An indicator framework for assessing the readiness of hospital in the smart healthcare transformation

X. Zhao*, B. Ge

*Corresponding author for this work

    Research output: Contribution to journalConference articlepeer-review

    1 Citation (Scopus)

    Abstract

    The technical and management issues that existed in traditional healthcare institutions, such as relatively lagging technologies, untimely information, have received increasing attention. In recent decades, the reconstruction or transformation of smart healthcare system has emerged as a new research trend. Especially with the outbreak of the COVID-19 epidemic, the smart healthcare system realizes the timely allocation of medical resources and sharing of information. Therefore, this paper aims to develop an indicator framework for assessing the hospital's readiness in transforming towards smart healthcare. First, based on the literature review, an indicator framework of readiness of smart healthcare transformation is developed for smart healthcare transformation, which includes three hierarchies of "smart facility management (smart FM)", "medical system (MS)"and "organizational management (OM)". Secondly, an online questionnaire survey is conducted to test the validity of the indicator framework. Based on factor analysis, the indicator framework is proved to be effective as a whole, and all the 26 indicators are significant. Finally, the readiness of case hospital "A"in the smart healthcare transformation is examined by fuzzy synthetic evaluation method. The findings of this paper provide an assessment tool for medical institutions to self-evaluate their status in the information construction process.

    Original languageEnglish
    Article number072010
    JournalIOP Conference Series: Earth and Environmental Science
    Volume1101
    Issue number7
    DOIs
    Publication statusPublished - 2022
    EventInternational Council for Research and Innovation in Building and Construction World Building Congress 2022, WBC 2022 - Melbourne, Australia
    Duration: 27 Jun 202230 Jun 2022

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