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  Published Paper Details:

  Paper Title

Ontology Based Model for Ward Round Process in Healthcare Systems

  Authors

  Baalaji N M,  M Dhanush,  R JayaVishnoo

  Keywords

Healthcare, Decision Making, Patient Records, Semantic web Technologies

  Abstract


In the medical field, the ward round procedure is essential for managing patient care and making decisions. However, because of the unstructured and diverse nature of the information shared during these cycles, it frequently suffers from inefficiencies. This procedure can be streamlined by using an ontology-based model, which offers a formal framework for obtaining and organising medical knowledge. In order to improve the ward round procedure in healthcare systems, this study proposes an ontology-based approach. The suggested model creates a coherent framework by combining many healthcare data sources, such as clinical guidelines, treatment regimens, and patient records. The approach guarantees consistent and reliable information retrieval by utilising standardised medical ontologies and semantic web technologies, which improves communication between medical experts. In the end, the ontology-based method enhances patient outcomes by supporting evidence-based decision-making and increasing the effectiveness of ward rounds. evidence-based decision-making, cohesive organisation, patient records, and treatment regimens.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2505034

  Paper ID - 284908

  Page Number(s) - a267-a272

  Pubished in - Volume 13 | Issue 5 | May 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Baalaji N M,  M Dhanush,  R JayaVishnoo,   "Ontology Based Model for Ward Round Process in Healthcare Systems", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 5, pp.a267-a272, May 2025, Available at :http://www.ijcrt.org/papers/IJCRT2505034.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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