Semantic Analysis Mapping Framework for Clinical Coding Schemes: A Design Science Research Approach
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Kent State University / OhioLINK
2021
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| Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=kent1640126106565051 |
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ndltd-OhioLink-oai-etd.ohiolink.edu-kent16401261065650512021-12-23T05:23:52Z Semantic Analysis Mapping Framework for Clinical Coding Schemes: A Design Science Research Approach Clunis, Julaine Information Science Bioinformatics knowledge organization clinical coding schemes biomedical terminologies mapping controlled vocabularies ontologies COVID-19 semantic web interoperability data analytics design science research The coronavirus disease 2019 (COVID-19) pandemic has revealed challenges and opportunities for data analytics, semantic interoperability, and decision making. The sharing of COVID-19 data has become crucial for leveraging research, testing drug effectiveness and therapeutic strategies, and developing policies for control, intervention, and potential eradication of this disease. Translating healthcare data between various clinical coding schemes is critical to their functioning, and semantic mappings must be established to ensure interoperability. Using design science research methodology as a guide, this work explains 1) how an ETL (Extract Transform Load) workflow tool could support the task of clinical coding scheme mapping, 2) how the mapping output from such a tool could support or affect annotation of clinical trials, particularly those used in COVID-19 research and 3) whether aspects of the socio-technical model could be leveraged to explain and assess mapping to achieve semantic interoperability in clinical coding schemes. Research outcomes include a reproducible and shareable artifact, that can be utilized beyond the domain of biomedicine in addition to observations and recommendations from the knowledge gained during the design and evaluation process of the artifact development. 2021-12-22 English text Kent State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=kent1640126106565051 http://rave.ohiolink.edu/etdc/view?acc_num=kent1640126106565051 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
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NDLTD |
| language |
English |
| sources |
NDLTD |
| topic |
Information Science Bioinformatics knowledge organization clinical coding schemes biomedical terminologies mapping controlled vocabularies ontologies COVID-19 semantic web interoperability data analytics design science research |
| spellingShingle |
Information Science Bioinformatics knowledge organization clinical coding schemes biomedical terminologies mapping controlled vocabularies ontologies COVID-19 semantic web interoperability data analytics design science research Clunis, Julaine Semantic Analysis Mapping Framework for Clinical Coding Schemes: A Design Science Research Approach |
| author |
Clunis, Julaine |
| author_facet |
Clunis, Julaine |
| author_sort |
Clunis, Julaine |
| title |
Semantic Analysis Mapping Framework for Clinical Coding Schemes: A Design Science Research Approach |
| title_short |
Semantic Analysis Mapping Framework for Clinical Coding Schemes: A Design Science Research Approach |
| title_full |
Semantic Analysis Mapping Framework for Clinical Coding Schemes: A Design Science Research Approach |
| title_fullStr |
Semantic Analysis Mapping Framework for Clinical Coding Schemes: A Design Science Research Approach |
| title_full_unstemmed |
Semantic Analysis Mapping Framework for Clinical Coding Schemes: A Design Science Research Approach |
| title_sort |
semantic analysis mapping framework for clinical coding schemes: a design science research approach |
| publisher |
Kent State University / OhioLINK |
| publishDate |
2021 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=kent1640126106565051 |
| work_keys_str_mv |
AT clunisjulaine semanticanalysismappingframeworkforclinicalcodingschemesadesignscienceresearchapproach |
| _version_ |
1723965611868946432 |