論文

査読有り
2008年10月

A data capture system for outcomes studies that integrates with electronic health records: Development and potential uses

JOURNAL OF MEDICAL SYSTEMS
  • Keiichi Yamamoto
  • ,
  • Shigemi Matsumoto
  • ,
  • Harue Tada
  • ,
  • Kazuhiro Yanagihara
  • ,
  • Satoshi Teramukai
  • ,
  • Tadamasa Takemura
  • ,
  • Masanori Fukushima

32
5
開始ページ
423
終了ページ
427
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1007/s10916-008-9147-7
出版者・発行元
SPRINGER

In conventional clinical studies, the costs of data management for quality control tend to be high and collecting paper-based case report forms (CRFs) tends to be burdensome, because paper-based CRFs must be developed and filled out for each clinical study protocol. Use of electronic health records for this purpose could result in reductions in cost and improvements in data quality in clinical studies. The purpose of this study was to develop a data capture system for observational cancer clinical studies (i.e. outcomes studies) that would integrate with an electronic health records system, to enable evaluation of patient prognosis, prognostic factors, outcomes and drug safety. At the Outpatient Oncology Unit of Kyoto University Hospital, we developed a data capture system that includes a cancer clinical database system and a data warehouse for outcomes studies. We expect that our new system will reduce the costs of data management and analysis and improve the quality of data in clinical studies.

リンク情報
DOI
https://doi.org/10.1007/s10916-008-9147-7
DBLP
https://dblp.uni-trier.de/rec/journals/jms/YamamotoMTYTTF08
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/18814498
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000258932600007&DestApp=WOS_CPL
URL
http://dblp.uni-trier.de/db/journals/jms/jms32.html#journals/jms/YamamotoMTYTTF08
ID情報
  • DOI : 10.1007/s10916-008-9147-7
  • ISSN : 0148-5598
  • eISSN : 1573-689X
  • DBLP ID : journals/jms/YamamotoMTYTTF08
  • PubMed ID : 18814498
  • Web of Science ID : WOS:000258932600007

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