The use of routinely collected clinical data for large-scale pharmacogenetic studies
by James Mackay, Ailsa Taylor
International Journal of Healthcare Technology and Management (IJHTM), Vol. 8, No. 5, 2007

Abstract: In 1995, the Audit Commission in the UK published a report on the standard of hospital records within the National Health Service. This report persuaded the Department of Health that a radical solution was needed to improve the standard recording of routine clinical care. One of the obvious rewards emanating from this improved standard would be the ability to learn new clinical knowledge from an analysis of the data collected. The UK government has made a huge investment in developing IT within the National Health Service, with the Medical Research Council also investing in a research programme in e-health and e-science. Electronic medical records hold promise for large-scale pharmacogenetic studies of drug effectiveness and safety for important diseases, including cancer. Many of the ingredients required to start the process of learning new knowledge from routinely collected clinical data are already in place. However, the vast majority of clinicians and other health professionals are unaware that we could make considerable progress on pilot work within the next few years, rather than waiting for decades.

Online publication date: Thu, 03-May-2007

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Healthcare Technology and Management (IJHTM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com