Lack of infrastructure, including information and communication systems, is considered a barrier to successful HIV treatment programmes in resource poor areas. The authors describe how they set up a web based medical record system linking remote areas in rural Haiti and how it is used to track clinical outcomes, laboratory tests, and drug supplies and to create reports for funding agencies
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http://dx.doi.org/10.1136/bmj.329.7475.1142 | DOI Listing |
Genet Med
December 2024
Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN; Center for Digital Genomic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN. Electronic address:
Purpose: The value of genetic information for improving the performance of clinical risk prediction models has yielded variable conclusions. Many methodological decisions have the potential to contribute to differential results. We performed multiple modeling experiments integrating clinical and demographic data from electronic health records (EHR) with genetic data to understand which decisions may affect performance.
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December 2024
Fidson Health Care PLC, Ibadan, Oyo State, Nigeria.
This study assessed the factors militating against the effective implementation of electronic health records (EHR) in Nigeria, the computerization of patients' health records with a lot of benefits including improved patients' satisfaction, improved care processes, reduction of patients' waiting time, and medication errors. Despite these benefits, healthcare organizations are slow to adopt the EHR system. Therefore, the study assessed the factors militating against the effective implementation of the EHR system, the level of awareness of EHR, and the utilization of electronic health records; it also investigated the factors militating against the effective implementation of EHR.
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December 2024
Artificial Intelligence in Medical Sciences Research Center, Smart University of Medical Sciences, Tehran, Iran.
Failure to predict stroke promptly may lead to delayed treatment, causing severe consequences like permanent neurological damage or death. Early detection using deep learning (DL) and machine learning (ML) models can enhance patient outcomes and mitigate the long-term effects of strokes. The aim of this study is to compare these models, exploring their efficacy in predicting stroke.
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December 2024
Radiology Department, Children's Hospital of Chongqing Medical University, Yuzhong District Zhongshan 2 Road 136#, Chongqing, 400014, China.
This study aimed to identify imaging risk factors for spinal cord injury without radiologic abnormalities (SCIWORA) in children. We retrospectively analyzed the medical records and magnetic resonance imaging (MRI) findings of children with SCIWORA admitted to our hospital between January 1, 2012, and September 30, 2022. Univariate and binary logistic regression analyses were used to evaluate the prognostic impact of various factors including MRI type, maximum cross-sectional area of spinal cord injury, injury length, injury signal intensity ratio.
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December 2024
Department of Obstetrics and Gynecology rehabilitation, West China Second Hospital, Sichuan University, Huaxi Technology Building, 16 Linjiang Middle Road, Wuhou District, Chengdu, 610000, Sichuan, China.
Rectus abdominis diastasis (RAD) is a key factor in the rehabilitation of postpartum women. This study aimed to evaluate the clinical efficacy of Kinesio Taping (KT) in RAD treatment and abdominal changes. The medical records of women with RAD who received KT treatment at the hospital were reviewed.
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