Electronic Health Records (EHR) Research This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Multicenter Analysis of Cardiometabolic-Related Diagnoses in Youth with Congenital Adrenal Hyperplasia: a PEDSnet study
CONCLUSIONS: Overall, youth with CAH are at increased risk of diagnoses related to worse cardiometabolic health.PMID:38783717 | DOI:10.1210/clinem/dgae362 (Source: The Journal of Clinical Endocrinology and Metabolism)
Source: The Journal of Clinical Endocrinology and Metabolism - May 24, 2024 Category: Endocrinology Authors: Li-Min Chen Anna Valentine Shanlee M Davis Evan Graber Patricia Y Fechner Anna Furniss Leena Nahata Laura Pyle Arpita K Vyas Maria G Vogiatzi Natalie J Nokoff Source Type: research

Comprehensive ABC (HbA < sub > 1c < /sub > , blood pressure, LDL-C) control and cardiovascular disease risk in patients with type 2 diabetes mellitus and major depressive disorder in a South African managed healthcare organisation
CONCLUSIONS: Despite a managed-care environment, the comprehensive ABC control among patients with T2DM was suboptimal, particularly in those with MDD, placing them at greater risk for CVD events.PMID:38787623 | DOI:10.5830/CVJA-2024-003 (Source: Cardiovascular Journal of Africa)
Source: Cardiovascular Journal of Africa - May 24, 2024 Category: Cardiology Authors: Lovina A Naidoo Neil Butkow Paula Barnard-Ashton Elena Libhaber Source Type: research

Exploring Negated Entites for Named Entity Recognition in Italian Lung Cancer Clinical Reports
Stud Health Technol Inform. 2024 May 23;314:98-102. doi: 10.3233/SHTI240066.ABSTRACTThis paper explores the potential of leveraging electronic health records (EHRs) for personalized health research through the application of artificial intelligence (AI) techniques, specifically Named Entity Recognition (NER). By extracting crucial patient information from clinical texts, including diagnoses, medications, symptoms, and lab tests, AI facilitates the rapid identification of relevant data, paving the way for future care paradigms. The study focuses on Non-small cell lung cancer (NSCLC) in Italian clinical notes, introducing a ...
Source: Studies in Health Technology and Informatics - May 24, 2024 Category: Information Technology Authors: Domenico Paolo Alessandro Bria Carlo Greco Marco Russano Sara Ramella Paolo Soda Rosa Sicilia Source Type: research

Development and Implementation of an Integrated Standard e-Prescription Model in Alignment with Iranian National EHR
Stud Health Technol Inform. 2024 May 23;314:139-143. doi: 10.3233/SHTI240077.ABSTRACTThe implementation of an Electronic Prescribing (EP) system offers numerous advantages in enhancing the efficiency of prescribing practices. To ensure successful implementation, a comprehensive understanding of the workflow in paper-based prescribing is crucial. In Iran, the Ministry of Health, and Medical Education (MOHME) has been actively involved in developing an EP system since 2011. The pilot results within MOHME have garnered significant support from all basic insurance organizations, primarily due to the importance of addressing fi...
Source: Studies in Health Technology and Informatics - May 24, 2024 Category: Information Technology Authors: Somayeh Abedian Amin Biglarkhani Ali Azami Ghadikolaei Mohsen Barahmand Source Type: research

Nursing diagnoses and hospital readmission of patients with respiratory diseases: Findings from a case –control study
AbstractAimThe rate of readmission after hospitalisation for respiratory diseases has become a common and challenging clinical problem. Social and functional patient variables could help identify cases at high risk of readmission. The aim was to identify the nursing diagnoses that were associated with readmission after hospitalisation for respiratory disease in Spain.DesignCase-control study within the cohort of patients admitted for respiratory disease during 2016 –19 in a tertiary public hospital in Spain (n = 3781).MethodsCases were patients who were readmitted within the first 30 days of discharge, and their c...
Source: Nursing Open - May 24, 2024 Category: Nursing Authors: Paloma Su árez‐González, Ane Suárez‐Elosegui, Lucía Arias‐Fernández, Irene Pérez‐Regueiro, Francisco J. Jimeno‐Demuth, Alberto Lana Tags: EMPIRICAL RESEARCH QUANTITATIVE Source Type: research

IJERPH, Vol. 21, Pages 671: Exploring the Feasibility of an Electronic Tool for Predicting Retention in HIV Care: Provider Perspectives
P. Ridgway Retention in care for people living with HIV (PLWH) is important for individual and population health. Preemptive identification of PLWH at high risk of lapsing in care may improve retention efforts. We surveyed providers at nine institutions throughout Chicago about their perspectives on using an electronic health record (EHR) tool to predict the risk of lapsing in care. Sixty-three percent (20/32) of providers reported currently assessing patients&rsquo; risk for lapsing in care, and 91% (29/32) reported willingness to implement an EHR tool. When compared to those with other job roles, prescribers...
Source: International Journal of Environmental Research and Public Health - May 24, 2024 Category: Environmental Health Authors: Jacqueline Kromash Eleanor E. Friedman Samantha A. Devlin Jessica Schmitt John M. Flores Jessica P. Ridgway Tags: Article Source Type: research

Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification
Med Image Comput Comput Assist Interv. 2023 Oct;14221:649-659. doi: 10.1007/978-3-031-43895-0_61. Epub 2023 Oct 1.ABSTRACTThe accuracy of predictive models for solitary pulmonary nodule (SPN) diagnosis can be greatly increased by incorporating repeat imaging and medical context, such as electronic health records (EHRs). However, clinically routine modalities such as imaging and diagnostic codes can be asynchronous and irregularly sampled over different time scales which are obstacles to longitudinal multimodal learning. In this work, we propose a transformer-based multimodal strategy to integrate repeat imaging with longit...
Source: MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention - May 23, 2024 Category: Radiology Authors: Thomas Z Li John M Still Kaiwen Xu Ho Hin Lee Leon Y Cai Aravind R Krishnan Riqiang Gao Mirza S Khan Sanja Antic Michael Kammer Kim L Sandler Fabien Maldonado Bennett A Landman Thomas A Lasko Source Type: research

Abnormal Electroencephalogram Findings and Its Correlation With Clinical Features From Pediatric Patients in Psychiatric Clinic
Conclusion: EEG abnormalities were common in pediatric patients with psychiatric disorders, with background abnormalities detected as frequently as IEDs. Disease severity was not associated with EEG abnormality, while IQ scores showed a negative correlation.PMID:38778758 | DOI:10.1177/15500594241256170 (Source: Clinical EEG and Neuroscience)
Source: Clinical EEG and Neuroscience - May 23, 2024 Category: Neuroscience Authors: Young Jun Ko Jae Hyun Han Anna Cho Heejeong Yoo Hunmin Kim Source Type: research

Improving Compliance with a Nurse-Driven Protocol for Unfractionated Heparin Infusions in Patients with Venous Thromboembolism
CONCLUSIONS: A multidisciplinary initiative to address improvement opportunities in a nurse-driven UFH protocol for VTE treatment increased compliance with the protocol and decreased the time to first therapeutic aPTT.PMID:38780339 | DOI:10.1097/01.NAJ.0001023968.05082.57 (Source: Cancer Control)
Source: Cancer Control - May 23, 2024 Category: Cancer & Oncology Authors: Katy M Toale Gina Butler Goley Richardson Jeff Beno Neetha Jawe Source Type: research

Coaches Activating, Reaching, and Engaging Patients to Engage in Advance Care Planning: A Randomized Clinical Trial
CONCLUSIONS AND RELEVANCE: In this randomized clinical trial, a multilevel intervention improved oncology clinician-documented ACP compared with a clinician-level intervention alone for patients with genitourinary cancer. The intervention is one approach to effectively increase ACP among patients with cancer.TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT03856463.PMID:38780960 | DOI:10.1001/jamaoncol.2024.1242 (Source: Cancer Control)
Source: Cancer Control - May 23, 2024 Category: Cancer & Oncology Authors: Gladys M Rodriguez Divya A Parikh Kris Kapphahn Divya M Gupta Alice C Fan Sumit Shah Sandy Srinivas Winifred Teuteberg Briththa Seevaratnam Khay Asuncion Joanne Chien Kaidi Moore Shann Mika Ruiz Manali I Patel Source Type: research

Electronic Health Record-Based Algorithm for Monitoring Respiratory Virus-Like Illness
Emerg Infect Dis. 2024 Jun;30(6):1096-1103. doi: 10.3201/eid3006.230473.ABSTRACTViral respiratory illness surveillance has traditionally focused on single pathogens (e.g., influenza) and required fever to identify influenza-like illness (ILI). We developed an automated system applying both laboratory test and syndrome criteria to electronic health records from 3 practice groups in Massachusetts, USA, to monitor trends in respiratory viral-like illness (RAVIOLI) across multiple pathogens. We identified RAVIOLI syndrome using diagnosis codes associated with respiratory viral testing or positive respiratory viral assays or fe...
Source: Emerging Infectious Diseases - May 23, 2024 Category: Infectious Diseases Authors: Noelle M Cocoros Karen Eberhardt Vu-Thuy Nguyen Catherine M Brown Alfred DeMaria Lawrence C Madoff Liisa M Randall Michael Klompas Source Type: research