Ranking Quality and Patient Safety Challenges: A Nationwide Survey of Healthcare Quality Experts From General Hospitals in Spain

Associations of wrong surgery with other critical healthcare quality and patient safety challenges: a cross-sectional nationwide study of 100 general hospitals in Spain

Wrong surgery (wrong-site, wrong-procedure, or wrong-patient surgery) is among the most feared patient safety problems in hospitals. We aimed to evaluate associations between numeric assessment of risk assigned to wrong surgery with that of other healthcare quality and patient safety challenges. This nationwide study collected information from healthcare quality experts in charge of a clinical quality and/or patient safety department in general hospitals of ≥ 150 beds in Spain. Out of the 100 included hospitals, the highest strength of associations were observed with risk priority number (RPN) for hospital-acquired pressure ulcers, RPN for venous thromboembolism in hospitalized patients, RPN for incorrect patient identification, RPN for lack of informed consent for diagnostic or therapeutic procedures, RPN for catheter-related bacteremia, and RPN for adverse events and injuries due to medical devices related to use and/or design. These results are of potential interest for designing combined and coordinated strategies to improve patient safety in hospitals.

Root causes of adverse drug events in hospitals and artificial intelligence capabilities for prevention

AIMS

To identify and prioritize the root causes of adverse drug events (ADEs) in hospitals and to assess the ability of artificial intelligence (AI) capabilities to prevent ADEs.

DESIGN

A mixed method design was used.

METHODS

A cross-sectional study for hospitals in Spain was carried out between February and April 2019 to identify and prioritize the root causes of ADEs. A nominal group technique was also used to assess the ability of AI capabilities to prevent ADEs.

RESULTS

The main root cause of ADEs was a lack of adherence to safety protocols (64.8%), followed by identification errors (57.4%), and fragile and polymedicated patients (44.4%). An analysis of the AI capabilities to prevent the root causes of ADEs showed that identification and reading are two potentially useful capabilities.

CONCLUSION

Identification error is one of the main root causes of drug adverse events and AI capabilities could potentially prevent drug adverse events.

IMPACT

This study highlights the role of AI capabilities in safely identifying both patients and drugs, which is a crucial part of the medication administration process, and how this can prevent ADEs in hospitals.