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Implementation of hospital examination reservation system using data mining technique.

Hyo Soung Cha1, Tae Sik Yoon2, Ki Chung Ryu3

  • 1Information Technology Team, National Cancer Center, Goyang, Korea. ; Database/Bioinformatics Laboratory, Chungbuk National University, Cheongju, Korea.

Healthcare Informatics Research
|May 22, 2015
PubMed
Summary

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Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

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Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
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The Hospital Exam Reservation System (HERS) uses data mining to optimize medical exam scheduling, significantly reducing appointment times and improving efficiency in hospital environments. This system enhances patient satisfaction through better resource allocation and accurate recommendations.

Area of Science:

  • Health Informatics
  • Data Mining Applications
  • Hospital Management Systems

Background:

  • Increasing demand for improved patient satisfaction in hospital care.
  • Need for advanced information technology to optimize user services.
  • Limitations of traditional scheduling methods in complex medical environments.

Purpose of the Study:

  • To propose and evaluate the Hospital Exam Reservation System (HERS).
  • To leverage data mining for efficient clinical exam scheduling.
  • To enhance patient satisfaction through optimized hospital services.

Main Methods:

  • Development of HERS utilizing data mining techniques.
  • Application of a multi-examination pattern-mining algorithm for rule generation.
Keywords:
Data MiningElectronic Medical RecordsExaminations and DiagnosesHospital Information SystemSystems Integration

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  • Integration of a rule master and recommending system with clinical exam data and logs.
  • Design of a user-friendly interface for HERS.

    • Main Results:

    • HERS implementation at the National Cancer Center in Korea since June 2014.
    • Significant reduction in scheduling time for multiple conditions (e.g., 398.67% to 168.67%).
    • Increased efficiency with a greater number of tests, showing a larger time difference compared to non-HERS methods (0.18 to 0.81 days).

    Conclusions:

    • HERS demonstrates expanded efficiency in exam reservations and broader medical environments using mining technology.
    • The system improves recommendation accuracy by removing unexecuted exams based on doctor prescriptions.
    • HERS is expected to be an effective tool for various medical settings, enhancing operational efficiency and patient care.