An adaptive semantic based mediation system for data interoperability among health information systems
Journal article
Khan, Wajahat Ali, Khattak, Asad Masood, Hussain, Maqbool, Amin, Muhammad Bilal, Afzal, Muhammad, Nugent, Christopher and Lee, Sungyoung 2014. An adaptive semantic based mediation system for data interoperability among health information systems. Journal of Medical Systems. 38 (8). https://doi.org/10.1007/s10916-014-0028-y
| Authors | Khan, Wajahat Ali, Khattak, Asad Masood, Hussain, Maqbool, Amin, Muhammad Bilal, Afzal, Muhammad, Nugent, Christopher and Lee, Sungyoung |
|---|---|
| Abstract | Heterogeneity in the management of the complex medical data, obstructs the attainment of data level interoperability among Health Information Systems (HIS). This diversity is dependent on the compliance of HISs with different healthcare standards. Its solution demands a mediation system for the accurate interpretation of data in different heterogeneous formats for achieving data interoperability. We propose an adaptive AdapteR Interoperability ENgine mediation system called ARIEN, that arbitrates between HISs compliant to different healthcare standards for accurate and seamless information exchange to achieve data interoperability. ARIEN stores the semantic mapping information between different standards in the Mediation Bridge Ontology (MBO) using ontology matching techniques. These mappings are provided by our System for Parallel Heterogeneity (SPHeRe) matching system and Personalized-Detailed Clinical Model (P-DCM) approach to guarantee accuracy of mappings. The realization of the effectiveness of the mappings stored in the MBO is evaluation of the accuracy in transformation process among different standard formats. We evaluated our proposed system with the transformation process of medical records between Clinical Document Architecture (CDA) and Virtual Medical Record (vMR) standards. The transformation process achieved over 90 % of accuracy level in conversion process between CDA and vMR standards using pattern oriented approach from the MBO. The proposed mediation system improves the overall communication process between HISs. It provides an accurate and seamless medical information exchange to ensure data interoperability and timely healthcare services to patients. |
| Keywords | Heterogeneity, complex medical data, attainment of data level interoperability |
| Year | 2014 |
| Journal | Journal of Medical Systems |
| Journal citation | 38 (8) |
| Publisher | Springer Science and Business Media LLC |
| ISSN | 0148-5598 |
| 1573-689X | |
| Digital Object Identifier (DOI) | https://doi.org/10.1007/s10916-014-0028-y |
| Web address (URL) | http://hdl.handle.net/10545/624841 |
| http://www.springer.com/tdm | |
| hdl:10545/624841 | |
| Publication dates | 26 Jun 2014 |
| Publication process dates | |
| Deposited | 29 May 2020, 12:16 |
| Accepted | 07 Mar 2014 |
| Contributors | Kyung Hee University, Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do, 446-701, Republic of Korea and University of Ulster Newtownabbey, Co. Antrim, Northern Ireland |
| File | File Access Level Open |
Permalink -
https://repository.derby.ac.uk/item/926zw/an-adaptive-semantic-based-mediation-system-for-data-interoperability-among-health-information-systems
Download files
53
total views0
total downloads2
views this month0
downloads this month
Export as
Related outputs
Optimizing Aerospace Product Maintenance A Novel Multi-Modal Knowledge Graph and LLM Approach for Enhanced Decision Support
Awill, R., Khan, W., Hussain, M. and Anderson, B. 2024. Optimizing Aerospace Product Maintenance A Novel Multi-Modal Knowledge Graph and LLM Approach for Enhanced Decision Support. The Extended Semantic Web Conference 2024: Fabrics of Knowledge: Knowledge Graphs and Generative AI. The Extended Semantic Web .A unified graph model based on molecular data binning for disease subtyping
Hassan Zada, M., Yuan, B, Khan, W., Anjum, A., Reiff-Marganiec, S. and Saleem, R. 2022. A unified graph model based on molecular data binning for disease subtyping. Journal of Biomedical Informatics. pp. 1-24. https://doi.org/10.1016/j.jbi.2022.104187
Large-scale Data Integration Using Graph Probabilistic Dependencies (GPDs)
Zada, Muhammad Sadiq Hassan, Yuan, Bo, Anjum, Ashiq, Azad, Muhammad Ajmal, Khan, Wajahat Ali and Reiff-Marganiec, Stephan 2020. Large-scale Data Integration Using Graph Probabilistic Dependencies (GPDs). IEEE. https://doi.org/10.1109/bdcat50828.2020.00028Tweets classification and sentiment analysis for personalized tweets recommendation
Batool, Rabia, Satti, Fahad Ahmed, Hussain, Jamil, Khan, Wajahat Ali, Khan, Adil Mehmood and Hayat, Bashir 2020. Tweets classification and sentiment analysis for personalized tweets recommendation. Complexity in Deep Neural Networks. 2020. https://doi.org/10.1155/2020/8892552Entropy Based Features Distribution for Anti-DDoS Model in SDN
Raja Majid Ali Ujjan, Zeeshan Pervez, Keshav Dahal, Wajahat Ali Khan, Asad Masood Khattak and Bashir Hayat 2021. Entropy Based Features Distribution for Anti-DDoS Model in SDN. Sustainability. 13 (3), pp. 1-27. https://doi.org/10.3390/su13031522Ubiquitous health profile (UHPr): a big data curation platform for supporting health data interoperability
Satti, Fahad Ahmed, Ali, Taqdir, Hussain, Jamil, Khan, Wajahat Ali, Khattak, Asad Masood and Lee, Sungyoung 2020. Ubiquitous health profile (UHPr): a big data curation platform for supporting health data interoperability. Computing. https://doi.org/10.1007/s00607-020-00837-2Data-driven knowledge acquisition, validation, and transformation into HL7 Arden Syntax
Hussain, Maqbool, Afzal, Muhammad, Ali, Taqdir, Ali, Rahman, Khan, Wajahat Ali, Jamshed, Arif, Lee, Sungyoung, Kang, Byeong Ho and Latif, Khalid 2015. Data-driven knowledge acquisition, validation, and transformation into HL7 Arden Syntax. Artificial Intelligence in Medicine. 92, pp. 51-70. https://doi.org/10.1016/j.artmed.2015.09.008The mining minds digital health and wellness framework
Banos, Oresti, Bilal Amin, Muhammad, Khan, Wajahat Ali, Afzal, Muhammad, Hussain, Maqbool, Kang, Byeong Ho and Lee, Sungyong 2016. The mining minds digital health and wellness framework. BioMedical Engineering OnLine. 15 (S1). https://doi.org/10.1186/s12938-016-0179-9Multi-model-based interactive authoring environment for creating shareable medical knowledge
Ali, Taqdir, Hussain, Maqbool, Khan, Wajahat Ali, Afzal, Muhammad, Hussain, Jamil, Ali, Rahman, Hassan, Waseem, Jamshed, Arif, Kang, Byeong Ho and Lee, Sungyoung 2017. Multi-model-based interactive authoring environment for creating shareable medical knowledge. Computer Methods and Programs in Biomedicine. 150, pp. 41-72. https://doi.org/10.1016/j.cmpb.2017.07.010Mapping evolution of dynamic web ontologies
Khattak, A.M., Pervez, Z., Khan, Wajahat Ali, Khan, A.M., Latif, K. and Lee, S.Y. 2015. Mapping evolution of dynamic web ontologies. Information Sciences. 303, pp. 101-119. https://doi.org/10.1016/j.ins.2014.12.040The intelligent medical platform: a novel dialogue-based platform for health-care services
Taqdir Ali, Jamil Hussain, Muhammad Bilal Amin, Musarrat Hussain, Usman Akhtar, Wajahat Ali Khan, Sungyoung Lee, Byeong Ho Kang, Maqbool Hussain, Muhammad Afzal, Hyeong Won Yu, Ubaid Ur Rehman, Ho-Seong Han, June Young Choi and Arif Jamshed The intelligent medical platform: a novel dialogue-based platform for health-care services. Computer. https://doi.org/10.1109/mc.2019.2924393Exploring the dominant features of social media for depression detection
Hussain, J., Satti, F.A., Afzal, M., Khan, W.A., Bilal, H.S.M., Ansaar, M.Z., Ahmad, H.F., Hur, T., Bang, J., Kim, J.-I., Park, G.H., Seung, H., Lee, S. and Khan, W. Exploring the dominant features of social media for depression detection. Journal of Information Science. https://doi.org/10.1177/0165551519860469