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How far back do we need to look to capture diagnoses in electronic health records? A retrospective observational study of hospital electronic health record data
Published 2024-02-01“…This study aimed to ascertain how far back in time electronic hospital records need to be interrogated to capture long-term condition diagnoses.Design Retrospective observational study of routinely collected hospital electronic health record data.Setting Queen Elizabeth Hospital Birmingham (UK)-linked data held by the PIONEER acute care data hub.Participants Patients whose first recorded admission for chronic obstructive pulmonary disease (COPD) exacerbation (n=560) or acute stroke (n=2142) was between January and December 2018 and who had a minimum of 10 years of data prior to the index date.Outcome measures We identified the most common International Classification of Diseases version 10-coded diagnoses received by patients with COPD and acute stroke separately. …”
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Investigation of Information Overload in Electronic Health Records: Protocol for Usability Study
Published 2025-02-01“… BackgroundElectronic health records (EHRs) have been associated with information overload, causing providers to miss critical information, make errors, and delay care. …”
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Privacy preserving strategies for electronic health records in the era of large language models
Published 2025-01-01“…Electronic health records (EHRs) secondary usage with large language models (LLMs) raise privacy challenges. …”
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Patterns of multimorbidity in primary care electronic health records: A systematic review
Published 2024-01-01“…This systematic review summarises the current evidence on multimorbidity patterns identified in primary care electronic health record (EHR) data. Methods Three databases were searched from inception to April 2022 to identify studies that derived original multimorbidity patterns from primary care EHR data. …”
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Application of machine learning in diabetes prediction based on electronic health record data analysis
Published 2025-01-01“…With the application of electronic health records (EHRs) in the medical field, the use of machine learning to predict disease has become one of the important research hotspots in the healthcare industry. …”
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Predicting patient engagement in IAPT services: a statistical analysis of electronic health records
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Multi-Modal Fusion of Routine Care Electronic Health Records (EHR): A Scoping Review
Published 2025-01-01Subjects: Get full text
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Patient-Accessible Electronic Health Records and Information Practices in Mental Health Care Contexts: Scoping Review
Published 2025-02-01“… BackgroundPatients are increasingly being provided with access to their electronic health records. However, in mental health care contexts, concerns have been raised due to a perception that such access would pose risks to patients, third parties, and the therapeutic relationship. …”
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Quantum secure patient login credential system using blockchain for electronic health record sharing framework
Published 2025-02-01“…Abstract Nowadays, most of the medical records are maintained in a digital format known as Electronic Health Records Sharing (EHRS) framework. Patients have individual login credentials for accessing these medical records. …”
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Contributing Factors to Operating Room Delays Identified from an Electronic Health Record: A Retrospective Study
Published 2022-01-01“…The objective of this initial study was to identify factors not normally documented in the electronic health record (EHR) that may contribute to or be indicators of OR delays. …”
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Blockchain enabled policy-based access control mechanism to restrict unauthorized access to electronic health records
Published 2025-01-01“…Electronic health record transmission and storage involve sensitive information, requiring robust security measures to ensure access is limited to authorized personnel. …”
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Development and implementation of an electronic health record system for use in humanitarian emergencies, disaster response, and conflict zones.
Published 2025-01-01“…The Fast Electronic Medical Record (fEMR) system is an open-source electronic health record system specifically designed for use in resource-limited settings and humanitarian crises. …”
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Beirut Port Blast: Use of Electronic Health Record System During a Mass Casualty Event
Published 2024-11-01“…Introduction: Emergency departments (ED) play a central role in defining the effectiveness and quality of the overall hospital’s mass casualty incident (MCI) response. The use of electronic health records (EHR) in hospital settings has been rapidly growing globally. …”
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Comparative Analysis of Barriers and Challenges in Adoption of Electronic Health Record System in Government and Private Hospitals of Islamabad
Published 2024-06-01“… Objective: The purpose of this study was to identify the barriers and challenges in adoption of the EHR system in hospitals of Islamabad and to compare the barriers and challenges faced in adopting and running of electronic health record system in government and private hospitals of Islamabad. …”
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Scalable information extraction from free text electronic health records using large language models
Published 2025-01-01Subjects: Get full text
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Comparison of observational methods to identify and characterize post-COVID syndrome in the Netherlands using electronic health records and questionnaires.
Published 2025-01-01“…<h4>Methods</h4>We used data from Nivel Primary Care database from 2019-2020 which consists of electronic health records (EHR) from general practices (GPs) combined with sociodemographic data for n = 10,313 individuals infected with the SARS-CoV-2. …”
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A Comparison of Patient and Provider Perspectives on an Electronic Health Record–Based Discharge Communication Tool: Survey Study
Published 2025-01-01“…ObjectiveThis study aimed to evaluate an electronic health record–based discharge communication tool by examining and comparing patient and provider perspectives. …”
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Electronic Health Record Use Patterns Among Well-Being Survey Responders and Nonresponders: Longitudinal Observational Study
Published 2025-02-01“…Ubiquitously collected electronic health record (EHR) use data may improve understanding of the experiences of survey nonresponders in relation to responders, providing clues regarding their well-being. …”
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Clustering long-term health conditions among 67728 people with multimorbidity using electronic health records in Scotland.
Published 2023-01-01“…We used linked demographic information, and secondary care electronic health records from 1st January 2000. Individuals with at least two of the 31 Elixhauser Comorbidity Index conditions were identified as having multimorbidity. …”
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Electronic health record and primary care physician self-reported quality of care: a multilevel study in China
Published 2024-12-01Subjects: “…electronic health record…”
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