Semantic Bridge for Resolving Healthcare Data Interoperability

Data Interoperability is a critical part of achieving healthcare interoperability. In this paper, we present a novel methodology for automating the schema matching process at attribute level, among three non-standard and serialized schemas. We achieved 71.8% mappings, using a four stage process with string matching, longest common substring matching using suffix tree, and ConceptNet lookup.

[1]  Pasquale Pagano,et al.  Data Interoperability , 2013, Data Sci. J..

[2]  Heather J. Ruskin,et al.  EpiGeNet: A Graph Database of Interdependencies Between Genetic and Epigenetic Events in Colorectal Cancer , 2017, J. Comput. Biol..

[3]  Johan Montagnat,et al.  A survey of RDB to RDF translation approaches and tools , 2014 .

[4]  Kathryn M McDonald,et al.  The patient is in: patient involvement strategies for diagnostic error mitigation , 2013, BMJ quality & safety.

[5]  Thomas J. S. Durant,et al.  Evaluation of relational and NoSQL database architectures to manage genomic annotations , 2016, J. Biomed. Informatics.

[6]  Kurt Stockinger,et al.  Semantic Integration and Enrichment of Heterogeneous Biological Databases. , 2019, Methods in molecular biology.

[7]  Uri Kartoun,et al.  A Methodology to Generate Virtual Patient Repositories , 2016, ArXiv.

[8]  Arnon Rosenthal,et al.  Data Interoperability: Standardization or Mediation , 1996 .

[9]  Maria Fazio,et al.  An OAIS-Based Hospital Information System on the Cloud: Analysis of a NoSQL Column-Oriented Approach , 2018, IEEE Journal of Biomedical and Health Informatics.

[10]  Patricia C. Dykes,et al.  Care coordination gaps due to lack of interoperability in the United States: a qualitative study and literature review , 2016, BMC Health Services Research.

[11]  Gregory Zacharewicz,et al.  An ontology-driven framework towards building enterprise semantic information layer , 2013, Adv. Eng. Informatics.

[12]  Sungyoung Lee,et al.  Resolving data interoperability in ubiquitous health profile using semi-structured storage and processing , 2019, SAC.

[13]  B. B. Zaidan,et al.  Open source EMR software: Profiling, insights and hands-on analysis , 2014, Comput. Methods Programs Biomed..

[14]  Catherine Havasi,et al.  ConceptNet 5.5: An Open Multilingual Graph of General Knowledge , 2016, AAAI.

[15]  M. Dimatteo,et al.  Physician Communication and Patient Adherence to Treatment : A Meta-analysis , 2018 .