Glossary term

Patient Safety

Engineering outcome in which medical technology, workflows, controls, and evidence reduce avoidable patient harm.

Definition

concept

Patient safety is the engineering and clinical outcome of reducing avoidable harm to patients during diagnosis, monitoring, treatment, support, or care delivery.

In biomedical engineering, patient safety connects device design, risk controls, usability, alarms, electrical safety, sterilization, maintenance, software behavior, clinical workflow, evidence, and field feedback. It is not only a regulatory objective; it is a design constraint that must remain valid during real use.

Patient safety is the reduction of avoidable harm during diagnosis, monitoring, therapy, surgery, rehabilitation, or care delivery. For biomedical engineers, it is the result of design choices, risk controls, evidence, maintenance, training, and clinical workflow working together.

A device can meet a bench specification and still create patient risk if alarms are confusing, accessories are incompatible, cleaning is unclear, software states are ambiguous, measurements are biased, or maintenance is skipped. Patient safety therefore has to be reviewed across the full use environment.

Engineering use

Patient-safety review supports medical device design, clinical engineering, hospital technology management, verification, validation, usability engineering, alarms, infection control, electrical safety, software updates, and incident investigation.

The review should connect hazards to specific controls and evidence. Controls may include design features, interlocks, limits, labels, alarms, training, maintenance procedures, sterilization processes, acceptance tests, and post-market feedback.

Common mistakes

A common mistake is treating patient safety as a checklist after the design is finished. Another is focusing only on device failure while ignoring misuse, workflow, accessories, environment, and maintenance. A strong patient-safety review states the intended use, patient population, users, hazards, risk controls, residual risk, validation evidence, and feedback triggers.

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See also