A tertiary hospital in Beijing developed a data-driven analytical framework to bridge the gap between strategic objectives ...

Enabled by a novel business strategy called the Health Care Utility Model, the authors offer a mindset with the potential to increase both competition and collaboration while reducing dominance of the ...

A framework for enhancing the role of pharmacists so that they can help to close gaps in preventative care, including barriers to vaccination access.

In 2023, NEJM Catalyst and Jiahui Medical Research & Education Group (J-Med) launched a multiyear collaboration designed to highlight and promote advances in the delivery of health care in China.

A four-tier model offers a pragmatic framework for establishing meaningful measurements that will advance equity for patients and for the staff of the organization.

Healthcare risk management comprises the systems and processes employed to uncover, mitigate, and prevent risks in healthcare institutions. Understand its purpose, elements, the risk manager’s role, ...

The coronavirus crisis exposes disparities in access to care for vulnerable populations, particularly with respect to telemedicine. There is, however, an opportunity, as payers and providers are ...

Massachusetts’ Public Health Commissioner discusses the need to break down barriers within organizations and between public- and private-sector health organizations to achieve better care and health ...

Pay for Performance (P4P) ties reimbursement to metric-driven outcomes, best practices, and patient satisfaction. Find information on P4P models, CMS programs, pros/cons, and more. This article ...

Health care leaders must recognize that change comes quickly, says the CEO of Mayo Clinic, and from places they might not expect: technology, data, and consumerism. He also stresses the need to chip ...

How a public-private collaboration, Covid 3D TRUST, has helped to address critical supply shortages by empowering designers, manufacturers, and users of 3D-printed PPE during the Covid-19 pandemic.

“Big data in healthcare” refers to the abundant health data amassed from numerous sources including electronic health records (EHRs), medical imaging, genomic sequencing, payor records, pharmaceutical ...