Whilst discharge summaries are important for ensuring patient continuity of care, they often lack important information. Medical students and newly qualified doctors have attributed this to insufficient teaching, thereby indicating a need to improve discharge summary education within the undergraduate medical curriculum. The aim was to review educational approaches used to prepare undergraduate medical students for discharge summary writing, and their effectiveness Medline and Scopus were systematically searched using keywords, for studies published between 2009 and 2019. Narrative synthesis was used to integrate the findings of the included studies. Study quality was appraised using the Medical Education Research Study Quality Instrument. Six studies were included in this review. Allowing students to write a discharge summary following a real patient encounter and receive written feedback was the most common educational approach used (n = 4). Three of these studies improved student attitudes towards discharge summary writing. One study described the use of a mobile application, which improved discharge summary quality. Another study utilized interprofessional learning but the effect was statistically insignificant. Medical Education Research Study Quality Instrument scores were satisfactory (mean = 12, range = 8.4-15). The literature concerning this topic is limited. The results indicate that providing written feedback to students can positively influence attitudes towards discharge summary writing. Optimisation of the quality of discharge summaries written by medical students using feedback and checklists requires further investigation, as does the use of interprofessional learning. Future studies would additionally benefit from including participant baseline data and control groups, being multicentred and measuring behavioural or patient/healthcare outcomes.
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http://dx.doi.org/10.1007/s11845-020-02325-0 | DOI Listing |
World J Gastrointest Surg
January 2025
Department of Gastrointestinal Surgery, The First Hospital of Hebei Medical University, Shijiazhuang 050023, Hebei Province, China.
Background: Jejunal diverticula (JD) are rare clinical conditions that are typically incidentally detected and asymptomatic. When acute complications arise, surgical exploration may be necessary for accurate diagnosis and appropriate treatment. In this report, we present a case of multiple JD complicated by gastrointestinal bleeding and review the pathogenesis, diagnosis, and treatment of JD to increase clinician awareness of this condition.
View Article and Find Full Text PDFIn the context of Chinese clinical texts, this paper aims to propose a deep learning algorithm based on Bidirectional Encoder Representation from Transformers (BERT) to identify privacy information and to verify the feasibility of our method for privacy protection in the Chinese clinical context. We collected and double-annotated 33,017 discharge summaries from 151 medical institutions on a municipal regional health information platform, developed a BERT-based Bidirectional Long Short-Term Memory Model (BiLSTM) and Conditional Random Field (CRF) model, and tested the performance of privacy identification on the dataset. To explore the performance of different substructures of the neural network, we created five additional baseline models and evaluated the impact of different models on performance.
View Article and Find Full Text PDFDiagnostics (Basel)
January 2025
Department of Orthopedics, Trauma Surgery and Rehabilitative Medicine, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, 17471 Greifswald, Germany.
: Clavicle injuries are common and seem to be frequently subject to diagnostic misclassification. The accurate identification of clavicle fractures is essential, particularly for registry and Big Data analyses. This study aims to assess the frequency of diagnostic errors in clavicle injury classifications.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
RAND Health, RAND, Boston, Massachusetts.
Importance: Long-term nursing home stay or death (long-term NH stay or death), defined as new long-term residence in a nursing home or death following hospital discharge, is an important patient-centered outcome.
Objective: To examine whether the COVID-19 pandemic was associated with changes in long-term NH stay or death among older adults with sepsis, and whether these changes were greater in individuals from racial and ethnic minoritized groups.
Design, Setting, And Participants: This cross-sectional study used patient-level data from the Medicare Provider Analysis and Review File, the Master Beneficiary Summary File, and the Minimum Data Set.
J Med Syst
January 2025
Department of Neurological Surgery, Thomas Jefferson University, Philadelphia, PA, USA.
Large language models (LLMs) have been utilized to automate tasks like writing discharge summaries and operative reports in neurosurgery. The present study evaluates their ability to identify current procedural terminology (CPT) codes from operative reports. Three LLMs (ChatGPT 4.
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