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Clinical Areas

Scroll down to search or browse using Clinical Area if you would like to explore PSNet by the healthcare profession, such as the nurse care or medical specialty, featured in the resources.

Latest by Clinical Areas

Language discordance and patient care-Babel.
Huson TA. JAMA Intern Med. 2024;184:1287-1288.

Equitable, safe health care is affected by myriad socioeconomic factors. This commentary describes a near miss involving a mother who was unable to share concerns about her infant’s health due to language... Read More

Technology, Education and Safety.
Harbell MW, ed. Curr Opin Anaesthesiol. 2024;37:666-742.

Despite consummate efforts to improve safety, errors still occur in anesthesiology. This special collection covers a range of topics affecting safe care in the specialty, including pain management, incident reporting,... Read More

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Displaying 221 - 240 of 16483 Results
Displaying 221 - 240 of 16483 Results
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    • Review
    The impact of burnout on paediatric nurses' attitudes about patient safety in the acute hospital setting: a systematic review.
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    • Flynn C, Watson C, Patton D, et al. J Pediatr Nurs. 2024;Epub Jul 16.
    Burnout is often referred to as a psychological syndrome, characterized by feelings of energy depletion, dissociation from one's work or cynicism regarding one's job, and a reduction in professional efficacy. This review highlights the association of pediatric nurses' burnout and perceptions of patient safety. The studies showed a negative association between burnout and/or its individual components and safety attitude scoring and job satisfaction. Only four studies were identified, highlighting the need for more research into the emotional well-being of pediatric nurses.
    Study
    Artificial intelligence in anesthetic care: a survey of physician anesthesiologists.
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    • Estrada Alamo CE, Diatta F, Monsell SE, et al. Anesth Analg. 2024;138(5):938-950.
    As interest in artificial intelligence (AI) in healthcare is increasing, clinician attitudes towards its integration are important to understand. In this study, about half of surveyed physician anesthesiologists had a positive attitude towards using AI in clinical practice and a similar proportion were curious about its use. Concerns included lack of transparency in AI algorithms, potential decreased earnings, and malpractice claims.
    Study
    High reliability in a safety net hospital leading to operational excellence.
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    • Didion L, Whitfield C, Bishop P, et al. J Patient Saf. 2024;20(5):375-380.
    Health systems are increasingly aiming to become high reliability organizations. This safety net hospital established systems for high reliability through leadership, safety culture, and robust process improvement with targeted areas for improvement in patient outcomes, public reputation, and lower cost of care. Patient outcomes (e.g., reduction in hospital-acquired infections) improved, which subsequently improved Hospital Compare star ratings. Efforts to achieve lower costs of care continue with improved efficiency of care and educating all clinicians on their contributions to hospital finances.
    Study
    Developing, implementing, evaluating electronic apparent cause analysis across a health care system.
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    • Oster CA, Woods E, Mumma J, et al. Jt Comm J Qual Patient Saf. 2024;50(10):724-736.
    Investigating safety events can help healthcare organizations improve systems and processes to prevent future incidents. This article describes the development of an electronic apparent cause analysis (eACA) tool, which combines features from high reliability, human factors engineering, and just culture, to investigate and learn from near-miss safety events or events resulting in minimal harm.
    Review
    Instruments and warning signs for identifying and evaluating the frequency of adverse events in intermediate and long-term care centres: a narrative systematic review.
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    • Malgrat-Caballero S, Kannukene A, Orrego C. J Healthc Qual Res. 2024;39(5):315-326.
    Residents of long-term care facilities are particularly vulnerable to patient safety risks. This systematic review including 66 studies evaluated tools used to identify adverse events in intermediate and long-term care centers (ILCCs). The authors found that most tools are designed to identify specific adverse events or safety risks (such as medication errors, falls, or infections). Common adverse events impacting this population include adverse drug events, delirium, malnutrition, pressure ulcers, and infections.
    Book/Report
    Patient Safety Research Summaries.
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    • Rockville, MD: Agency for Healthcare Research and Quality; 2023-2024. 

    The application of evidence in real situations helps to embed innovation across systems and sustain care improvement. This collection of project highlight reports shares descriptions of implementation projects and research funded by AHRQ. The latest report examines programs that have sought to improve medication safety.
    Review
    Sepsis alert systems, mortality, and adherence in emergency departments: a systematic review and meta-analysis.
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    • Kim H-J, Ko R-E, Lim SY, et al. JAMA Netw Open. 2024;7(7):e2422823.
    Early detection and management of sepsis is an important patient safety target. This systematic review included 22 studies and examined the use of sepsis alert systems in the Emergency Department (ED) on patient outcomes. The researchers found that sepsis alert systems were associated with reduced risk of mortality and decreased length of stay, as well as increased adherence to sepsis management guidelines, such as timely administration of antibiotics.
    Study
    Improving appropriate use of peripherally inserted central catheters through a statewide collaborative hospital initiative: a cost-effectiveness analysis.
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    • Heath M, Bernstein SJ, Paje D, et al. Jt Comm J Qual Patient Saf. 2024;50(8):591-600.
    Quality improvement and patient safety projects can be costly to implement. This article describes the cost-effectiveness of the Michigan Hospital Medicine Safety Consortium (HMS) quality improvement project to reduce peripherally inserted central catheter (PICC) complications. PICC complications decreased significantly over the 7-year project, and each participating hospital averaged $932,000 in cost-offset. The HMS PICC Use Initiative is highlighted on the PSNet Innovations page.
    Study
    Enhancing patient safety in prehospital environment: analyzing patient perspectives on non-transport decisions with natural language processing and machine learning.
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    • Farhat H, Alinier G, Tluli R, et al. J Patient Saf. 2024;20(5):330-339.
    Artificial intelligence (AI) is increasingly used to interpret and summarize large volumes of free text. This novel study used AI techniques natural language processing (NLP), machine learning (ML), and sentiment analysis (SA) to learn more about why patients decline transport to hospital after receiving prehospital emergency care. Three-quarters of patients who declined transport said they “felt better.” Of the remaining patients, negative sentiments, such as "afraid" and "hospital," were observed.
    Newspaper/Magazine Article
    Older adults are often misdiagnosed. Specialized ERs and trained clinicians can help.
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    • Milne-Tyte A. Health Shots. National Public Radio. July 30, 2024;
    Missed or delayed diagnosis in older people is a problem fed by clinical and social complexities. This story discusses the need for geriatricians, geriatric emergency rooms, or special training for physicians in caring for older patients. A team-based approach is valued to improve diagnosis for elderly patients, address age bias, and enhance care processes for this substantial patient population.
    Press Release/Announcement
    FDA alerts health care providers, compounders and patients of dosing errors associated with compounded injectable semaglutide products.
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    • July 26, 2024;
    Patient-administered medications can lead to a variety of errors that have the potential to harm. This announcement raises awareness of the potential for dosing errors due to measurement mistakes of injectable medications and reviews reported adverse events and hospitalizations associated with the errors.
    Meeting/Conference Proceedings
    Diagnosis in the Era of Digital Health and Artificial Intelligence: A Workshop.
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    • Washington DC: National Academies of Sciences, Engineering and Medicine; July 25, 2024.

    Digital health is emerging as a primary technological component of health care. This workshop explored policy and research topics  on the role of artificial intelligence (AI) in diagnosis. Participants examined steps to improve the development and deployment of AI algorithms that ensure the equitable, secure, and safe diagnostic use of the technology.
    Book/Report
    Documenting Diagnosis: Exploring the Impact of Electronic Health Records on Diagnostic Safety.
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    • Miller K, Ratwani R, Hose B-Z, et al. Rockville, MD: Agency for Healthcare Research and Quality; August 2024. AHRQ Publication No. 24-0010-3-EF
    Electronic health records are engrained in healthcare delivery systems to support data sharing and clinical decision-making. This issue brief explores the importance of documentation, legislation supporting its quality, and reasons its improvement contributes to the value and safety of care. This publication is part of a series on diagnostic safety.
    Special or Theme Issue
    Cultivate discussions in a psychologically safe workplace: part 1 and part II.
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    • ISMP Medication Safety Alert! Acute Care. July 11, 2024;29;(14):1-3; July 25, 2024;29(15):1-5.

    Psychological safety is core to the effective sharing of operational and clinical concerns. This two-part newsletter article discusses tactics to establish an environment where trust is evident and the importance of creating safe spaces for after-event root cause analysis discussions.
    Review
    Frequency and characteristics of errors by artificial intelligence (AI) in reading screening mammography: a systematic review.
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    • Zeng A, Houssami N, Noguchi N, et al. Breast Cancer Res Treat. 2024;207(1):1-13.
    Artificial intelligence (AI) is increasingly used in radiology to support cancer screening. This systematic review examined the frequency of errors when using artificial intelligence for reading breast screening mammograms. Based on seven included studies, the researchers found that the test performance of AI algorithms used to read screening mammograms varied, and AI errors were infrequently reported.
    Study
    Association of patient photographs and reduced retract-and-reorder events.
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    • Rzewnicki D, Kanvinde A, Gillespie S, et al. JAMIA Open. 2024;7(3):ooae042.
    Patient misidentification can lead to serious patient safety risks. In this study, conducted at one pediatric hospital system, the presence of a patient photograph in the electronic health record (EHR) associated with a 40% reduction in the odds of retract-and-reorder events, a surrogate measure of wrong-patient order entry
    Commentary
    Fixing patient safety: are we nearly there yet?
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    • McCulloch P. BMJ Qual Saf. 2024;33(8):539-542.
    Human factors and ergonomics are widely used in high-risk industries, such as aviation, to promote safety. This article summarizes ongoing challenges in the use of human factors and ergonomics to address patient safety threats in the UK’s National Health Service (NHS) such as organizational pressures or lack of leadership support.
    Study
    Associations between negative patient safety climate and infection prevention practices.
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    • Johnson CT, Hessels AJ. Am J Infect Control. 2024;52(9):1102-1104.
    A positive safety climate is associated with greater adherence to patient safety practices. This multi-site study evaluated the association of a negative safety climate with observed and reported standard precaution (SP) adherence. A perceived negative safety climate was associated with poor adherence to several, but not all, SP practices.
    Review
    Using machine learning or deep learning models in a hospital setting to detect inappropriate prescriptions: a systematic review.
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    • Johns E, Alkanj A, Beck M, et al. Eur J Hosp Pharm. 2023;31(4):289-294.
    Artificial intelligence (AI) is a promising approach to improving patient safety. This review aimed to summarize research on integration of AI to detect inappropriate medication ordering in hospitals. The size, aim, and AI model varied widely, preventing comparisons across studies. Further research should involve clinical pharmacists as they will be the end users of these AI tools.
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