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

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

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 ...

This article appeared in NEJM Catalyst prior to the launch of the NEJM Catalyst Innovations in Care Delivery journal. Learn more. Patient flow is the movement of patients through a healthcare facility ...

An analysis of the systems in Massachusetts (USA), the Netherlands, Norway, and England (UK) reveals structural differences and variation in emphasis on programs used to effect value in care delivery.

UCSF Health found that women providers spent more time in the EHR and documented longer notes on a per-wRVU basis, possibly contributing to greater burnout.

Penn Medicine’s Cancer Care at Home program, established to address clinical, administrative, and financial obstacles to delivering certain cancer drugs at home, enabled hundreds of cancer patients to ...

“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 ...