scholarly journals Computer physician order entry (CPOE) as a strategy to estimate laboratory activity and costs associated with cancer clinical trials

2018 ◽  
Vol 28 (3) ◽  
Author(s):  
Enrique Rodriguez-Borja ◽  
Africa Corchon-Peyrallo ◽  
Macarena Diaz-Gimenez ◽  
Arturo Carratala-Calvo
Keyword(s):  
Clinical Trials ◽  
Cancer Clinical Trials ◽  
Order Entry ◽  
Laboratory Activity ◽  
Physician Order Entry

scholarly journals Using real-time alerts for clinical trials

2011 ◽  
Vol 02 (04) ◽  
pp. 472-482 ◽  
Author(s):  
E. Chow ◽  
M. Zuberi ◽  
R. Seto ◽  
S. Hota ◽  
E.N. Fish ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Real Time ◽  
Influenza Virus Infection ◽  
Pharmaceutical Products ◽  
Computerized Physician Order Entry ◽  
Order Entry ◽  
Safety And Efficacy ◽  
Potential Study ◽  
Alerting System ◽  
Physician Order Entry

SummaryBackground: Clinical trials are widely accepted as a necessary step in evaluating the safety and efficacy of new pharmaceutical products. In order for a sufficiently powered study, a clinical trial depends on the effective and unbiased recruitment of eligible patients. Trials involving seasonal diseases like influenza pose additional challenges.Objective: This is a feasibility study of a mobile real-time alerting system to systematically identify potential study subjects for a randomized controlled trial evaluating the safety and efficacy of early intervention with interferon alfacon-1 for patients hospitalized for influenza virus infection. Methods: The alerting system was setup in a 471-bed acute care teaching hospital, enabled with computerized physician order entry (CPOE) and a rules-based alerting system. Patients were identified from the entire hospital using two alerts types: pharmacy prescription records for antiviral drugs, and positive influenza laboratory results. Email alerts were generated and sent to BlackBerry® devices carried by the study personnel for a 6 month period. The alerts were archived automatically on a secure server and were exported for analysis in Microsoft Access.Results: Over a period of 21 weeks, 779 total alerts were received. The study team was alerted to 241 patients, of whom 85 were potential study subjects. The alert system identified all but one of the patients independently identified by infection control.Conclusions: Real-time identification of potential study subjects is possible with the integration of computerized physician order entry and BlackBerry® technology. It is a viable method for the systematic identification of patients throughout a hospital, particularly for trials investigating time-sensitive disease progression.

Signaling inhibition with radiation in colorectal cancer: Clinical trials

2003 ◽  
Vol 30 (3 Suppl 6) ◽  
pp. 56-67 ◽  
Author(s):  
W. Gillies McKenna ◽  
Ruth J. Muschel ◽  
Anjali Gupta ◽  
Stephen Hahn ◽  
Eric J. Bernhard
Keyword(s):  
Colorectal Cancer ◽  
Clinical Trials ◽  
Cancer Clinical Trials

scholarly journals Publication Rate and Characteristics of Lung Cancer Clinical Trials

2019 ◽  
Vol 2 (11) ◽  
pp. e1914531
Author(s):  
Ghassan Al-Shbool ◽  
Hira Latif ◽  
Saira Farid ◽  
Shuqi Wang ◽  
Jaeil Ahn ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Clinical Trials ◽  
Publication Rate ◽  
Cancer Clinical Trials
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