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Large-scale electronic health record (EHR) implementation projects encompass a myriad of problems to navigate to arrive at success. This Congressional panel explores challenges experienced during EHR implementation in the VA Health system. Panelists from the Veterans Administration, the investigator and the technology vendor involved in the program shared insights and next steps to direct improvement.

Preventable maternal morbidity is an ongoing challenge in the United States. This infographic shares general data and statistics that demonstrate the presence of racial disparities in maternal care that are linked to structural racism. The resource highlights several avenues for improvement such as diversification of the perinatal staffing and increased access to telehealth.

Technological solutions harbor unique risks that can result in patient harm. This article shares a response to reports of automated dispensing cabinet (ADC) menu selection limitations that contribute to mistakes. The piece suggests the implementation of a 5-letter search requirement prior to removing a medication from an ADC. It provides an update on industry response to this forcing function recommendation.

Electronic health record (EHR) implementation failures cause major disruptions to care delivery that can result in inefficiencies, misinformation, and unsafe care. This three-part investigation examines the impact of the new United States Veterans Affairs EHR system problems on medication management, care coordination, and problem reporting and resolution at one facility.

Criminalization of medical mistakes typifies the blame-focused approach patient safety leaders have worked to reduce in health care. This article covers a high-profile case of medication error involving an automated dispensing system that is ubiquitous in health care.

Artificial intelligence and machine learning are often promoted as tools with impressive potential for generating rapid improvements in healthcare decision making. This news story highlights how underlying problems and testing failures limit the trustworthiness of conclusions drawn by the systems.

Race-adjusted decision making tools perpetuate the potential for diagnostic error and care delay. This article examines race correction as a form of bias in health care and discusses efforts to reduce the use of race-adjusted algorithms.

The unintended consequences of artificial intelligence (AI) in healthcare continue to generate clinician concern. This magazine piece examines the potential diagnostic improvements to be realized from AI while cautioning about its premature use generating overdiagnosis and overtreatment.

Electronic health records (EHR) optimize information functions in care environments while paradoxically introducing inefficiencies and opportunities for error due to usability problems. This series of videos draws from usability research to illustrate how ineffective EHR design can reduce the safety and reliability of care processes that rely on these systems.