Caveats for the use of operational electronic health record data in comparative effectiveness research. - Wikidata - wikimedia - TriplyDB

Caveats for the use of operational electronic health record data in comparative effectiveness research.

Caveats for the use of operational electronic health record data in comparative effectiveness research.

http://www.wikidata.org/entity/Q30649696

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Big data for bipolar disorder.Data elements and validation methods used for electronic surveillance of health care-associated infections: a systematic review Development of a Web-Based Clinical Decision Support System for Drug Prescription: Non-Interventional Naturalistic Description of the Antipsychotic Prescription Patterns in 4345 Outpatients and Future Applications Reconciling evidence-based medicine and precision medicine in the era of big data: challenges and opportunities Dramatyping: a generic algorithm for detecting reasonable temporal correlations between drug administration and lab value alterations Big data are coming to psychiatry: a general introduction An integrated, ontology-driven approach to constructing observational databases for research Electronic health records and community health surveillance of childhood obesity Extracting research-quality phenotypes from electronic health records to support precision medicine Sustaining Research Networks: the Twenty-Year Experience of the HMO Research Network Big Data: Are Biomedical and Health Informatics Training Programs Ready? Contribution of the IMIA Working Group for Health and Medical Informatics Education Beyond information retrieval and electronic health record use: competencies in clinical informatics for medical education Launching PCORnet, a national patient-centered clinical research network Electronic health records to facilitate clinical research.Can we predict a national profile of non-attendance paediatric urology patients: a multi-institutional electronic health record study.Facilitating biomedical researchers' interrogation of electronic health record data: Ideas from outside of biomedical informatics Transparent reporting of data quality in distributed data networks.Breast cancer treatment across health care systems: linking electronic medical records and state registry data to enable outcomes research Sick patients have more data: the non-random completeness of electronic health records.Community-level determinants of obesity: harnessing the power of electronic health records for retrospective data analysis.Hidden in plain sight: bias towards sick patients when sampling patients with sufficient electronic health record data for research.Estimating causal effects in observational studies using Electronic Health Data: Challenges and (some) solutions Big data and large sample size: a cautionary note on the potential for bias Clinical research informatics and electronic health record data Considerations for using research data to verify clinical data accuracy.How the provenance of electronic health record data matters for research: a case example using system mapping.Recommendations for the use of operational electronic health record data in comparative effectiveness research.Availability of structured and unstructured clinical data for comparative effectiveness research and quality improvement: a multisite assessment Barriers to using eHealth data for clinical performance feedback in Malawi: A case study.Advancing Symptom Science Through Use of Common Data Elements.Are family physicians comprehensively using electronic medical records such that the data can be used for secondary purposes? A Canadian perspective.Rediscovering drug side effects: the impact of analytical assumptions on the detection of associations in EHR data Characterizing Secondary Use of Clinical Data.Challenges Associated With Using Large Data Sets for Quality Assessment and Research in Clinical Settings.Learning About Missing Data Mechanisms in Electronic Health Records-based Research: A Survey-based Approach.Application of An Ontology for Characterizing Data Quality For a Secondary Use of EHR Data Data quality assessment framework to assess electronic medical record data for use in research Extracting Electronic Health Record Data in a Practice-Based Research Network: Processes to Support Translational Research across Diverse Practice Organizations Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review.Using primary care electronic health record data for comparative effectiveness research: experience of data quality assessment and preprocessing in The Netherlands.

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Caveats for the use of operational electronic health record data in comparative effectiveness research.

http://www.wikidata.org/entity/Q30649696

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2013 թուականի Օգոստոսին հրատարակուած գիտական յօդուած

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2013 թվականի օգոստոսին հրատարակված գիտական հոդված

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Caveats for the use of operati ...... rative effectiveness research.

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Caveats for the use of operati ...... rative effectiveness research.

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Caveats for the use of operati ...... rative effectiveness research.

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Joel H Saltz

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Judith R Logan

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Mark G Weiner

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Peter J Embi

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Philip R O Payne

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Timothy H Hartzog

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P2860

Identification of genomic predictors of atrioventricular conduction: using electronic medical records as a tool for genome science

Measuring diagnoses: ICD code accuracy

Building a robust, scalable and standards-driven infrastructure for secondary use of EHR data: the SHARPn project

Natural language processing: an introduction

Practices and perspectives on building integrated data repositories: results from a 2010 CTSA survey

The eMERGE Network: a consortium of biorepositories linked to electronic medical records data for conducting genomic studies

Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research

Toward a national framework for the secondary use of health data: an American Medical Informatics Association White Paper.

Systematic review of scope and quality of electronic patient record data in primary care.

Empirical assessment of methods for risk identification in healthcare data: results from the experiments of the Observational Medical Outcomes Partnership.

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8 Suppl 3

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51

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George Hripcsak

Harold P. Lehmann

Elmer V. Bernstam

James J. Cimino

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2013-08-01T00:00:00Z

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electronic health record

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