Defining and measuring completeness of electronic health records for secondary use.
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Data elements and validation methods used for electronic surveillance of health care-associated infections: a systematic reviewSurveying Recent Themes in Translational Bioinformatics: Big Data in EHRs, Omics for Drugs, and Personal GenomicsSick patients have more data: the non-random completeness of electronic health records.Hidden in plain sight: bias towards sick patients when sampling patients with sufficient electronic health record data for research."Big data" and the electronic health record.Clinical research informatics and electronic health record dataRecommendations for the use of operational electronic health record data in comparative effectiveness research.Rediscovering drug side effects: the impact of analytical assumptions on the detection of associations in EHR dataOpportunities and challenges in leveraging electronic health record data in oncology.Data quality assessment framework to assess electronic medical record data for use in researchUsing primary care electronic health record data for comparative effectiveness research: experience of data quality assessment and preprocessing in The Netherlands.Correlating eligibility criteria generalizability and adverse events using Big Data for patients and clinical trials.A Harmonized Data Quality Assessment Terminology and Framework for the Secondary Use of Electronic Health Record Data.Clinical Research Informatics for Big Data and Precision Medicine.A distribution-based method for assessing the differences between clinical trial target populations and patient populations in electronic health records.Visual grids for managing data completeness in clinical research datasets.Case-based reasoning using electronic health records efficiently identifies eligible patients for clinical trials.The Accuracy of an Electronic Pulmonary Embolism Severity Index Auto-Populated from the Electronic Health Record: Setting the stage for computerized clinical decision support.Leveraging dialog systems research to assist biomedical researchers' interrogation of Big Clinical Data.Detecting Dysglycemia Using the 2015 United States Preventive Services Task Force Screening Criteria: A Cohort Analysis of Community Health Center Patients.A Multiagent System for Dynamic Data Aggregation in Medical Research.Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records.Patient Experiences Using an Inpatient Personal Health Record.Identifying health outcomes in healthcare databases.Secondary Use of EHR: Interpreting Clinician Inter-Rater Reliability Through Qualitative Assessment.Validity of Cardiovascular Data From Electronic Sources:The Multi-Ethnic Study of Atherosclerosis and HealthLNK.Clinical documentation of dental care in an era of electronic health record use.A substitution method to improve completeness of events documentation in anesthesia records.GIST 2.0: A scalable multi-trait metric for quantifying population representativeness of individual clinical studies.Exploring completeness in clinical data research networks with DQe-c.Leveraging electronic health records for predictive modeling of post-surgical complications.Out-of-system care and recording of patient characteristics critical for comparative effectiveness research.Quantifying the Effect of Data Quality on the Validity of an eMeasure.Biases introduced by filtering electronic health records for patients with "complete data".A conceptual framework for evaluating data suitability for observational studies.Information handoff and outcomes of critically ill patients transferred between hospitals.Electronic medical records as a replacement for prospective research data collection in postoperative pain and opioid response studies.A Framework for Data Quality Assessment in Clinical Research Datasets.A Comparison of Data Quality Assessment Checks in Six Data Sharing Networks.DQe-v: A Database-Agnostic Framework for Exploring Variability in Electronic Health Record Data Across Time and Site Location.
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Defining and measuring completeness of electronic health records for secondary use.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 29 June 2013
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vedecký článok
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vetenskaplig artikel
@sv
videnskabelig artikel
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vědecký článek
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name
Defining and measuring completeness of electronic health records for secondary use.
@en
Defining and measuring completeness of electronic health records for secondary use.
@nl
type
label
Defining and measuring completeness of electronic health records for secondary use.
@en
Defining and measuring completeness of electronic health records for secondary use.
@nl
prefLabel
Defining and measuring completeness of electronic health records for secondary use.
@en
Defining and measuring completeness of electronic health records for secondary use.
@nl
P2860
P1476
Defining and measuring completeness of electronic health records for secondary use.
@en
P2093
Nicole G Weiskopf
Sushmita Swaminathan
P2860
P304
P356
10.1016/J.JBI.2013.06.010
P577
2013-06-29T00:00:00Z