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Data quality – The foundation of real-world studies
Real-world data, routinely collected from multiple sources outside typical clinical research settings, are useful in conducting real-world studies. Sub-optimal and inconsistent data quality is a challenging issue which should be addressed whilst planning and conducting real-world studies. This brief...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Wolters Kluwer - Medknow
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10267987/ https://www.ncbi.nlm.nih.gov/pubmed/37325580 http://dx.doi.org/10.4103/picr.picr_12_23 |
| Sumario: | Real-world data, routinely collected from multiple sources outside typical clinical research settings, are useful in conducting real-world studies. Sub-optimal and inconsistent data quality is a challenging issue which should be addressed whilst planning and conducting real-world studies. This brief review discusses the quality aspects of data needed for RWS. |
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