OP0010 Use of claims and electronic medical record data to predict ra disease activity
Sign Up to like & getrecommendations! Published in 2018 at "Annals of the Rheumatic Diseases"
DOI: 10.1136/annrheumdis-2018-eular.2047
Abstract: Background Prior studies have demonstrated challenges in developing and validating claims-based algorithms that accurately predict RA disease activity.1 2 The ability to adjust for and predict RA disease activity would be a powerful epidemiological tool… read more here.
Keywords: emr data; bristol myers; disease activity; activity ... See more keywords
An electronic medical records study of population obesity prevalence in El Paso, Texas
Sign Up to like & getrecommendations! Published in 2022 at "BMC Medical Informatics and Decision Making"
DOI: 10.1186/s12911-022-01781-1
Abstract: Background In this study, we determine the feasibility of using electronic medical record (EMR) data to determine obesity prevalence at the census tract level in El Paso County, Texas, located on the U.S.-Mexico border. Methods… read more here.
Keywords: census; obesity; obesity prevalence; emr data ... See more keywords
Identification of validated case definitions for chronic disease using electronic medical records: a systematic review protocol
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DOI: 10.1186/s13643-017-0431-9
Abstract: BackgroundPrimary care electronic medical record (EMR) data are being used for research, surveillance, and clinical monitoring. To broaden the reach and usability of EMR data, case definitions must be specified to identify and characterize important… read more here.
Keywords: emr data; surveillance; case; case definitions ... See more keywords
Accuracy of Electronic Medical Record Follow-Up Data for Estimating the Survival Time of Patients With Cancer.
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DOI: 10.1200/cci.22.00019
Abstract: PURPOSE For real-world evidence, it is convenient to use routinely collected data from the electronic medical record (EMR) to measure survival outcomes. However, patients can become lost to follow-up, causing incomplete data and biased survival… read more here.
Keywords: emr data; cancer registry; using emr; cancer ... See more keywords
Application of big-data for epidemiological studies of refractive error
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DOI: 10.1371/journal.pone.0250468
Abstract: Purpose To examine whether data sourced from electronic medical records (EMR) and a large industrial spectacle lens manufacturing database can estimate refractive error distribution within large populations as an alternative to typical population surveys of… read more here.
Keywords: emr data; error; spectacle lens; refractive error ... See more keywords
General practice Electronic Medical Record (EMR) data: exploring patient and healthcare practitioner activity from 2019 to 2021.
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DOI: 10.22605/rrh8115
Abstract: INTRODUCTION General practice (GP) in Ireland is almost entirely computerised. Computerised records hold great potential for large-scale data analyses but existing software packages do not readily provide such analyses. For a profession facing considerable workforce… read more here.
Keywords: emr data; general practice; activity; electronic medical ... See more keywords
Using Knowledge Graphs to Plausibly Infer Missing Associations in EMR Data
Sign Up to like & getrecommendations! Published in 2021 at "Studies in health technology and informatics"
DOI: 10.3233/shti210192
Abstract: Electronic Medical Records (EMRs) are increasingly being deployed at primary points of care and clinics for digital record keeping, increasing productivity and improving communication. In practice, however, there still exists an often incomplete picture of… read more here.
Keywords: plausibly infer; using knowledge; infer missing; knowledge graphs ... See more keywords