IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i24p13391-d706285.html
   My bibliography  Save this article

Use of the Smart Lean Method to Conduct High-Quality Integrated Perioperative Management Prior to Hospitalization

Author

Listed:
  • Hung-Wen Tsai

    (Department of Medical Administration, Taichung Veterans General Hospital, Taichung 40705, Taiwan
    Division of Cardiovascular Surgery, Taichung Veterans General Hospital, Taichung 40705, Taiwan)

  • Su-Wen Huang

    (Department of General Affairs, Taichung Veterans General Hospital, Taichung 40705, Taiwan
    Department of Information Management, Chaoyang University of Technology, Taichung 41349, Taiwan)

  • Yin-Lurn Hung

    (Department of Medical Administration, Taichung Veterans General Hospital, Taichung 40705, Taiwan)

  • Yu-Shan Hsu

    (Department of Medical Administration, Taichung Veterans General Hospital, Taichung 40705, Taiwan)

  • Chien-Chung Huang

    (Department of Computer & Communications Center, Taichung Veterans General Hospital, Taichung 40705, Taiwan)

Abstract

Background: competition in the healthcare market is becoming increasingly intense. Health technology continues to evolve, so hospitals and clinics need to strengthen hospital management techniques and also adopt a more patient-centered approach in order to provide high-quality healthcare services, including a more simplified process and shorter waiting times for examinations. The Lean and Six Sigma methodologies and smart technology were introduced and implemented into the integrated perioperative management (PERIO) processes for the purpose of decreasing pre-admission management waiting time, as well as increasing the completion rate and quality of pre-admission management for surgical patients in a 1576-bed medical center in central Taiwan. Methods: in order to improve hospital admission procedures for surgical patients by shortening process waiting times, simplifying admission processes, emphasizing a patient-centered approach, and providing the most efficient service process, the present study applied the DMAIC architecture of the Lean Six Sigma. This approach allowed the patients to save time on the hospital admission process. The current workflow used value flow mapping to identify wasted time caused by unnecessary walking and waiting during the hospital admission process. Therefore, we improved the process cycle for each patient by simultaneously selecting and controlling the process for the purpose of saving time. Results: the experimental results show that the percentage of Process Cycle Efficiency (PCE) increased from 35.42% to 42.47%, Value Added was reduced from 34 to 31 min, and Non-Value Added was reduced from 62 to 42 min. The satisfaction score of the 97 pre-implementation patients was 4.29 compared with 4.40 among the 328 post-implementation patients ( p < 0.05). The LOS (Length of Stay) of 2660 pre-implementation patients was 2.49~3.31 days and for 304 after-implementation patients it was 1.16~1.57 days. Conclusions: by integrating different units and establishing standard perioperative management (PERIO) procedures, together with the support of the information systems, the time spent by patients on hospital admission procedures was shortened. These changes also improved the comprehensiveness of the preoperative preparations and the surgical safety of patients, thereby facilitating the provisions necessary for high-quality healthcare services. This in turn reduced the average length of hospital stays and increased the turnover of patients, benefiting the overall operations of the hospital.

Suggested Citation

  • Hung-Wen Tsai & Su-Wen Huang & Yin-Lurn Hung & Yu-Shan Hsu & Chien-Chung Huang, 2021. "Use of the Smart Lean Method to Conduct High-Quality Integrated Perioperative Management Prior to Hospitalization," IJERPH, MDPI, vol. 18(24), pages 1-16, December.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:24:p:13391-:d:706285
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/24/13391/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/24/13391/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jui-Che Tu & Shi Chen Luo & Yi-Lin Lee & Ming-Feng Shih & Shu-Ping Chiu, 2022. "Exploring Usability and Patient Attitude towards a Smart Hospital Service with the Technology Acceptance Model," IJERPH, MDPI, vol. 19(10), pages 1-19, May.
    2. Diego Tlapa & Guilherme Tortorella & Flavio Fogliatto & Maneesh Kumar & Alejandro Mac Cawley & Roberto Vassolo & Luis Enberg & Yolanda Baez-Lopez, 2022. "Effects of Lean Interventions Supported by Digital Technologies on Healthcare Services: A Systematic Review," IJERPH, MDPI, vol. 19(15), pages 1-23, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:24:p:13391-:d:706285. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.