Assessing the Need for Semantic Data Integration for Surgical Biobanks—A Knowledge Representation Perspective

To improve patient outcomes after trauma, the need to decrypt the post-traumatic immune response has been identified. One prerequisite to drive advancement in understanding that domain is the implementation of surgical biobanks. This paper focuses on the outcomes of patients with one of two diagnose...

Full description

Bibliographic Details
Main Authors: Mathias Brochhausen, Justin M. Whorton, Cilia E. Zayas, Monica P. Kimbrell, Sarah J. Bost, Nitya Singh, Christoph Brochhausen, Kevin W. Sexton, Bernd Blobel
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Journal of Personalized Medicine
Subjects:
Online Access:https://www.mdpi.com/2075-4426/12/5/757
_version_ 1797498583224680448
author Mathias Brochhausen
Justin M. Whorton
Cilia E. Zayas
Monica P. Kimbrell
Sarah J. Bost
Nitya Singh
Christoph Brochhausen
Kevin W. Sexton
Bernd Blobel
author_facet Mathias Brochhausen
Justin M. Whorton
Cilia E. Zayas
Monica P. Kimbrell
Sarah J. Bost
Nitya Singh
Christoph Brochhausen
Kevin W. Sexton
Bernd Blobel
author_sort Mathias Brochhausen
collection DOAJ
description To improve patient outcomes after trauma, the need to decrypt the post-traumatic immune response has been identified. One prerequisite to drive advancement in understanding that domain is the implementation of surgical biobanks. This paper focuses on the outcomes of patients with one of two diagnoses: post-traumatic arthritis and osteomyelitis. In creating surgical biobanks, currently, many obstacles must be overcome. Roadblocks exist around scoping of data that is to be collected, and the semantic integration of these data. In this paper, the generic component model and the Semantic Web technology stack are used to solve issues related to data integration. The results are twofold: (a) a scoping analysis of data and the ontologies required to harmonize and integrate it, and (b) resolution of common data integration issues in integrating data relevant to trauma surgery.
first_indexed 2024-03-10T03:35:25Z
format Article
id doaj.art-17f69d6976a5421eae26b8f509917c0f
institution Directory Open Access Journal
issn 2075-4426
language English
last_indexed 2024-03-10T03:35:25Z
publishDate 2022-05-01
publisher MDPI AG
record_format Article
series Journal of Personalized Medicine
spelling doaj.art-17f69d6976a5421eae26b8f509917c0f2023-11-23T11:44:15ZengMDPI AGJournal of Personalized Medicine2075-44262022-05-0112575710.3390/jpm12050757Assessing the Need for Semantic Data Integration for Surgical Biobanks—A Knowledge Representation PerspectiveMathias Brochhausen0Justin M. Whorton1Cilia E. Zayas2Monica P. Kimbrell3Sarah J. Bost4Nitya Singh5Christoph Brochhausen6Kevin W. Sexton7Bernd Blobel8Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USADepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USADepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USATrauma Performance Improvement Coordinator, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USADepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL 32611, USADepartment of Animal Sciences, University of Florida, Gainesville, FL 32611, USACentral Biobank, Institute of Pathology, University and University Clinic of Regensburg, 93053 Regensburg, GermanyDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USAMedical Faculty, University of Regensburg, 93053 Regensburg, GermanyTo improve patient outcomes after trauma, the need to decrypt the post-traumatic immune response has been identified. One prerequisite to drive advancement in understanding that domain is the implementation of surgical biobanks. This paper focuses on the outcomes of patients with one of two diagnoses: post-traumatic arthritis and osteomyelitis. In creating surgical biobanks, currently, many obstacles must be overcome. Roadblocks exist around scoping of data that is to be collected, and the semantic integration of these data. In this paper, the generic component model and the Semantic Web technology stack are used to solve issues related to data integration. The results are twofold: (a) a scoping analysis of data and the ontologies required to harmonize and integrate it, and (b) resolution of common data integration issues in integrating data relevant to trauma surgery.https://www.mdpi.com/2075-4426/12/5/757surgical biobankpost-traumatic arthritisosteomyelitissemantic data integrationsystem theorybiomedical ontologies
spellingShingle Mathias Brochhausen
Justin M. Whorton
Cilia E. Zayas
Monica P. Kimbrell
Sarah J. Bost
Nitya Singh
Christoph Brochhausen
Kevin W. Sexton
Bernd Blobel
Assessing the Need for Semantic Data Integration for Surgical Biobanks—A Knowledge Representation Perspective
Journal of Personalized Medicine
surgical biobank
post-traumatic arthritis
osteomyelitis
semantic data integration
system theory
biomedical ontologies
title Assessing the Need for Semantic Data Integration for Surgical Biobanks—A Knowledge Representation Perspective
title_full Assessing the Need for Semantic Data Integration for Surgical Biobanks—A Knowledge Representation Perspective
title_fullStr Assessing the Need for Semantic Data Integration for Surgical Biobanks—A Knowledge Representation Perspective
title_full_unstemmed Assessing the Need for Semantic Data Integration for Surgical Biobanks—A Knowledge Representation Perspective
title_short Assessing the Need for Semantic Data Integration for Surgical Biobanks—A Knowledge Representation Perspective
title_sort assessing the need for semantic data integration for surgical biobanks a knowledge representation perspective
topic surgical biobank
post-traumatic arthritis
osteomyelitis
semantic data integration
system theory
biomedical ontologies
url https://www.mdpi.com/2075-4426/12/5/757
work_keys_str_mv AT mathiasbrochhausen assessingtheneedforsemanticdataintegrationforsurgicalbiobanksaknowledgerepresentationperspective
AT justinmwhorton assessingtheneedforsemanticdataintegrationforsurgicalbiobanksaknowledgerepresentationperspective
AT ciliaezayas assessingtheneedforsemanticdataintegrationforsurgicalbiobanksaknowledgerepresentationperspective
AT monicapkimbrell assessingtheneedforsemanticdataintegrationforsurgicalbiobanksaknowledgerepresentationperspective
AT sarahjbost assessingtheneedforsemanticdataintegrationforsurgicalbiobanksaknowledgerepresentationperspective
AT nityasingh assessingtheneedforsemanticdataintegrationforsurgicalbiobanksaknowledgerepresentationperspective
AT christophbrochhausen assessingtheneedforsemanticdataintegrationforsurgicalbiobanksaknowledgerepresentationperspective
AT kevinwsexton assessingtheneedforsemanticdataintegrationforsurgicalbiobanksaknowledgerepresentationperspective
AT berndblobel assessingtheneedforsemanticdataintegrationforsurgicalbiobanksaknowledgerepresentationperspective