engagement efforts, improvement in health outcomes has been elusive. Achieving that ultimate goal will usually require a combination of financial and social approaches.
Sujatha Changolkar, David A. Asch, Mohan Balachandran, Kevin G. Volpp & Mitesh S. Patel
Leaders are finding that making higher-value choices easier through subtle changes to choice architecture can have an outsized impact on medical decision-making.
Insights Report by
NEJM Catalyst & University of Utah Health
An independent NEJM Catalyst report sponsored by University of Utah Health on barriers to achieving an excellent patient experience.
Cynthia J. Sieck, Daniel M. Walker, Sheldon Retchin & Ann Scheck McAlearney
Patient engagement assessments often don’t dig deep enough to identify why patients don’t participate in their own health care. We present a new model to help providers pinpoint the reasons for lack of engagement and address them more effectively.
Both parties involved in a consumer-facing transaction have access to important information about the product or service — but this isn’t the case with health care.
Lala Tanmoy Das, Erika L. Abramson & Rainu Kaushal
More home health care and after-hours clinics, telemedicine, and home delivery of medications are among top solutions.
Bharat Tewarie, Vasudev Bailey, Maxwell Rebarber & Jennings Xu
With natural language processing and machine learning, researchers are identifying patient emotional and medical needs that are not being met by clinicians and patient advocacy groups.