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Data Standards in Clinical Research: Gaps, Overlaps, Challenges and Future Directions
Author(s) -
Rachel Richesson,
Jeffrey P. Krischer
Publication year - 2007
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 - 10.1197/jamia.m2470
Subject(s) - terminology , informatics , quality (philosophy) , translational research , data quality , health informatics , data science , health care , computer science , medicine , business , political science , service (business) , philosophy , linguistics , epistemology , pathology , marketing , law
Current efforts to define and implement health data standards are driven by issues related to the quality, cost and continuity of care, patient safety concerns, and desires to speed clinical research findings to the bedside. The President's goal for national adoption of electronic medical records in the next decade, coupled with the current emphasis on translational research, underscore the urgent need for data standards in clinical research. This paper reviews the motivations and requirements for standardized clinical research data, and the current state of standards development and adoption--including gaps and overlaps--in relevant areas. Unresolved issues and informatics challenges related to the adoption of clinical research data and terminology standards are mentioned, as are the collaborations and activities the authors perceive as most likely to address them.

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