Electronic Health Record Data Model
Listing Websites about Electronic Health Record Data Model
Standardized electronic health record data modeling and …
(7 days ago) WebWith the extensive adoption of electronic health records (EHRs) by several healthcare organizations, more efforts are needed to manage and utilize such massive, various, and complex healthcare data. Databases' performance and suitability to health …
https://www.sciencedirect.com/science/article/pii/S1532046420302987
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Electronic Health Record - STAnford medicine Research data …
(2 days ago) WebSTARR has access to electronic health record (EHR) data from the two hospitals, the Adult Hospital (aka Stanford Health Care) Understanding the ETLs require …
https://starr.stanford.edu/data-types/electronic-health-record
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Standardized electronic health record data modeling and …
(1 days ago) WebWith the extensive adoption of electronic health records (EHRs) by several healthcare organizations, more efforts are needed to manage and utilize such massive, various, and …
https://pubmed.ncbi.nlm.nih.gov/33359548/
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A large language model for electronic health records
(Just Now) WebAbstract. There is an increasing interest in developing artificial intelligence (AI) systems to process and interpret electronic health records (EHRs). Natural …
https://www.nature.com/articles/s41746-022-00742-2
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Synthesize high-dimensional longitudinal electronic …
(Just Now) WebThe paper presents HALO, a Hierarchical Autoregressive Language Model, for generating high-fidelity, longitudinal electronic health records (EHR) data. HALO …
https://www.nature.com/articles/s41467-023-41093-0
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Leveraging electronic health records for data science: …
(7 days ago) WebIntroduction and context: use of data from electronic health records. Electronic health records (EHRs) are increasingly used to survey population health, 1, …
https://www.sciencedirect.com/science/article/pii/S2589750022001546
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Building Electronic Health Record Databases for Research
(1 days ago) WebWith access to the EHR source database acquired and a data model determined, mapping the data will be main activity of both data architects and clinicians …
https://link.springer.com/chapter/10.1007/978-3-030-47994-7_4
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Modeling electronic health record data using a …
(8 days ago) WebModeling electronic health record data using a knowledge-graph-embedded topic model Yuesong Zou 1, Ahmad Pesaranghader , Aman Verma 2, David Buckeridge and Yue Li1, …
https://arxiv.org/pdf/2206.01436v1.pdf
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Unlocking the Potential of Electronic Health Records for …
(3 days ago) WebIntroduction. Electronic Health Records (EHRs) are systemized collections of patient health information and documentation, collected in real-time, and stored in a …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473254/
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Modeling electronic health record data using an end-to-end …
(1 days ago) WebAbstract. The rapid growth of electronic health record (EHR) datasets opens up promising opportunities to understand human diseases in a systematic way. …
https://pubmed.ncbi.nlm.nih.gov/36284225/
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[2206.01436] Modeling electronic health record data using a …
(2 days ago) WebModeling electronic health record data using a knowledge-graph-embedded topic model. The rapid growth of electronic health record (EHR) datasets opens up …
https://arxiv.org/abs/2206.01436
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Chapter 4 Obtaining Data From Electronic Health Records
(5 days ago) WebThere is growing interest in using data captured in electronic health records (EHRs) for patient registries. Both EHRs and patient registries capture and use patient-level clinical …
https://www.ncbi.nlm.nih.gov/books/NBK551878/
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Electronic Health Record Data Model Optimized for Knowledge …
(Just Now) WebDatabase is a core component the Electronic Health Record (EHR) system, and creating a data model for that database is challenging due to the EHR system's …
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Occupational Data for Health EHRs CDC
(4 days ago) WebAt a glance. Occupational data for health (ODH) is a framework that supports collection of standardized work information in electronic health records …
https://www.cdc.gov/niosh/ehr/odh/index.html
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Electronic health record - Wikipedia
(4 days ago) WebThe electronic health record (EHR) is a more longitudinal collection of the electronic health information of individual patients or populations. The EMR, in contrast, is the …
https://en.wikipedia.org/wiki/Electronic_health_record
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An architectural design study of electronic healthcare record …
(Just Now) WebThe Electronic Health Records originate from potential diverse sources and expect to cater a wide variety of solutions including hospitals, enterprises and …
https://link.springer.com/article/10.1007/s12553-022-00638-x
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Scalable and accurate deep learning with electronic health records …
(9 days ago) WebPredictive modeling with electronic health record (EHR) data is anticipated to drive personalized medicine and improve healthcare quality. Constructing predictive …
https://www.nature.com/articles/s41746-018-0029-1
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Electronic Health Record Data Model Optimized for …
(7 days ago) Webthe proposed data model. The paper is concluded in section 5. Electronic Health Record Data Model Optimized for Knowledge Discovery Shaker H. El-Sappagh1, Samir El …
http://ijcsi.org/papers/IJCSI-9-5-1-329-338.pdf
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From real-world electronic health record data to real-world results
(6 days ago) WebBackground. Real-world data (RWD) is defined as ‘data relating to patient health status and/or the delivery of healthcare routinely collected from a variety of sources’.1 While …
https://ard.bmj.com/content/82/3/306
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Modeling electronic health record data using an end-to-end …
(3 days ago) WebData processing. To evaluate our model, we used a real-world large EHR database called Population Health Record (PopHR), which was originally created for monitoring …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9596500/
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Transforming and evaluating electronic health record disease
(2 days ago) WebOverview of the transformation process of raw electronic health records linked from three national sources to the OMOP common data model. The main steps of …
https://academic.oup.com/jamiaopen/article/4/3/ooab001/6127557
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Electronic Health Record Data Governance and Data Quality in
(Just Now) WebHealthcare data grows daily by petabytes. With over a billion healthcare encounters a year in the United States alone, this wealth of data exceeds current …
https://www.himss.org/resources/electronic-health-record-data-governance-and-data-quality-real-world
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Identification of patients’ smoking status using an explainable AI
(9 days ago) WebTo the best of our knowledge, this is the first model based on Danish EHR data. Despite its limitations, the current model holds potential for application to Danish EHR …
https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-024-02231-4
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Synthesize high-dimensional longitudinal electronic health …
(4 days ago) WebSynthetic electronic health records (EHR s) that are both realistic and privacy- niques are used to learn and model complex patterns in EHR data, enabling applications such …
https://www.nature.com/articles/s41467-023-41093-0.pdf
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Extracting Pulmonary Nodules and Nodule Characteristics from
(Just Now) WebPulmonary nodules and nodule characteristics are important indicators of lung nodule malignancy. However, nodule information is often documented as free text in …
https://link.springer.com/article/10.1007/s41666-024-00166-5
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Sensors Free Full-Text ResNet1D-Based Personal - MDPI
(1 days ago) WebFigure 12 illustrates the proposed model for personal identification using surface electromyography (sEMG) for both general and emergency access to electronic …
https://www.mdpi.com/1424-8220/24/10/3140
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CARE-SD: Classifier-based analysis for recognizing and eliminating
(2 days ago) WebObjective: To detect and classify features of stigmatizing and biased language in intensive care electronic health records (EHRs) using natural language processing …
https://arxiv.org/abs/2405.05204
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Deliverable 3 - Electronic Health Record Article (pdf) - CliffsNotes
(8 days ago) WebH I M W E E K L Y 3 Components Implementation - Implementing an electronic health record (EHR) system can be challenging, requiring a shift in …
https://www.cliffsnotes.com/study-notes/13346073
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Candidate Genes from an FDA-Approved Algorithm Fail to Predict …
(1 days ago) WebThe accuracy of the ensemble machine learning model using the 15 genes as predictors was 52.8% (95% CI = 52.1 - 53.6%) in an independent testing sample.
https://www.medrxiv.org/content/10.1101/2024.05.16.24307486v1
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