A Data Quality Assessment Guideline for Electronic Health Record Data Reuse
Weiskopf, Nicole G., Bakken, Suzanne, Hripcsak, George, Weng, Chunhua·2017·eGEMs (Generating Evidence & Methods to improve patient outcomes)
Cited by (153)
Items 101–153 of 153
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- Enhancing Data Reuse through Feature Extraction: Proposal of Concepts, Methods and Data Model (Preprint)Antoine Lamer, Mathilde Fruchart, Nicolás Paris, Benjamin Popoff, Anaïs Payen, Thibaut Balcaen, William Gacquer, Guillaume Bouzillé, Marc Cuggia A, Matthieu Doutreligne et al. · 2022
- Alerts and Collections for Automating the Patients’ Sensemaking and Organizing Their Multi-provider EHR Data for Reflection, Planning and Clinical Visits: A Qualitative User-Centered Design StudyDrashko Nakikj, David Kreda, Nils Gehlenborg · 2022
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- Adaptation of a Synergy Model-based Patient Acuity Tool for the Electronic Health RecordMei Lin Chen‐Lim, Halley Ruppel, Walter G. Faig, Eloise L. Flood, Daniel Mead, Darcy Brodecki · 2025 · CIN Computers Informatics Nursing
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- Additional file 1 of Application of openEHR archetypes to automate data quality rules for electronic health records: a case studyTian, Qi, Zhexi Han, Ping Yu, An, Jiye, Lu, Xudong, 段会龙 · 2021 · Figshare
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- Additional file 5 of A data driven learning approach for the assessment of data qualityErik Tute, Nagarajan Ganapathy, Wulff, Antje · 2021 · Figshare
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