Background The Systematized Medical Nomenclature for Medicine–Clinical Terminology
(SNOMED CT) is a clinical terminology system that provides a standardized and …

Machine Learning for Health (ML4H) has demonstrated efficacy in computer imaging and
other self-contained digital workflows, but has failed to substantially impact routine clinical …

Objective Despite broad electronic health record (EHR) adoption in US hospitals, there is
concern that an “advanced use” digital divide exists between critical access hospitals …

Background This study demonstrates that digital maturity contributes to strengthened quality
and safety performance outcomes in US hospitals. Advanced digital maturity is associated …

As the COVID-19 pandemic loomed, the adoption of electronic health records (EHRs) in US
hospitals became a pivotal concern. This study provides a pre-pandemic assessment …

Electronic health records (EHRs) are software systems focused on comprehensive patient
health. Unlike electronic medical records (EMRs), which represent a digitized version of …

Objectives Artificial intelligence (AI) holds great promise for transforming the healthcare
industry. However, despite its potential, AI is yet to see widespread deployment in clinical …

Background The Department of Veterans Affairs (VA), the largest nationally integrated health
system in the United States, is transitioning from its homegrown electronic health record …

Objectives The aim of the study is to examine the relationship between electronic health
record (EHR) use/functionality and hospital operating costs (divided into five subcategories) …

Abstract The Veterans Health Administration (VHA), under the US Department of Veterans
Affairs (VA), is one of the largest single providers of health care in the US VA supports an …