Technology readiness assessment: Case of clinical decision support systems in healthcare

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dc.authorid0000-0003-1432-8958
dc.authorid0000-0001-9003-1094
dc.contributor.authorLaraichi, Oussama
dc.contributor.authorDaim, Tugrul
dc.contributor.authorAlzahrani, Saeed
dc.contributor.authorHogaboam, Liliya
dc.contributor.authorBolatan, Gulin Idil
dc.contributor.authorMoughari, Mahdieh Mokthtari
dc.date.accessioned2026-01-24T12:31:18Z
dc.date.available2026-01-24T12:31:18Z
dc.date.issued2024
dc.departmentAlanya Alaaddin Keykubat Üniversitesi
dc.description.abstractClinical Decision Support Systems (CDSS) play a critical role in modern healthcare by supporting healthcare providers in making well-informed decisions, improving patient safety and outcomes, enhancing efficiency, and promoting evidence-based practices. Their integration into clinical workflows can lead to more effective and patient-centered care. CDSS is essential tools for healthcare organizations as well as for healthcare providers to improve clinical care. However, successful implementation of CDSS can be challenging. Therefore, before implementing CDSS, it is crucial to assess the readiness of healthcare organizations to implement these tools. CDSS is essential tools in healthcare for several compelling reasons. For instance, enhanced patient safety, improved diagnostic accuracy, optimized treatment plans, consistency in care, and support for complex decisions. This study's aim is to develop a model that will help healthcare organizations identify the challenges of implementing CDSS, and to assess their readiness for such an implementation in a comprehensive and multidimensional manner. Through a literature review, the first step of this research explores the concept of clinical decision support and CDSS, discussing their features, characteristics, and organizational hurdles to implementation. It also provides perspectives on CDSS adoption in the context of information systems and health technology. The review helped to identify research gaps, objectives, and questions. To address these gaps and to attempt to answer the research questions, a Hierarchical Decision Model (HDM) is proposed. The model allows us to assess the readiness of healthcare organizations for CDSS implementation. It presents four perspectives and sixteen criteria for a multi-dimensional assessment. The methodology involves expert panels for the HDM model's refinement, validation, and quantification. Two case studies are then presented to demonstrate the HDM model's application to identify real-world CDSS implementation challenges and to provide insights and recommendations. The research contributions are evaluated against the identified gaps in the literature review, with limitations and future research presented. In conclusion, this research provides valuable insights into CDSS implementation readiness assessment and highlights the need for careful consideration and planning. The proposed HDM model offers a valuable framework for healthcare organizations to evaluate their readiness for CDSS implementation.
dc.identifier.doi10.1016/j.techsoc.2024.102736
dc.identifier.issn0160-791X
dc.identifier.issn1879-3274
dc.identifier.scopus2-s2.0-85207601965
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.techsoc.2024.102736
dc.identifier.urihttps://hdl.handle.net/20.500.12868/5799
dc.identifier.volume79
dc.identifier.wosWOS:001348580500001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Sci Ltd
dc.relation.ispartofTechnology in Society
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260121
dc.subjectClinical decision support systems
dc.subjectHealthcare
dc.subjectHierarchical decision model
dc.titleTechnology readiness assessment: Case of clinical decision support systems in healthcare
dc.typeArticle

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