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21
August, 2014
Thursday

adverse drug reactions

Data Mining Approach Shows Promise in Detecting Unexpected Drug Interactions

Hampton T. JAMA, 306(2)

Up to 1 million patients in the United States may be taking 2 medications that can lead to unexpected increases in blood glucose levels when used simultaneously. Data mining techniques have revealed that the combination of the antidepressant paroxetine and the cholesterol-lowering medication pravastatin may cause this adverse effect (Tatonetti NP et al. Clin Pharmacol Ther. doi: 10.1038/clpt.2011.83 [published online ahead of print May 25, 2011]).
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13 July 2011 | No Comments »
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Impact of health information technology on detection of potential adverse drug events at the ordering stage

Roberts LL et al, American Journal of Health-System Pharmacy, 67(21)

Purpose
The impact of implementing commercially available health care information technologies at hospitals in a large health system on the identification of potential adverse drug events (ADEs) at the medication ordering stage was studied.
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24 October 2010 | No Comments »
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Rapid identification of myocardial infarction risk associated with diabetes medications using electronic medical records

Brownstein JS et al, Diabetes Care, 33(3)

OBJECTIVE
To assess the ability to identify potential association(s) of diabetes medications with myocardial infarction using usual care clinical data obtained from the electronic medical record.
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13 June 2010 | No Comments »
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The influence of computerized prescribing on medication errors and preventable adverse drug events: an interrupted time series study

van Doormaal JE et al, J Am Med Inform Assoc, PrePrint

Objective
This study will evaluate the effect of a Computerized Physician Order Entry system with basic Clinical Decision Support (CPOE/CDSS) on the incidence of medication errors (MEs) and preventable adverse drug events (pADEs).

Design
Interrupted time-series design.
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1 September 2009 | No Comments »
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Active computerized pharmacovigilance using natural language processing, statistics, and electronic health records: a feasibility study

Wang, Xiaoyan et al, J Am Med Inform Assoc, 16, 3

OBJECTIVE
It is vital to detect the full safety profile of a drug throughout its market life. Current pharmacovigilance systems still have substantial limitations, however. The objective of our work is to demonstrate the feasibility of using natural language processing (NLP), the comprehensive Electronic Health Record (EHR), and association statistics for pharmacovigilance purposes.
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19 May 2009 | No Comments »
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Mobile phone text messaging for pharmaceutical care in a hospital in China

Mao, Yudan et al, J Telemed Telecare, 14(8)

We have developed a mobile pharmacy service system (MPSS) to deliver individualized pharmaceutical care via text messages sent to the mobile phones of patients. The text messages were: (1) reminders about medication – from the day following discharge, reminder messages were automatically sent to patients approximately 10 minutes before their medication was due to be taken. The system stopped sending messages when the prescription ran out and suggested that patients should come to hospital to renew any prescribed medicines; (2) practical information about medicines, such as information about methods of administration; (3) information about adverse drug reactions.
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16 December 2008 | No Comments »
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