Model Formulation: Defining and Improving Data Quality in Medical Registries: A Literature Review, Case Study, and Generic Framework
By D. Arts, N. D. Keizer, G. Scheffer. J. Am. Medical Informatics Assoc., 2002
558 citations recorded by the source corpus.
Subfields: General Health Professions, Health Information Management, Public Health, Environmental and Occupational Health
View Paper: https://www.semanticscholar.org/paper/69bcf01e689818dc1f86cab7418a4bf49ab87d8a
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In General Health Professions
Citations in the corpus
- Interactive knowledge discovery with the doctor-in-the-loop: a practical example of cerebral aneurysms research (2016, background): “A medical registry is a systematic collection of a clearly defined set of health and demographic data for patients with specific health characteristics, held in a central database for a predefined purpose [37].”
- Defining and measuring completeness of electronic health records for secondary use (2013, unknown): “, based a priori upon the content) or extrinsic requirements (based upon the use) [11,12].”
- Effectiveness of recommendations to prevent reactivation of latent tuberculosis infection in patients treated with tumor necrosis factor antagonists. (2005, background): “To be reliable, data must be of high quality (19).”
- Surgical data science – from concepts toward clinical translation (2020, background): “In a registry, a specific area of practice agrees on data to be shared, outcome measures to be assessed, and standardized formats as well as quality measures for the data (Arts et al., 2002).”