Name
Abstract | ||
|---|---|---|
Researchers have studied many potential sources of data for biosurveillance but have tended to focus on ambulatory visits and over-the-counter pharmaceutical sales. Data from electronic prescribing (e-prescribing) systems in an ambulatory setting have not been evaluated critically, but they may provide valuable data for surveillance. In this paper we evaluate the utility of e-prescribing data for surveillance of respiratory infections. Demographic data were analyzed to determine the differences between patients in an e-prescribing system and the general population. Correlation analysis was performed on the time-series for common respiratory tract antibiotics and the time-series for respiratory tract infection incidence. Demographic data showed a strong bias towards older people in the e-prescribing system when compared to the general population. The analysis also showed that a subset of antibiotics are highly correlated with respiratory tract indications (0.84, p |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-72608-1_18 | BioSurveillance |
Keywords | Field | DocType |
ambulatory setting,e-prescribing system,respiratory tract indication,valuable data,e-prescribing data,novel surveillance data source,respiratory tract infection incidence,respiratory infection,common respiratory tract antibiotic,demographic data,ambulatory e-prescribing,general population,time series,age groups | Data source,Population,Data mining,Ambulatory,Emergency medicine,Electronic prescribing,Ambulatory Visit,Respiratory tract infections,Computer science,Respiratory tract,Antibiotics | Conference |
Volume | ISSN | Citations |
4506 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David L. Buckeridge | 1 | 200 | 35.85 |
| Aman Verma | 2 | 28 | 4.71 |
| Robyn Tamblyn | 3 | 111 | 22.43 |