Objective: This study investigated the perceived impact of electronic health records (EHR) on otolaryngology residents with regard to education, patient care, and workflow, and then compared the trends with those of practicing otolaryngologists.
Methods: A descriptive, cross-sectional survey was developed for each core study group: the otolaryngology resident group (ORG) and the practicing otolaryngologist group (POG). In total, 536 surveys were submitted: 33 from the ORG survey and 510 from the POG survey. Response rates were 51.5% and 21.3%, respectively.
Results: Within the two study groups, ORG reported a predominately neutral response relating to the impact of EHR on experience compared with the POG, which reported far more negative responses. The most negative reported change in the ORG related to feeling more like a passive observer and scribe in terms of how EHR negatively impacted the role of resident. Within the POG group, the majority of negative responses were recorded on the impact of EHR on practice efficiency, practice overhead, and number of employees required to maintain practice function.
Conclusion: With otolaryngologists making up 1.1% of the U.S. physician workforce in 2015, it is likely that software programing of EHR underrepresents the workflow needs of otolaryngologists at this time. Future studies investigating the impact of EHR on otolaryngology patient care and resident education are needed in the future. Laryngoscope, 128:2726-2731, 2018.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1002/lary.27273 | DOI Listing |
Infect Control Hosp Epidemiol
January 2025
Department of Biostatistics and Data Science, Wake Forest University, School of Medicine, Medical Center Blvd, Winston-Salem, NC27157, USA.
Objective: Environmental features of a patient's room depend on the patient's level of acuity and their clinical manifestations upon admission and during their hospital stay. In this study, we wish to apply statistical methodology to explore the association between room features and hospital onset infections caused by (HO-CDI) while accounting for room assignment.
Method: We conducted a nested case-control study using retrospective electronic health record (EHR) data of patients hospitalized at the Ohio State University Wexner Medical Center (OSUWMC) between January 2019 and April 2021.
MedEdPORTAL
January 2025
Associate Professor, Internal Medicine, Oregon Health & Science University School of Medicine; Portland Veterans Administration Hospital.
Introduction: High-value cost-conscious care (HVCCC) education has been shown to reduce wasteful health care spending. Incorporating HVCCC into a medical school curriculum can be challenging due to limited curricular time. We explored the feasibility of medical students creating HVCCC peer education within existing platforms at a single urban academic medical school.
View Article and Find Full Text PDFFront Med (Lausanne)
January 2025
Clinical Informatics Fellowship Program, Baylor Scott & White Health, Round Rock, TX, United States.
Generative artificial intelligence (GenAI) is rapidly transforming various sectors, including healthcare and education. This paper explores the potential opportunities and risks of GenAI in graduate medical education (GME). We review the existing literature and provide commentary on how GenAI could impact GME, including five key areas of opportunity: electronic health record (EHR) workload reduction, clinical simulation, individualized education, research and analytics support, and clinical decision support.
View Article and Find Full Text PDFJ Psoriasis Psoriatic Arthritis
January 2025
Department of Dermatology, University of Utah School of Medicine, Salt Lake City, UT, USA.
Background: Generalized pustular psoriasis (GPP) is a rare, chronic, often unpredictable, severe multisystemic autoinflammatory skin disease from which patients can experience flares, episodes of widespread eruptions of painful, sterile pustules often accompanied by systemic symptoms. The impact of GPP flares and underlying GPP severity on the healthcare resource utilization (HCRU) is not well characterized.
Objective: To quantify HCRU among US GPP patients by flare status and underlying severity.
Qual Manag Health Care
January 2025
Author Affiliations: Source Healthcare, Santa Monica, California.
Background And Objectives: Retrospective studies examining errors within a surgical scheduling setting do not fully represent the effects of human error involved in transcribing critical patient health information (PHI). These errors can negatively impact patient care and reduce workplace efficiency due to insurance claim denials and potential sentinel events. Previous reports underscore the burden physicians face with prior authorizations which may lead to serious adverse events or the abandonment of treatment due to these delays.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!