October 8, 2009
Source: BMC Health Services Research, 2009, 9, 170
Follow this link for full text
Date of publication: September, 2009
Publication type: Research
In a nutshell: Electronic health record (EHR) data from 12 primary care practices was analysed for risk factor clustering using metabolic syndrome characteristics. New incidences of diabetes and coronary heart disease were examined over the next three years. The results of the research showed that risk factor clustering in EHR data identified primary care patients at increased risk of coronary heart disease and diabetes.
Length of publication: 9 pages
Some important notes: Please contact your local NHS library if you cannot access the full text. Follow this link to find your local NHS library.
Acknowledgement: BioMed Central
May 8, 2009
Source: Medical Care, 2009, 47 (4) p. 418-424
Follow this link for the abstract
Date of publication: April, 2009
Publication type: Journal article
In a nutshell: Electronic health record-based assessment, in addition to manual assessment by a physician, was performed retrospectively on a study of American adults. The two sets of results were compared and found to be similar. Since the automated risk assessment accurately identified candidates in need of therapy, it could be used to improve detection rates of high-risk patients.
Length of publication: 7 pages
Some important notes: You will need an NHS Athens username and password to access this article. Please contact your local NHS library if you cannot access the full text. Follow this link to find your local NHS library.
Further dissemination: If you think someone would benefit from receiving this posting, please e-mail them the link to this blog and suggest that they sign up to the e-mail newsletter to stay up to date with new content.