Literature DB >> 11604809

Structured data entry of clinical information for documentation and data collection.

N T Cheung1, V Fung, Y Y Chow, Y Tung.   

Abstract

Routine databases containing large amounts of clinical data represent a tremendous opportunity for the evaluation of health care practices and outcomes. However, data collected for administrative purposes has limitations in content, accuracy and completeness. Routine entry of clinical information directly into clinical information systems by care providers is one strategy to address this problem. We developed a structured data entry method, the Clinical Data Framework (CDF), which has been used to support the capture of clinical information by clinicians in the normal process of care delivery. A study of the CDF over a two month period showed that it improved the accuracy of completeness of data collection over a coding method which was based on selection of ICD-9-CM codes.

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Year:  2001        PMID: 11604809

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  4 in total

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Journal:  J Am Med Inform Assoc       Date:  2003-08-04       Impact factor: 4.497

2.  Extracting nursing practice patterns from structured labor and delivery data sets.

Authors:  Eric S Hall; Sidney N Thornton
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

3.  Development of a linked perinatal data resource from state administrative and community-based program data.

Authors:  Eric S Hall; Neera K Goyal; Robert T Ammerman; Megan M Miller; David E Jones; Jodie A Short; Judith B Van Ginkel
Journal:  Matern Child Health J       Date:  2014-01

4.  Real-world efficiency of pharmacogenetic screening for carbamazepine-induced severe cutaneous adverse reactions.

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Journal:  PLoS One       Date:  2014-05-07       Impact factor: 3.240

  4 in total

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