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The PSNet Collection: All Content

The AHRQ PSNet Collection comprises an extensive selection of resources relevant to the patient safety community. These resources come in a variety of formats, including literature, research, tools, and Web sites. Resources are identified using the National Library of Medicine’s Medline database, various news and content aggregators, and the expertise of the AHRQ PSNet editorial and technical teams.

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Displaying 1 - 20 of 40 Results

Arnal-Velasco, D, ed. Curr Opin Anaesthesiol. 2023;36(6):649-705.

Adoption of new ideas is necessary to create safety in the perioperative environment. This collection of reviews illustrates relationships and tensions between technology, human factors and safety management that create the sociotechnical system within which technology is used to deliver anesthesia. Topics covered include artificial intelligence, decision making and perioperative deterioration.
Ryan AN, Robertson KL, Glass BD. Int J Clin Pharm. 2023;Epub Sep 9.
Look-alike medications can cause confusion and contribute to medication administration errors. This scoping review including 18 articles identified several risk reduction strategies to mitigate look-alike medication errors in perioperative settings, such as improved labelling and standardization of storage. The authors note that further research is needed to assess the effectiveness of technology-based solutions, such as automated dispensing cabinets.
Christensen SM, Andrews SR, Fox ER. Am J Health Syst Pharm. 2023;80 :S119-S122.
To maximize safety benefits of smart infusion pumps, drug libraries between the pump, electronic health record (EHR) and pharmacy must be standardized. This article describes the proactive standardization between drug libraries for continuous infusions, including medication names, concentrations, and pump rates. 82 updates were required across the three libraries.
AMA J Ethics. 2023;25:E615-E623.
The safety culture of an operating room is known to affect teamwork and patient outcome. This article discusses the unique characteristics of robotic-assisted surgical practice and approaches teams and organizations can take to enhance communication that supports a safe care culture.
Ojeda IM, Sánchez-Cuervo M, Candela-Toha Á, et al. Crit Care Nurs. 2023;43:30-38.
High-alert medications can cause serious patient harm if administered incorrectly. This article describes a quality improvement project to reduce medication errors involving high-alert sedative and analgesic medications in the intensive care unit (ICU) through use of protocolized and centralized smart intravenous infusion pump technology. Use of the protocolized software led to the interception of nearly 400 infusion-related programming errors.
Estock JL, Codario RA, Keddem S, et al. Diabetes Technol Ther. 2023;25:343-355.
Insulin pump malfunctions are a known contributor to adverse events. This study used six months of adverse events reported to the Food and Drug Administration's (FDA) Manufacturer and User Facility Device Experience (MAUDE) database to identify root causes and consequences of errors associated with insulin pump malfunctions. Hyper- and hypoglycemia were the most common clinical consequences of the malfunction; only half of the reports identified a potential root cause.

Pharmacy Practice News Special Edition. December 13, 2022: 43-54.

Medication errors continue to occur despite long-standing efforts to reduce them. This article summarizes types of errors submitted to the Institute for Safe Medication Practices reporting program in 2021. The piece discusses the medications involved, recommendations for improvement, and technologies to be employed to minimize error occurrence.
Sutherland A, Jones MD, Howlett M, et al. Drug Saf. 2022;45:881-889.
Intravenous (IV) medication smart pumps can improve medication administration, but usability issues can compromise safety. This article outlines strategic recommendations regarding the implementation of smart pump technology to improve patient safety. Recommendations include standardization of infusion concentrations, improving drug libraries using a human-centered approach, and increasing stakeholder engagement.

ISMP Medication Safety Alert! Acute care edition. October 20, 2022;20(21):1-5.

Errors due to inadequate information use with intravenous smart pumps are a safety concern. This article discusses factors that contribute to medication errors and smart pumps, which include out-of-date drug libraries, omitted dose limits, and variable rate infusions. Recommendations for improvement include the creation, testing, and updating of drug libraries.
Sutherland A, Gerrard WS, Patel A, et al. BMJ Open Qual. 2022;11:e001708.
Smart pump software can improve medication safety but can also introduce patient safety hazards, such as alert fatigue. In this study, dose error reduction software (DERS) was implemented across two large UK National Health Service (NHS) institutes for one year. Findings indicate that compliance with DERS was 45%, but across one year of implementation, severe harm or death was avoided in up to 110 patients.
Messing EG, Abraham RS, Quinn NJ, et al. Am J Nurs. 2022;122.
When hospitals began to fill up with COVID-19 patients, new strategies had to be developed and implemented quickly to reduce the spread of the virus. This article describes one strategy implemented by a New York hospital: relocating smart intravenous (iv) infusion pumps outside of patient rooms. Challenges, facilitators, and lessons learned are discussed.
Marufu TC, Bower R, Hendron E, et al. J Pediatr Nurs. 2022;62:e139-e147.
Medication errors threaten patient safety and can result in adverse outcomes. This systematic review identified seven types of nursing interventions used to reduce medication administration errors in pediatric and neonatal patients: education programs, medication information services, clinical pharmacist involvement, double checking, barriers to reduce interruptions during drug calculation and preparation, use of smart pumps, and improvement strategies (e.g., checklists, process or policy changes). Meta-analysis pooling results from various types of interventions demonstrated a 64% reduction in medication administration errors.
Wei W, Coffey W, Adeola M, et al. Am J Health Syst Pharm. 2021;78:s105–s110.
Smart pumps can improve medication safety, but barriers such as workarounds and alert fatigue can limit their effectiveness. After implementing smart pumps with an electronic health record (EHR) system, this community hospital saw increased drug library compliance and fewer infusions generating alerts.
MedWatch Safety Alert. Silver Spring, MD: US Food and Drug Administration; August 20, 2021.
This announcement seeks to raise awareness of the potential risks associated with the use of robotic-assisted surgical devices in mastectomies or cancer-related care. Recommendations for patients who may seek to have robotically assisted surgery include asking about their surgeon's experience with these procedures and discussing benefits, risks, and alternatives regarding available treatment options with their health care provider. Suggestions for health care providers include completing specialized training on procedures they perform. A WebM&M commentary described the challenges and benefits associated with robotic surgery.
Ni Y, Lingren T, Huth H, et al. JMIR Med Inform. 2020;8:e19774.
Interoperability of smart pumps and electronic health record (EHR) systems can improve clinical data accuracy. This study evaluated the utility of harmonizing EHR data and smart pump records (SPRs) in detecting medication administration errors in one neonatal intensive care unit (NICU). The authors found that compared with medication administration records, dosing discrepancies were more commonly detectable using integrated SPRs, which suggests that this approach may be a more reliable data source for medication error detection.
Waterson J, Al-Jaber R, Kassab T, et al. JMIR Hum Factors. 2020;7:e20364.
Smart pumps are considered a valuable method to improve medication safety. This study used smart pump medication logs and reporting software to identify cancelled infusions and resolutions of infusions alerts to characterize near-miss infusion pump errors. The study identified a high number of lookalike-soundalike near-miss errors. Analyses indicate that incorrect medication and wrong dose selections account for approximately 22% of all cancelled infusions.
Kirkendall ES, Timmons K, Huth H, et al. Drug Saf. 2020;43:1073-1087.
This systematic review catalogued and mapped the types of human errors related to smart pumps and associated error-prevention strategies. Error categories included (1) undocumented errors, (2) drug library errors, (3) programming errors, (4) administration errors, and (5) ancillary equipment errors. The authors mapped these errors to existing, standardized medication error classification and found that some errors (e.g., drug library errors) are introduced by the implementation of smart pump technology and some may be the result of workarounds. A range of prevention strategies were identified and mapped to the error types. These findings can serve as a toolkit for clinical use and development of best practices.  
Hsu K-Y, DeLaurentis P, Bitan Y, et al. J Patient Saf. 2019;15:e8-e14.
Smart infusion pumps store drug safety information, but this data must be periodically updated. This study demonstrated significant delays in updating the drug information for smart infusion pumps. These delays resulted in failure to alert for two high-risk medication cases, but neither case led to patient harm.
Rodriguez-Gonzalez CG, Herranz-Alonso A, Escudero-Vilaplana V, et al. J Eval Clin Pract. 2019;25:28-35.
Pharmacy robots are now commonly used in hospitals for dispensing medications. Conducted at a Spanish hospital, this study found that use of pharmacy robots reduced medication dispensing errors and improved staff efficiency. The role of a pharmacy robot in a serious medication error is explored in a book that examined the effects of technological change on the health care system.

Loh E. BMJ Leader. 2018;2(2):59-63.

Artificial intelligence (AI) can improve diagnostic accuracy. Despite early enthusiasm for the utility of AI at the front line, some have raised concerns associated with legal liabilities and ethical issues. This review discusses these considerations and suggests approaches that leaders and clinicians should embrace to prepare for future integration of AI systems in practice.