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, …
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 health records …
(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: common …
(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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Suitability of Data Models for Electronic Health Records Database
(1 days ago) WEBStoring this BIG DATA in an efficient manner is the key for any successful project. Work done in this paper is dedicated towards presenting the possible efficient ways available …
https://link.springer.com/chapter/10.1007/978-3-319-13820-6_2
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Modeling electronic health record data using a knowledge …
(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 …
https://arxiv.org/pdf/2206.01436v1.pdf
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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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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 quality assessment and tools: a
(4 days ago) WEBThe usage of electronic health record (EHR) derived data in biomedical research has increased in recent years, and this trend is expected to continue as such …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10531113/
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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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What is an electronic health record (EHR)? HealthIT.gov
(2 days ago) WEBAn electronic health record (EHR) is a digital version of a patient’s paper chart. EHRs are real-time, patient-centered records that make information available instantly and …
https://www.healthit.gov/faq/what-electronic-health-record-ehr
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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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Synthesize high-dimensional longitudinal electronic health …
(4 days ago) WEBoutpatient EHR dataset with an average of 34.16 visits per record and 3.52 codes per visit with 9882 unique ICD-10 codes. (2) The inpatient EHR is from the MIMIC-III ICU stay …
https://www.nature.com/articles/s41467-023-41093-0.pdf
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Using electronic health record data to develop and validate a
(1 days ago) WEBMeasurements and main results: Vital sign, demographic, location, and laboratory data were extracted from the electronic health record and investigated as potential …
https://pubmed.ncbi.nlm.nih.gov/24247472/
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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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Assessment of a Deep Learning Model Based on Electronic Health …
(8 days ago) WEBExposures Structured data were extracted from the electronic health record, including exposures (medications), patient demographics, laboratories, and prior …
https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2728001
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Occupational Data for Health EHRs CDC
(4 days ago) WEBODH information model. The ODH information model: The HL7 ® EHR System-Functional Model Release 2: Functional Profile; Work and Health, Release 1 – …
https://www.cdc.gov/niosh/ehr/odh/index.html
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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 …
https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-024-02231-4
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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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Use of deep learning to develop continuous-risk models for …
(Just Now) WEBDusenberry, M. W. et al. Analyzing the role of model uncertainty for electronic health records. In CHIL ’20: Proceedings of the ACM Conference on …
https://www.nature.com/articles/s41596-021-00513-5
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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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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 …
https://arxiv.org/abs/2405.05204
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Generating synthetic mixed-type longitudinal electronic health …
(Just Now) WEBElectronic health records (EHRs) data are routinely collected for patients in intensive care units (ICUs). First, GANs have serious limitations on the type of data …
https://www.nature.com/articles/s41746-023-00834-7
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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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