An Assessment on BIM for Smart Hospital Management Using the TOPSIS Method

BIM, or building information modelling, can be a useful technique for creating smart hospitals. Advanced technologies and data-driven systems are used by smart hospitals to improve operational effectiveness, improve patient care, and create a more connected healthcare environment. Building information modelling (BIM), which unifies multiple technologies, systems, and processes into a single digital platform, might be extremely important in the development of smart hospitals. By merging intelligent infrastructure, automation, and data-driven decision-making, BIM enables the efficient design, construction, and operation of smart hospitals. Many stakeholders in the building and architectural sectors place a high value on research in the field of building information modelling (BIM). Enhanced Project Design and Planning: BIM research enables the creation and improvement of project planning and design processes, tools, and best practises. Improvements in 3D modelling, conflict detection, visualisation, and simulation methods are included in this. Industry experts can increase their comprehension of how to use BIM successfully to optimise project planning, decrease errors, promote cooperation, and streamline the design process by doing research. By multiplying each of our goals by a weight provided by the user, we can scale our collection of goals into a single goal using the weighted sum approach. One of the most popular strategies is this one. Finding the appropriate weights to give each aim while using the weighted sum approach is a concern. Alternative Parameters taken as medical robots, portable sensors, and automated medical processes. network of things, cyber-physical system, artificial intelligence, management information system, and service technology innovation are some of the parameters used in evaluation. from the result we can see that automation of processes got 1st rank and portable sensors got last rank by using TOPSIS method we obtained that automation got 1st rank and portable sensors got last rank.

Publication Details

Journal
Computer Science Engineering and Technology
Published
2025-04-02
DOI
https://doi.org/10.46632/cset/3/1/5
Primary Topic
Smart Systems and Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

An Assessment on BIM for Smart Hospital Management Using the TOPSIS Method

Computer Science Engineering and Technology
Smart Systems and Machine Learning
article

An Assessment on BIM for Smart Hospital Management Using the TOPSIS Method

article en

Abstract

BIM, or building information modelling, can be a useful technique for creating smart hospitals. Advanced technologies and data-driven systems are used by smart hospitals to improve operational effectiveness, improve patient care, and create a more connected healthcare environment. Building information modelling (BIM), which unifies multiple technologies, systems, and processes into a single digital platform, might be extremely important in the development of smart hospitals. By merging intelligent infrastructure, automation, and data-driven decision-making, BIM enables the efficient design, construction, and operation of smart hospitals. Many stakeholders in the building and architectural sectors place a high value on research in the field of building information modelling (BIM). Enhanced Project Design and Planning: BIM research enables the creation and improvement of project planning and design processes, tools, and best practises. Improvements in 3D modelling, conflict detection, visualisation, and simulation methods are included in this. Industry experts can increase their comprehension of how to use BIM successfully to optimise project planning, decrease errors, promote cooperation, and streamline the design process by doing research. By multiplying each of our goals by a weight provided by the user, we can scale our collection of goals into a single goal using the weighted sum approach. One of the most popular strategies is this one. Finding the appropriate weights to give each aim while using the weighted sum approach is a concern. Alternative Parameters taken as medical robots, portable sensors, and automated medical processes. network of things, cyber-physical system, artificial intelligence, management information system, and service technology innovation are some of the parameters used in evaluation. from the result we can see that automation of processes got 1st rank and portable sensors got last rank by using TOPSIS method we obtained that automation got 1st rank and portable sensors got last rank.

Computer Science Engineering and TechnologyVol. 3(1 march 2025)
Openalex Percentile: Top 94%
Smart Systems and Machine Learning
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