Patient Safety

Patient safety has evolved into a fundamental discipline focused on preventing avoidable harm to individuals receiving healthcare. Over the last two decades, understanding has shifted from attributing adverse events to individual failings to viewing errors as consequences of complex system interactions and human factors. Efforts now emphasise the design of high-reliability organisations and the cultivation of a safety culture in which staff can report near-misses without blame. Technological advances—including electronic prescribing, bar-code medication administration and real-time surveillance—are being coupled with process simplification, standardised protocols and teamwork training to intercept hazards before they reach the patient. Robust incident-reporting systems, early-warning scores and artificial-intelligence tools also support earlier detection of clinical deterioration, while sustained leadership commitment and interprofessional collaboration underpin system resilience. Achieving consistently safe care demands continuous learning from both success and failure, transparent communication with patients when harm occurs, and integration of patient safety principles in every aspect of organisational governance and frontline practice.

Research from Nature Portfolio

Large-language models fine-tuned with expert annotations have been shown to reduce medication-direction errors in pharmacy practice. By extracting key prescription components and reassembling them under safety guardrails, these systems cut near-miss events by a third when integrated into an online pharmacy workflow. In parallel, the deployment of real-time early-warning systems, driven by nursing surveillance data, has demonstrated dramatic impacts on inpatient outcomes. In a multicentre trial, units using these algorithms experienced over 35% lower instantaneous mortality risk and reduced length of stay, highlighting the promise of machine-learning–enabled surveillance to pre-empt clinical deterioration and guide timely intervention.

Research from all publishers

An interrupted time–series evaluation of a full-scale digital transformation in an acute hospital revealed a 40% drop in voluntarily reported medication incidents and a three-fold decrease in procedural and dosing errors following implementation of electronic prescribing and integrated health records. Complementing this, studies of clinical decision-support alerts have identified that reducing repeat or low-value warnings can mitigate alert fatigue; physicians were markedly less likely to override high-value alerts as work complexity rose, and eliminating within-patient duplicates sustained clinician responsiveness. A foundational meta-analysis spanning multiple hospital settings estimated that the introduction of computerised provider order entry systems halved the rate of preventable adverse drug events and medication errors, regardless of system origin or decision-support sophistication, and that benefits were most pronounced where baseline error rates were highest, underscoring the enduring value of electronic order entry.

Patient Safety publication trend

The graph below shows the total number of articles in patient safety across all publications each year (not limited to Nature Index journals).

Technical terms

High-reliability organisation (HRO): An entity that operates in complex, high-risk environments yet maintains a low rate of adverse events by emphasising preoccupation with failure, deference to expertise and resilience.

Human factors: The study of how humans interact with elements of a system, aiming to optimise processes, machines and environments to reduce the likelihood of error.

Alert fatigue: A decline in clinician responsiveness to safety alerts within electronic systems, caused by high frequency or low relevance of warnings.

Bar-code medication administration (BCMA): A technology that scans patient and drug barcodes at the bedside to confirm correct medication, dose and patient identity before administration.

Computerised provider order entry (CPOE): An electronic system for entering and transmitting medication orders and other clinical directives, replacing handwritten or verbal requests.

References

1. Large language models for preventing medication direction errors in online pharmacies. Nature Medicine (2024).
2. Real-time surveillance system for patient deterioration: a pragmatic cluster-randomized controlled trial. Nature Medicine (2025).
3. The impact of transition to a digital hospital on medication errors (TIME study). npj Digital Medicine (2023).
4. Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system. BMC Medical Informatics and Decision Making (2017).
5. The effectiveness of computerized order entry at reducing preventable adverse drug events and medication errors in hospital settings: a systematic review and meta-analysis. Systematic Reviews (2014).
6. Concepts of Patient Safety.