Utility of an automated notification system for recruitment of research subjects

BackgroundExperience with a novel method of notifying investigators about research subjects in a university-based emergency department (ED) is reported.MethodsAn automated paging system was linked to the electronic medical record to identify inclusion criteria and notify investigators at the time of...

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Published inEmergency medicine journal : EMJ Vol. 27; no. 10; pp. 786 - 787
Main Authors Cardozo, Eden, Meurer, William J, Smith, Barbara L, Holschen, Jolie C
Format Journal Article
LanguageEnglish
Published England BMJ Publishing Group Ltd and the British Association for Accident & Emergency Medicine 01.10.2010
BMJ Publishing Group LTD
Subjects
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ISSN1472-0205
1472-0213
1472-0213
DOI10.1136/emj.2009.081299

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Abstract BackgroundExperience with a novel method of notifying investigators about research subjects in a university-based emergency department (ED) is reported.MethodsAn automated paging system was linked to the electronic medical record to identify inclusion criteria and notify investigators at the time of ED triage. The rate of study enrolment 2 months before and after implementation of the automated system was compared and the time from triage completion to investigator notification was assessed.ResultsDuring the first 2-month period, 1/17 eligible patients were identified by staff. During the second 2-month period, 1/7 eligible patients were identified by staff while the automated paging system recognised 7/7 eligible patients, an absolute increase of 94.5%. The median time from completion of triage to automated notification of investigators was 0 min.ConclusionAutomated paging using the electronic medical record has the potential to improve enrolment in clinical research studies by improving the speed and sensitivity of identifying eligible subjects.
AbstractList BackgroundExperience with a novel method of notifying investigators about research subjects in a university-based emergency department (ED) is reported.MethodsAn automated paging system was linked to the electronic medical record to identify inclusion criteria and notify investigators at the time of ED triage. The rate of study enrolment 2 months before and after implementation of the automated system was compared and the time from triage completion to investigator notification was assessed.ResultsDuring the first 2-month period, 1/17 eligible patients were identified by staff. During the second 2-month period, 1/7 eligible patients were identified by staff while the automated paging system recognised 7/7 eligible patients, an absolute increase of 94.5%. The median time from completion of triage to automated notification of investigators was 0 min.ConclusionAutomated paging using the electronic medical record has the potential to improve enrolment in clinical research studies by improving the speed and sensitivity of identifying eligible subjects.
Background Experience with a novel method of notifying investigators about research subjects in a university-based emergency department (ED) is reported. Methods An automated paging system was linked to the electronic medical record to identify inclusion criteria and notify investigators at the time of ED triage. The rate of study enrolment 2 months before and after implementation of the automated system was compared and the time from triage completion to investigator notification was assessed. Results During the first 2-month period, 1/17 eligible patients were identified by staff. During the second 2-month period, 1/7 eligible patients were identified by staff while the automated paging system recognised 7/7 eligible patients, an absolute increase of 94.5%. The median time from completion of triage to automated notification of investigators was 0 min. Conclusion Automated paging using the electronic medical record has the potential to improve enrolment in clinical research studies by improving the speed and sensitivity of identifying eligible subjects.
Experience with a novel method of notifying investigators about research subjects in a university-based emergency department (ED) is reported.BACKGROUNDExperience with a novel method of notifying investigators about research subjects in a university-based emergency department (ED) is reported.An automated paging system was linked to the electronic medical record to identify inclusion criteria and notify investigators at the time of ED triage. The rate of study enrolment 2 months before and after implementation of the automated system was compared and the time from triage completion to investigator notification was assessed.METHODSAn automated paging system was linked to the electronic medical record to identify inclusion criteria and notify investigators at the time of ED triage. The rate of study enrolment 2 months before and after implementation of the automated system was compared and the time from triage completion to investigator notification was assessed.During the first 2-month period, 1/17 eligible patients were identified by staff. During the second 2-month period, 1/7 eligible patients were identified by staff while the automated paging system recognised 7/7 eligible patients, an absolute increase of 94.5%. The median time from completion of triage to automated notification of investigators was 0 min.RESULTSDuring the first 2-month period, 1/17 eligible patients were identified by staff. During the second 2-month period, 1/7 eligible patients were identified by staff while the automated paging system recognised 7/7 eligible patients, an absolute increase of 94.5%. The median time from completion of triage to automated notification of investigators was 0 min.Automated paging using the electronic medical record has the potential to improve enrolment in clinical research studies by improving the speed and sensitivity of identifying eligible subjects.CONCLUSIONAutomated paging using the electronic medical record has the potential to improve enrolment in clinical research studies by improving the speed and sensitivity of identifying eligible subjects.
Experience with a novel method of notifying investigators about research subjects in a university-based emergency department (ED) is reported. An automated paging system was linked to the electronic medical record to identify inclusion criteria and notify investigators at the time of ED triage. The rate of study enrolment 2 months before and after implementation of the automated system was compared and the time from triage completion to investigator notification was assessed. During the first 2-month period, 1/17 eligible patients were identified by staff. During the second 2-month period, 1/7 eligible patients were identified by staff while the automated paging system recognised 7/7 eligible patients, an absolute increase of 94.5%. The median time from completion of triage to automated notification of investigators was 0 min. Automated paging using the electronic medical record has the potential to improve enrolment in clinical research studies by improving the speed and sensitivity of identifying eligible subjects.
Author Cardozo, Eden
Holschen, Jolie C
Meurer, William J
Smith, Barbara L
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crossref_primary_10_1136_amiajnl_2011_000115
crossref_primary_10_1177_2377960819850972
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Snippet BackgroundExperience with a novel method of notifying investigators about research subjects in a university-based emergency department (ED) is...
Background Experience with a novel method of notifying investigators about research subjects in a university-based emergency department (ED) is reported....
Experience with a novel method of notifying investigators about research subjects in a university-based emergency department (ED) is reported. An automated...
Experience with a novel method of notifying investigators about research subjects in a university-based emergency department (ED) is...
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SubjectTerms Automation
Confidence intervals
data management
Electronic Health Records
Emergency Medicine
Hospital Information Systems
Humans
Management
Medical records
mental health
Paging systems
Patient Selection
Patients
Reminder Systems
Research Subjects
Telecommunications
Title Utility of an automated notification system for recruitment of research subjects
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