Secondary Use of Electronic Health Record: Opportunities and Challenges by Shahid Munir Shah, Rizwan Ahmed Khan

Subjects: “…Electronic health records (EHR)…”
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Patient centric decentralizing health records: a gas-efficient Soulbound token framework for EHR management by Mayank Sharma, Namrta Tanwar

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Electronic Health Record Systems in Limited Resource Settings: A Comprehensive Evaluation of the Impilo Platform by Hamufare Dumisani Mugauri, Memory Chimsimbe

Subjects: “…electronic health records…”
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Machine learning enhanced expert system for detecting heart failure decompensation using patient reported vitals and electronic health records by Shumit Saha, Heather Ross, Pedro Elkind Velmovitsky, Chloe X. Wang, Julie K. K. Vishram-Nielsen, Cedric Manlhiot, Bo Wang, Joseph A. Cafazzo

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An Explainable Multimodal Artificial Intelligence Model Integrating Histopathological Microenvironment and EHR Phenotypes for Germline Genetic Testing in Breast Cancer by Zijian Yang, Changyuan Guo, Jiayi Li, Yalun Li, Lei Zhong, Pengming Pu, Tongxuan Shang, Lin Cong, Yongxin Zhou, Guangdong Qiao, Ziqi Jia, Hengyi Xu, Heng Cao, Yansong Huang, Tianyi Liu, Jian Liang, Jiang Wu, Dongxu Ma, Yuchen Liu, Ruijie Zhou, Xiang Wang, Jianming Ying, Meng Zhou, Jiaqi Liu

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Surveillance of severe acute respiratory infections using ICD-10 diagnosis codes and national electronic health records, Denmark, 2022 to 2024 by Lasse Skafte Vestergaard

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Enhancing Standardized and Structured Recording by Elderly Care Physicians for Reusing Electronic Health Record Data: Interview Study by Charlotte A W Albers, Yvonne Wieland-Jorna, Martine C de Bruijne, Martin Smalbrugge, Karlijn J Joling, Marike E de Boer

“… BackgroundElderly care physicians (ECPs) in nursing homes document patients’ health, medical conditions, and the care provided in electronic health records (EHRs). …”
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Comparative analysis of accuracy and completeness in standardized database generation for complex multilingual lung cancer pathological reports: large language model-based assisted... by Hao Hang, Hao Hang, Liankai Yang, Zhongjie Wang, Zhebing Lin, Pengchong Li, Jiayue Zhu, Rang Liu, Shuai Pu, Xinghua Cheng

Subjects: “…Electronic Health Records (EHRs)…”
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Natural Language Processing framework for identifying abdominal aortic aneurysm repairs using unstructured electronic health records by Daniel C. Thompson, Reza Mofidi

“…Natural Language Processing (NLP) offers a promising solution by automating analysis of electronic health records (EHRs). This study aimed to develop NLP models for identifying and classifying abdominal aortic aneurysm (AAA) repairs from unstructured EHRs, demonstrating a proof-of-concept for automated patient identification in registries like the National Vascular Registry. …”
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Precision public health alliances as a model and method for community engagement by Margaret L. McGladrey, Mary Elizabeth Lacy, Kristen McQuerry, Rachel Hogg-Graham, Svetla Slavova, Emily R. Clear, Kory Heier, Caitline Phan, Megan Hall, Ryan Parker, Mindy Keeton, Jennifer Sword, Thomas Ard, Charbel Salem

“…The University of Kentucky College of Public Health (UKCPH) and UK King’s Daughters (UKKD) have partnered to create a Precision Public Health Alliance (PPHA) applying precision analytics to UKKD electronic health records (EHR) as well as secondary datasets to map social, demographic, and clinical comorbidity factors onto colorectal cancer (CRC) screening data in UKKD’s rural service area (the northeastern Kentucky counties of Boyd, Carter, Greenup, and Lawrence and southeast Ohio county of Lawrence). …”
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A scoping review of self-supervised representation learning for clinical decision making using EHR categorical data by Yuanyuan Zheng, Adel Bensahla, Mina Bjelogrlic, Jamil Zaghir, Hugues Turbe, Lydie Bednarczyk, Christophe Gaudet-Blavignac, Julien Ehrsam, Stéphane Marchand-Maillet, Christian Lovis

“…Abstract The widespread adoption of Electronic Health Records (EHRs) and deep learning, particularly through Self-Supervised Representation Learning (SSRL) for categorical data, has transformed clinical decision-making. …”
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Enhancing anemia detection through multimodal data fusion: a non-invasive approach using EHRs and conjunctiva images by Muhammad Ramzan, Muhammad Usman Saeed, Ghulam Ali

“…In this research, a novel deep learning multi-modal feature fusion approach is proposed for the automated detection of anemia using EHRs (Electronic Health Records), and Conjunctiva image dataset. …”
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5G-MobiCare: A Secure 5G Assisted Remote Mobile Health Monitoring Platform by Hemangi Goswami, Tarun Pandey, Hiten Choudhury

“…E-Healthcare utilizes IoT-enabled medical devices equipped with sensors to gather and transmit patient health data to a centralized electronic health record (EHR) system via mobile networks, enabling remote health management. …”
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Thematic Analysis of Clinician Documentation Surrounding Treatment Discussions and Decision‐Making in Patients With Desmoid Tumors by Victoria Wytiaz, Tianyi Wang, Scott Schuetze, Nina J. Francis‐Levin, Rashmi Chugh

“…Documentation entries in the electronic health record (EHR) were reviewed, and passages pertaining to treatment were abstracted and explored using inductive thematic analysis. …”
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A Smartphone Is Not Enough: Telehealth Attendance and the Digital Divide by James Labadorf, Matthew Nichols, Tayana Williams, Celina Cunanan, Brian D'Anza

“…Methods Data on 473,716 telehealth encounters occurring between January 1, 2022, and June 30, 2023 were retrieved from the electronic health records (EHR) system used by University Hospitals. …”
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Performance of machine learning versus the national early warning score for predicting patient deterioration risk: a single-site study of emergency admissions by Darren Green, Mark Holland, Pinkie Chambers, Matthew Watson, Noura Al Moubayed, Stelios Boulitsakis Logothetis

“…The widespread adoption of electronic health records (EHR) makes rich feature patient data sets more readily available. …”
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A blockchain secured metaverse framework for scalable and immersive telemedicine by Rahul Ganpatrao Sonkamble, Swati Shirke-Deshmukh, Vijay Katkar, M. Lunagaria, Ganshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…Existing telemedicine solutions rely on centralized architectures, making Electronic Health Records (EHRs) susceptible to data breaches and unauthorized access. …”
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Appropriately Matching Transport Care Units to Patients in Interhospital Transport Care: Implementation Study by Shirin Hasavari, Pouyan Esmaeilzadeh

“…Existing systems cannot integrate patient data from sending hospitals’ electronic health records (EHRs) into the transfer request process, primarily due to privacy concerns, interoperability challenges, and the sensitive nature of EHR data. …”
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APOE Genotype and Statin Response: Evidence From the UK Biobank and All of Us Program by Innocent G. Asiimwe, Andrea L. Jorgensen, Munir Pirmohamed, the Multimorbidity Mechanism and Therapeutic Research Collaborative (MMTRC)

“…Using UK Biobank (UKB) and All of Us (AoU) data, we aimed to investigate associations between APOE genotype, statin use, and key health outcomes. Our analysis included UKB baseline data and linked mortality records (389,843–452,189 participants), and electronic health records (EHR) from 45,515 UKB and 35,562 AoU participants. …”
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Identifying clusters of people with Multiple Long-Term Conditions using Large Language Models: a population-based study by Alexander Smith, Thomas Beaney, Carinna Hockham, Bowen Su, Paul Elliott, Laura Downey, Spiros Denaxas, Payam Barnaghi, Abbas Dehghan, Ioanna Tzoulaki

“…In this population-based study, we developed a pipeline incorporating a DeBERTa language model to generate gender-specific clusters. Our model, EHR-DeBERTa, was pre-trained on longitudinal sequences of diagnoses, medications and test results from primary care electronic health records of 5.8 million patients in the UK. …”
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