Name
Abstract | ||
|---|---|---|
The cityEHR is an example of an open source EHR system which stores clinical data as collections of XML documents. The records gathered in routine clinical care are a rich source of longitudinal data for use in clinical studies. We describe how the standard language XQuery can be used to identify cohorts of patients, matching specified criteria. We discuss methods for ensuring good data quality and the issues in implementing XML queries on longitudinal data sets. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.3233/978-1-61499-742-9-65 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
EHR,Longitudinal Data,HL7 CDA,XQuery,Cohort Studies | Data set,Data quality,XML,Standard language,Documentation,Medicine,Database,XQuery | Conference |
Volume | ISSN | Citations |
234 | 0926-9630 | 0 |
PageRank | References | Authors |
0.34 | 1 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| John Chelsom | 1 | 0 | 0.68 |
| Naveed Dogar | 2 | 0 | 0.68 |