Background: The completeness of hospital discharge summaries may reflect the overall quality of inter-professional communications. The effect of reducing resident workload on clinical performance is largely unknown.
Objective: We examined the impact of reducing housestaff workload on the quality of discharge summaries, an indicator of clinical performance, as compared to discharge summaries created by trainees on a team with a more typical workload.
Design: Patients admitted to a medicine service at a community teaching hospital affiliated with an academic medical center were alternately allocated between a control and intervention care team of residents. First-year residents on the intervention team carried an average census of 3.5 patients compared with 6.6 patients for peers on the control team. A random selection of 142 discharge summaries from a 3-month period were blindly evaluated using a structured tool based on professional documentation standards.
Participants: 61 internal medicine residents.
Main Results: Inter-rater reliability of discharge summary quality was 0.9. Discharge summaries produced by residents on the intervention team with a reduced workload had significantly more of the required elements (74 vs 65%, p<0.001). Intervention team summaries were more frequently complete and contained significantly more of the required elements describing the patient history (65.7% vs 36.1%, p=0.0005), the inpatient narrative (47.1% vs 22.2%, p=0.003), discharge planning (20.0% vs 5.5%, p=0.012), and continuity of care (24.3% vs 6.9%, p=0.005). Fewer than a quarter of the summaries reviewed included discharge instructions, information on follow-up care, or a discharge medication list.
Conclusions: Reducing resident workload can significantly improve discharge summary quality, a measure of resident performance.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3024111 | PMC |
http://dx.doi.org/10.1007/s11606-010-1465-z | 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.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!