Name
Abstract | ||
|---|---|---|
Data integration of medical information to be stored in EMR, HER and/or PHR is a challenging issue, especially for the sensitive nature of such data. Here we present a simple tool for medical data integration for semi structured sources (as healthcare provider websites); to cope with semantics, SNOMED-CT clinical terminology is exploited. Final results are formatted according to the HL7 standard to facilitate further integration. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-16486-1_115 | NEW CONTRIBUTIONS IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 1, PT 1 |
Keywords | Field | DocType |
HL7,Ontologies,EHR,PHR,FSE,data integration,database | Data integration,Ontology (information science),Terminology,Information retrieval,Computer science,SNOMED CT,Semantics | Conference |
Volume | ISSN | Citations |
353 | 2194-5357 | 1 |
PageRank | References | Authors |
0.36 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alessandro Longheu | 1 | 142 | 29.98 |
| Vincenza Carchiolo | 2 | 261 | 51.62 |
| Michele Malgeri | 3 | 219 | 42.79 |