title: Implementation of hospital examination reservation system using data mining technique.
abstract: OBJECTIVE
  New methods for obtaining appropriate information for users have been attempted with the development of information technology and the Internet. Among such methods, the demand for systems and services that can improve patient satisfaction has increased in hospital care environments.
  
  
  METHODS
  In this paper, we proposed the Hospital Exam Reservation System (HERS), which uses the data mining method. First, we focused on carrying clinical exam data and finding the optimal schedule for generating rules using the multi-examination pattern-mining algorithm. Then, HERS was applied by a rule master and recommending system with an exam log. Finally, HERS was designed as a user-friendly interface.
  
  
  RESULTS
  HERS has been applied at the National Cancer Center in Korea since June 2014. As the number of scheduled exams increased, the time required to schedule more than a single condition decreased (from 398.67% to 168.67% and from 448.49% to 188.49%; p < 0.0001). As the number of tests increased, the difference between HERS and non-HERS increased (from 0.18 days to 0.81 days).
  
  
  CONCLUSIONS
  It was possible to expand the efficiency of HERS studies using mining technology in not only exam reservations, but also the medical environment. The proposed system based on doctor prescription removes exams that were not executed in order to improve recommendation accuracy. In addition, we expect HERS to become an effective system in various medical environments.
authors.affiliation: Information Technology Team, National Cancer Center, Goyang, Korea. ; Database/Bioinformatics Laboratory, Chungbuk National University, Cheongju, Korea.
authors.forename: Hyo Soung
authors.initials: HS
authors.lastname: Cha
authors.affiliation: Information Technology Team, National Cancer Center, Goyang, Korea.
authors.forename: Tae Sik
authors.initials: TS
authors.lastname: Yoon
authors.affiliation: Patient Affair Team, National Cancer Center, Goyang, Korea.
authors.forename: Ki Chung
authors.initials: KC
authors.lastname: Ryu
authors.affiliation: Information Technology Team, National Cancer Center, Goyang, Korea.
authors.forename: Il Won
authors.initials: IW
authors.lastname: Shin
authors.affiliation: Information Technology Team, National Cancer Center, Goyang, Korea.
authors.forename: Yang Hyo
authors.initials: YH
authors.lastname: Choe
authors.affiliation: Information Technology Team, National Cancer Center, Goyang, Korea. ; Patient Affair Team, National Cancer Center, Goyang, Korea.
authors.forename: Kyoung Yong
authors.initials: KY
authors.lastname: Lee
authors.affiliation: Information Technology Team, National Cancer Center, Goyang, Korea.
authors.forename: Jae Dong
authors.initials: JD
authors.lastname: Lee
authors.affiliation: Database/Bioinformatics Laboratory, Chungbuk National University, Cheongju, Korea.
authors.forename: Keun Ho
authors.initials: KH
authors.lastname: Ryu
authors.affiliation: Information Technology Team, National Cancer Center, Goyang, Korea.
authors.forename: Seung Hyun
authors.initials: SH
authors.lastname: Chung
keywords: Data Mining; Electronic Medical Records; Examinations and Diagnoses; Hospital Information System; Systems Integration