Development of a chemotherapy regimen interaction database for the mobile internet : detecting interactions with psychotropics through OncoRx-MI
Yap, Kevin Yi-Lwern, Chui, Wai Keung and Chan, Alexandre. (2011) Development of a chemotherapy regimen interaction database for the mobile internet : detecting interactions with psychotropics through OncoRx-MI. Informatics for Health and Social Care, Vol.36 (No.3). pp. 132-146. ISSN 1753-8157
WRAP_WarwickU-Manuscript_OncoRx-MI_YapK.pdf - Submitted Version - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
WRAP_WarwickU-Figures_OncoRx-MI_YapK.pdf - Supplemental Material - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Official URL: http://dx.doi.org/10.3109/17538157.2011.584996
Introduction. Cancer patients are at high risk of drug-drug interactions (DDIs). Clinicians need to know the magnitude of DDIs so as to better manage their patients' drug therapies. We have previously created a novel interaction database for oncology prescriptions (OncoRx). In this project, we leverage on 3G networks to further develop this database into an iPhone-specific application for the mobile internet (OncoRx-MI).
Methodology. Data on anticancer drugs (ACDs), chemotherapy regimens (CRegs) and DDIs with psychotropics were compiled from various hardcopy and online resources, and published articles from PubMed, Scopus and Science Direct. The database and iPhone web documents were designed using Adobe Dreamweaver CS4 and associated with a combination of open-source programming scripts.
Results. OncoRx-MI currently detects over 5000 DDIs (69.3% pharmacokinetic, 30.7% pharmacodynamic) between 256 single-agent and combination CRegs with 51 psychotropic drugs. OncoRx-MI fits the iPhone screen configuration, and displays information regarding the regimen, pharmacokinetics of the drugs and detected DDIs in tabular format for improved usability.
Conclusion. OncoRx-MI is the first mobile DDI application of its kind which detects interactions for combination CRegs. Future versions will include DDIs with other drug categories. Usability studies on its impact in clinical practice will also be carried out.
|Item Type:||Journal Article|
|Subjects:||Q Science > QA Mathematics
R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer)
R Medicine > RM Therapeutics. Pharmacology
|Divisions:||Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)|
|Library of Congress Subject Headings (LCSH):||iPhone (Smartphone) -- Computer programs, Drug interactions -- Computer programs, Antineoplastic agents -- Computer programs, Chemotherapy -- Computer programs, Psychotropic drugs -- Computer programs|
|Journal or Publication Title:||Informatics for Health and Social Care|
|Official Date:||September 2011|
|Number of Pages:||15|
|Page Range:||pp. 132-146|
|Access rights to Published version:||Restricted or Subscription Access|
|Funder:||National University of Singapore|
1. Yap TA, Carden CP, Kaye SB. Beyond chemotherapy: targeted therapies in ovarian cancer. Nat Rev Cancer 2009;9:167-181.
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