The present study examined the influence of a computerized medical record summary system on incidence and length of hospitalization. Additional indicators of process of care were also considered. A prospective, randomized design was used where 241 experimental patients had a computerized medical record summary and 238 control patients had the traditional medical record. All patients were followed and compared over a two-year period. Although no difference in incidence of hospitalization was found between patients with and without the summary, during the second year, patients with summaries spent fewer days in the hospital. Patients with summaries also had more completed referrals for consultation, assigned diets, detected new problems and diagnostic tests on record than patients without the summary.
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http://dx.doi.org/10.1097/00005650-197906000-00006 | DOI Listing |
West Afr J Med
September 2024
Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Background: Patient satisfaction is an essential indicator used for measuring the quality of health care delivered to a patient and contributes to strategies for the improvement of healthcare delivery. This study assessed patients' satisfaction with the quality of care at the National Health Insurance Authority (NHIA) clinic in a tertiary health facility.
Methods: The study was a descriptive cross-sectional design with 320 respondents who completed a semi-structured questionnaire.
J Med Entomol
January 2025
Department of Invertebrate Zoology and Parasitology, Faculty of Biology, University of Gdańsk, Wita Stwosza 59, Gdańsk 80-308, Poland.
Myiasis is a parasitic infestation of soft vertebrate tissues by larval stages of Diptera. We briefly described the lesion-causing genus Cordylobia Grünberg (Diptera: Calliphoridae). Three Polish travelers to Uganda, Gambia, and Senegal returned with furuncular myiasis.
View Article and Find Full Text PDFObjective: The objective of this research was to devise and authenticate a predictive model that employs CT radiomics and deep learning methodologies for the accurate prediction of synchronous distant metastasis (SDM) in clear cell renal cell carcinoma (ccRCC).
Methods: A total of 143 ccRCC patients were included in the training cohort, and 62 ccRCC patients were included in the validation cohort. The CT images from all patients were normalized, and the tumor regions were manually segmented via ITK-SNAP software.
J Med Syst
January 2025
Unitat de Suport a la Recerca Metropolitana Nord, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), C/ Mare de Déu de Guadalupe, 2, Mataró, 08303, Barcelona, Spain.
Predicting health-related outcomes can help with proactive healthcare planning and resource management. This is especially important on the older population, an age group growing in the coming decades. Considering longitudinal rather than cross-sectional information from primary care electronic health records (EHRs) can contribute to more informed predictions.
View Article and Find Full Text PDFMed Educ Online
December 2025
Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan.
Background: Medical Humanities (MH) curricula integrate humanities disciplines into medical education to nurture essential qualities in future physicians. However, the impact of MH on clinical competencies during formative training phases remains underexplored. This study aimed to determine the influence of MH curricula on internship performance.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!