An evaluation of the risk factors associated with implementing projects of health information technology by fuzzy combined ANP-DEMATEL Article Swipe
Roxana Sharifian
,
Farzane Ghasemi
,
Erfan Kharazmi
,
Payam Farhadi
,
Hossein Monem
,
Nasrin Shokrpour
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0279819
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0279819
Background Application of a Clinical Information System (CIS) like Electronic Patient Record (EPR), PACS system and CPOE has turned into one of the most important criteria of priorities of health care systems. The aims of the clinical information system include improving the physicians’ efficiency level, integrating the caring process, and expanding the fuzzy quality of the services offered to patients. Achievement of these benefits in reality is not an easy task, and there are lots of plans in this field which are doomed to failure. About 50% of the implementation plans of clinical information systems in health care organizations have failed, and this trend is significantly affecting industrial countries. Proper implementation of hospital information systems lies in identifying and assessing the relationships among the most important risk factors of fuzzy. The present study aimed to provide an applicable model for identifying, ranking and evaluating the risk factors associated with projects of clinical information technology in hospitals of Shiraz University of Medical Sciences. Method This is an applied study which evaluates the risk factors associated with implementation of clinical information technology projects in hospitals of Shiraz Medical Sciences University. The participants consisted of professionals and senior experts of clinical information technology. Fuzzy logic was used in this study. We also applied ANP-DEMATEL combined model with fuzzy procedure to provide the analytic model of the study Results According to the study findings, lack of top-executive supports, and unstable organizational environment were the two most important risk factors, while the main organizational factors and technology were also highly important. In addition, the factors associated with technology had the highest influence on the other studied risk factors. Conclusion Hospital authorities can benefit from this proposed model to reduce the risk of implementing the projects of clinical information technology and improve the success coefficient of the risk of such projects.
Related Topics
Concepts
Fuzzy logic
Process (computing)
Information system
Ranking (information retrieval)
Information technology
Knowledge management
Government (linguistics)
Health care
Field (mathematics)
Quality (philosophy)
Computer science
Task (project management)
Process management
Risk analysis (engineering)
Medicine
Business
Engineering
Systems engineering
Artificial intelligence
Economics
Economic growth
Electrical engineering
Epistemology
Pure mathematics
Operating system
Linguistics
Mathematics
Philosophy
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0279819
- https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0279819&type=printable
- OA Status
- gold
- Cited By
- 9
- References
- 44
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4319293650
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4319293650Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1371/journal.pone.0279819Digital Object Identifier
- Title
-
An evaluation of the risk factors associated with implementing projects of health information technology by fuzzy combined ANP-DEMATELWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-02-06Full publication date if available
- Authors
-
Roxana Sharifian, Farzane Ghasemi, Erfan Kharazmi, Payam Farhadi, Hossein Monem, Nasrin ShokrpourList of authors in order
- Landing page
-
https://doi.org/10.1371/journal.pone.0279819Publisher landing page
- PDF URL
-
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0279819&type=printableDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0279819&type=printableDirect OA link when available
- Concepts
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Fuzzy logic, Process (computing), Information system, Ranking (information retrieval), Information technology, Knowledge management, Government (linguistics), Health care, Field (mathematics), Quality (philosophy), Computer science, Task (project management), Process management, Risk analysis (engineering), Medicine, Business, Engineering, Systems engineering, Artificial intelligence, Economics, Economic growth, Electrical engineering, Epistemology, Pure mathematics, Operating system, Linguistics, Mathematics, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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9Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4, 2024: 3, 2023: 2Per-year citation counts (last 5 years)
- References (count)
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44Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| citation_normalized_percentile.value | 0.91935887 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |