Assessing the practice of data quality evaluation in a national clinical data research network through a systematic scoping review in the era of real-world data | Zendy

Jiang Bian | Zendy; Tianchen Lyu | Zendy; Alexander Loiacono | Zendy; Tonatiuh Mendoza Viramontes | Zendy; Gloria Lipori | Zendy; Yi Guo | Zendy; Yonghui Wu | Zendy; Mattia Prosperi | Zendy; Thomas J. George | Zendy; Christopher A. Harle | Zendy; Elizabeth Shenkman | Zendy; William R. Hogan | Zendy

Open Access

Assessing the practice of data quality evaluation in a national clinical data research network through a systematic scoping review in the era of real-world data

Author(s) -

Jiang Bian,

Tianchen Lyu,

Alexander Loiacono,

Tonatiuh Mendoza Viramontes,

Gloria Lipori,

Yi Guo,

Yonghui Wu,

Mattia Prosperi,

Thomas J. George,

Christopher A. Harle,

Elizabeth Shenkman,

William R. Hogan

Publication year - 2020

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocaa245

Subject(s) - computer science , automatic summarization , usability , systematic review , executable , data science , correctness , data mining , information retrieval , medline , algorithm , human–computer interaction , political science , law , operating system

To synthesize data quality (DQ) dimensions and assessment methods of real-world data, especially electronic health records, through a systematic scoping review and to assess the practice of DQ assessment in the national Patient-centered Clinical Research Network (PCORnet).

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