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タイトル: A pragmatic method for electronic medical record-based observational studies: developing an electronic medical records retrieval system for clinical research.
著者: Yamamoto, Keiichi
Sumi, Eriko  KAKEN_id  orcid https://orcid.org/0000-0002-5028-0499 (unconfirmed)
Yamazaki, Toru
Asai, Keita  KAKEN_id
Yamori, Masashi
Teramukai, Satoshi
Bessho, Kazuhisa  KAKEN_id
Yokode, Masayuki  KAKEN_id
Fukushima, Masanori
著者名の別形: 山本, 景一
発行日: 31-Oct-2012
出版者: BMJ Publishing
誌名: BMJ open
巻: 2
号: 6
論文番号: e001622
抄録: [Objective]The use of electronic medical record (EMR) data is necessary to improve clinical research efficiency. However, it is not easy to identify patients who meet research eligibility criteria and collect the necessary information from EMRs because the data collection process must integrate various techniques, including the development of a data warehouse and translation of eligibility criteria into computable criteria. This research aimed to demonstrate an electronic medical records retrieval system (ERS) and an example of a hospital-based cohort study that identified both patients and exposure with an ERS. We also evaluated the feasibility and usefulness of the method. [Design] The system was developed and evaluated. [Participants] In total, 800 000 cases of clinical information stored in EMRs at our hospital were used. [Primary and secondary outcome measures]The feasibility and usefulness of the ERS, the method to convert text from eligible criteria to computable criteria, and a confirmation method to increase research data accuracy. [Results] To comprehensively and efficiently collect information from patients participating in clinical research, we developed an ERS. To create the ERS database, we designed a multidimensional data model optimised for patient identification. We also devised practical methods to translate narrative eligibility criteria into computable parameters. We applied the system to an actual hospital-based cohort study performed at our hospital and converted the test results into computable criteria. Based on this information, we identified eligible patients and extracted data necessary for confirmation by our investigators and for statistical analyses with our ERS. [Conclusions ]We propose a pragmatic methodology to identify patients from EMRs who meet clinical research eligibility criteria. Our ERS allowed for the efficient collection of information on the eligibility of a given patient, reduced the labour required from the investigators and improved the reliability of the results.
著作権等: This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license.
URI: http://hdl.handle.net/2433/167736
DOI(出版社版): 10.1136/bmjopen-2012-001622
PubMed ID: 23117567
出現コレクション:学術雑誌掲載論文等

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