Korean J Radiol.  2019 Feb;20(2):182-189. 10.3348/kjr.2018.0621.

Implementation of Korean Clinical Imaging Guidelines: A Mobile App-Based Decision Support System

Affiliations
  • 1Division of Biomedical Informatics, Seoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul, Korea.
  • 2Department of Radiology, Ajou University School of Medicine, Suwon, Korea. radhej@naver.com
  • 3Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • 4Division for Healthcare Technology Assessment Research, National Evidence-Based Healthcare Collaborating Agency, Seoul, Korea.
  • 5Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • 6Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.

Abstract


OBJECTIVE
The aims of this study were to develop a mobile app-based clinical decision support system (CDSS) for implementation of Korean clinical imaging guidelines (K-CIGs) and to assess future developments therein.
MATERIALS AND METHODS
K-CIGs were implemented in the form of a web-based application (http://cdss.or.kr/). The app containing K-CIGs consists of 53 information databases, including 10 medical subspecialties and 119 guidelines, developed by the Korean Society of Radiology (KSR) between 2015 and 2017. An email survey consisting of 18 questions on the implementation of K-CIGs and the mobile app-based CDSS was distributed to 43 members of the guideline working group (expert members of the KSR and Korean Academy of Oral and Maxillofacial Radiology) and 23 members of the consultant group (clinical experts belonging to related medical societies) to gauge opinion on the future developmental direction of K-CIGs.
RESULTS
The web-based mobile app can be downloaded from the Google Play Store. Detailed information on the grade of recommendation, evidence level, and radiation dose for each imaging modality in the K-CIGs can be accessed via the home page and side menus. In total, 32 of the 66 experts contacted completed the survey (response rate, 45%). Twenty-four of the 32 respondents were from the working group and eight were from the consulting group. Most (93.8%) of the respondents agreed on the need for ongoing development and implementation of K-CIGs.
CONCLUSION
This study describes the mobile app-based CDSS designed for implementation of K-CIGs in Korea. The results will allow physicians to have easy access to the K-CIGs and encourage appropriate use of imaging modalities.

Keyword

Medical cost; Imaging modality; Health insurance system; Healthcare expense

MeSH Terms

Consultants
Decision Support Systems, Clinical
Electronic Mail
Humans
Korea
Mobile Applications
Surveys and Questionnaires

Figure

  • Fig. 1 Algorithm for mobile app-based CDSS.K-CIGs can be searched for using keywords (symptoms or diseases) or by 10 subspecialty categories (via home page and side menus). CDSS = clinical decision support system, K-CIGs = Korean clinical imaging guidelines

  • Fig. 2 Information on recommendation grade, evidence level, and radiation dose provided by K-CIGs.CT = computed tomography, CTA = computed tomography angiography, IVU = intravenous urography, MRI = magnetic resonance imaging, PA=posteroanterior, RRL = relative radiation level, UGIS = upper gastrointestinal imaging series

  • Fig. 3 Radiologic subspecialties represented by respondents (multiple responses possible).


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