From data to medical context: the power of categorization in healthcare
In the rapidly evolving healthcare domain, the ability to structure and interpret contextual medical data is crucial for delivering personalized and efficient patient care. While many existing studies attempt to define medical context through diverse categorizations, they often lack completeness or...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-06-01
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| Series: | Frontiers in Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2025.1575195/full |
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| author | Batoul Msheik Hamid Mcheick Sara Hariri Mehdi Adda Mohamed Dbouk |
| author_facet | Batoul Msheik Hamid Mcheick Sara Hariri Mehdi Adda Mohamed Dbouk |
| author_sort | Batoul Msheik |
| collection | DOAJ |
| description | In the rapidly evolving healthcare domain, the ability to structure and interpret contextual medical data is crucial for delivering personalized and efficient patient care. While many existing studies attempt to define medical context through diverse categorizations, they often lack completeness or applicability in the real-world healthcare domain. This paper introduces a novel and comprehensive context categorization model composed of fifteen well-defined categories, bridging the gap between theoretical models and practical requirements in telemonitoring systems for chronic disease management. By incorporating important but often overlooked components such as social determinants, Service Level Agreements (SLAs), and environmental factors our model enhances clarity and strengthens decision-making in clinical settings. We validate the applicability of this framework through detailed case studies on asthma, COPD, and cardiovascular diseases, demonstrating its utility in enhancing telehealth solutions and aiding early intervention strategies. |
| format | Article |
| id | doaj-art-8eab12adde454de0b9ae59bdf149c3f2 |
| institution | OA Journals |
| issn | 2296-858X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj-art-8eab12adde454de0b9ae59bdf149c3f22025-08-20T02:09:24ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2025-06-011210.3389/fmed.2025.15751951575195From data to medical context: the power of categorization in healthcareBatoul Msheik0Hamid Mcheick1Sara Hariri2Mehdi Adda3Mohamed Dbouk4Computer Science Département, Université du Québec à Chicoutimi, Chicoutimi, QC, CanadaComputer Science Département, Université du Québec à Chicoutimi, Chicoutimi, QC, CanadaComputer Science Département, Université du Québec à Chicoutimi, Chicoutimi, QC, CanadaDépartement de Mathématiques, Informatique et Génie, Université du Québec à Rimouski, Rimouski, QC, CanadaComputer Science Department, Université Libanaise, Hadath, LebanonIn the rapidly evolving healthcare domain, the ability to structure and interpret contextual medical data is crucial for delivering personalized and efficient patient care. While many existing studies attempt to define medical context through diverse categorizations, they often lack completeness or applicability in the real-world healthcare domain. This paper introduces a novel and comprehensive context categorization model composed of fifteen well-defined categories, bridging the gap between theoretical models and practical requirements in telemonitoring systems for chronic disease management. By incorporating important but often overlooked components such as social determinants, Service Level Agreements (SLAs), and environmental factors our model enhances clarity and strengthens decision-making in clinical settings. We validate the applicability of this framework through detailed case studies on asthma, COPD, and cardiovascular diseases, demonstrating its utility in enhancing telehealth solutions and aiding early intervention strategies.https://www.frontiersin.org/articles/10.3389/fmed.2025.1575195/fullcontext categorizationcontext of healthcare domaintelemedicinechronic diseaseclinical support |
| spellingShingle | Batoul Msheik Hamid Mcheick Sara Hariri Mehdi Adda Mohamed Dbouk From data to medical context: the power of categorization in healthcare Frontiers in Medicine context categorization context of healthcare domain telemedicine chronic disease clinical support |
| title | From data to medical context: the power of categorization in healthcare |
| title_full | From data to medical context: the power of categorization in healthcare |
| title_fullStr | From data to medical context: the power of categorization in healthcare |
| title_full_unstemmed | From data to medical context: the power of categorization in healthcare |
| title_short | From data to medical context: the power of categorization in healthcare |
| title_sort | from data to medical context the power of categorization in healthcare |
| topic | context categorization context of healthcare domain telemedicine chronic disease clinical support |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2025.1575195/full |
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