Scientific Publications

@article{HERNANDEZIBARBURU2019189,

title = {ICD-10-CM extension with ICD-9 diagnosis codes to support integrated access to clinical legacy data},

author = {G Hernandez-Ibarburu and D Perez-Rey and E Alonso-Oset and R Alonso-Calvo and [de K Schepper] and L Meloni and B Claerhout},

url = {http://www.sciencedirect.com/science/article/pii/S1386505619301972},

doi = {https://doi.org/10.1016/j.ijmedinf.2019.06.010},

issn = {1386-5056},

year  = {2019},

date = {2019-01-01},

journal = {International Journal of Medical Informatics},

volume = {129},

pages = {189 - 197},

abstract = {Introduction 

ICD is currently the most widely used terminology to code diagnosis and procedures. The transition from ICD-9-CM to ICD-10-CM became effective on October 1, 2015 in US and many other countries. Projects that use this codification for research purposes, requires advanced methods to exploit data with both versions of ICD. Although the General Equivalence Mappings (GEMs), provided by the Centers for Medicare and Medicaid Services, might help to overcome these challenges, their direct use as translation mappings is not possible, mostly due to the further specificity of ICD-10-CM concepts. 

Objective 

We propose a methodology to generate an extended version of ICD-10-CM with selected ICD-9-CM diagnosis codes. 

Methods 

The extension was generated using the GEMs relations between concepts of both terminologies and the hierarchical relations of ICD-10-CM. 

Results 

This extended ICD-10-CM, together with modifications to the mapping of ICD-9-CM concepts that were not inserted, allows the generation of an improved translation of legacy data, raising the number of 1-to-1 correspondences by +13.81%. 

Conclusion 

The extended ICD-10-CM enables the accurate integration of ICD-9-CM and ICD-10-CM diagnosis data into a single terminology. With such analysis of data possible without having to specify both ICD-9-CM and ICD-10-CM separately for each query.},

keywords = {clinical terminologies, component, data integration, ICD-10, ICD-9, interoperability},

pubstate = {published},

tppubtype = {article}

}

@article{HERNANDEZIBARBURU201970,

title = {ICD-10-PCS extension with ICD-9 procedure codes to support integrated access to clinical legacy data},

author = {G Hernandez-Ibarburu and D Perez-Rey and E Alonso-Oset and R Alonso-Calvo and D Voets and C Mueller and B Claerhout and N V Custodix},

url = {http://www.sciencedirect.com/science/article/pii/S1386505618302181},

doi = {https://doi.org/10.1016/j.ijmedinf.2018.11.002},

issn = {1386-5056},

year  = {2019},

date = {2019-01-01},

journal = {International Journal of Medical Informatics},

volume = {122},

pages = {70 - 79},

abstract = {Since the creation of The International Classification of Diseases (ICD), new versions have been released to keep updated with the current medical knowledge. Migrations of Electronic Health Records (EHR) from ICD-9 to ICD-10-PCS as clinical procedure codification system, has been a significant challenge and involved large resources. In addition, it created new barriers for integrated access to legacy medical procedure data (frequently ICD-9 coded) with current data (frequently ICD-10-PCS coded). This work proposes a solution based on extending ICD-10-PCS with a subgroup of ICD-9-CM concepts to facilitate such integrated access. The General Equivalence Mappings (GEMs) has been used as foundation to set the terminology relations of these inserted concepts in ICD-10-PCS hierarchy, but due to the existence of 1-to-many mappings, advanced rules are required to seamlessly integrate both terminologies. With the generation of rules based on GEMs relationships, 2014 ICD-9 concepts were included within the ICD-10-PCS hierarchy. For the rest of the concepts, a new method is also proposed to increase 1-to-1 mappings. As results, with the suggested approach, the percentage of ICD-9-CM procedure concepts that can be mapped accurately (avoiding mappings to a large number of concepts) rise from 11.56% to 69.01% of ICD-9-Proc, through the extended ICD-10-PCS hierarchy.},

keywords = {clinical terminologies, component, data integration, ICD-10, ICD-9, interoperability},

pubstate = {published},

tppubtype = {article}

}

@article{hernandez2018icd,

title = {ICD-10-PCS Extension with ICD-9 Procedure Codes to Support Integrated Access to Clinical Legacy Data},

author = {G Hernandez-Ibarburu and D Perez-Rey and E Alonso-Oset and R Alonso-Calvo and D Voets and C Mueller and B Claerhout},

doi = {https://doi.org/10.1016/j.ijmedinf.2018.11.002},

year  = {2018},

date = {2018-11-16},

journal = {International Journal of Medical Informatics},

abstract = {Since the creation of The International Classification of Diseases (ICD), new versions have been released to keep updated with the current medical knowledge. Migrations of Electronic Health Records (EHR) from ICD-9 to ICD-10-PCS as clinical procedure codification system, has been a significant challenge and involved large resources. In addition, it created new barriers for integrated access to legacy medical procedure data (frequently ICD-9 coded) with current data (frequently ICD-10-PCS coded). This work proposes a solution based on extending ICD-10-PCS with a subgroup of ICD-9-CM concepts to facilitate such integrated access. The General Equivalence Mappings (GEMs) has been used as foundation to set the terminology relations of these inserted concepts in ICD-10-PCS hierarchy, but due to the existence of 1-to-many mappings, advanced rules are required to seamlessly integrate both terminologies. With the generation of rules based on GEMs relationships, 2,014 ICD-9 concepts were included within the ICD-10-PCS hierarchy. For the rest of the concepts, a new method is also proposed to increase 1-to-1 mappings. As results, with the suggested approach, the percentage of ICD-9-CM procedure concepts that can be mapped accurately (avoiding mappings to a large number of concepts) rise from 11.56% to 69.01% of ICD-9-Proc, through the extended ICD-10-PCS hierarchy.},

keywords = {clinical terminologies, component, data integration, ICD-10, ICD-9, interoperability},

pubstate = {published},

tppubtype = {article}

}

@article{pmid28601027,

title = {A semantic interoperability approach to support integration of gene expression and clinical data in breast cancer},

author = {R Alonso-Calvo and S Paraiso-Medina and D Perez-Rey and E Alonso-Oset and R van Stiphout and S Yu and V Maojo },

url = {https://www.ncbi.nlm.nih.gov/pubmed/28601027},

year  = {2017},

date = {2017-01-01},

journal = { Computers in Biology and Medicine},

volume = {87},

pages = {179--186},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid26306242,

title = {Case Study for Integration of an Oncology Clinical Site in a Semantic Interoperability Solution based on HL7 v3 and SNOMED-CT: Data Transformation Needs},

author = {A Ibrahim and A Bucur and D Perez-Rey and E Alonso-Oset and M de Hoog and A Dekker and M S Marshall},

url = {https://www.ncbi.nlm.nih.gov/pubmed/26306242},

year  = {2015},

date = {2015-01-01},

journal = {ÄMIA Jt Summits Transl Sci Proc},

volume = {2015},

pages = {71},

keywords = {},

pubstate = {published},

tppubtype = {article}

}