Design and Standardization of Smart Hospital Evaluation Checklist

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Hosseini Seyed Hadi; Poormoosa Poostin Saraee Yasaman; Moghimbeigi Abbas; Pouragha Behrooz

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Isfahan Medical School Year:2023 | Volume: | Issue: Page(s): 682-695

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Information Journal Paper

Title

Design and Standardization of Smart Hospital Evaluation Checklist

Author(s)

Hosseini Seyed Hadi | Poormoosa Poostin Saraee Yasaman | Moghimbeigi Abbas | Pouragha Behrooz | Issue Writer Certificate

Keywords

ChecklistQ4

HospitalsQ4

ReliabilityQ4

Smart materialsQ4

Validation studyQ4

Abstract

Background: Smart Hospitals try to reduce costs and increase the speed and accuracy by creating connection among service provider, care giver and equipment. Due to the lack of related tools for evaluating the level of smartness in Hospitals, we presented this Checklist. Methods: This cross-sectional study was conducted at Alborz University of Medical Sciences from 2022 to 2023. Initially, the main domains and parameters of smart Hospitals were collected and the content validity was determined by 14 experts- recording CVI and CVR scores. Then face validity and criterion validity were also examined. Also, the Reliability was assessed with Cronbach's alpha coefficient. Findings: Content validity of eight domains and 138 questions including: hospital building (32), hospital units (37), safety processes (17), clinical processes (6), management systems (6), patient processes (4), green management (21 indicators) and information technology (with 15) were approved. Also, face validity was approved by experts, criterion validity was obtained by expected results and Reliability with Cronbach's alpha coefficient (0.82). Conclusion: Compared to existing tools, the domains and questions presented in this study are more comprehensive and accurate and specific to the hospital's structure which is recommended for assessing the level of smartness in Hospitals.

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