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Algorithmic bias refers to the biases originating from the use of artificial intelligence (AI). With AI being increasingly used in healthcare, clinicians need to be able [...]

This literature review identifies and organizes potential biases when using data from electronic health records (EHRs) for secondary research.

Black and white photographic portrait of Catherine Brown, Director of OHSU Risk Management.

Electronic medical record alerts and reminders are increasingly relied upon as a means of decreasing medical errors and increasing the quality and cost-effectiveness of c [...]

Chemotherapy, the prescription and administration of drugs to cancer patients, has traditionally been prescribed according to standard protocols through paper-based syste [...]

In 2020 alone, there were 1,603,844 new cancer cases reported in the United States, with 602,347 resulting in death (Cancer Data and Statistics, 2023). Currently, at the [...]

Electronic health record (EHR) systems provide a means of tracking a broad range of patient health information including demographics, progress notes, problems, medicatio [...]

Electronic medical record systems (EMRs) are being increasingly used as a means of reducing medical errors while increasing the quality of care. Kaiser Permanente Northw [...]

Medication errors and adverse drug events ADE are a constant challenge for healthcare providers. The fast-paced and unpredictable setting of an emergency department is es [...]