Workflow to improve patient recruitment for clinical trials within hospital information systems – a case-study

<p>Abstract</p> <p>Background</p> <p>The identification of suitable patients is a common problem in clinical trials that is especially evident in tertiary care hospitals.</p> <p>Methods</p> <p>We developed and analysed a workflow, which uses rout...

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Main Authors: Müller-Tidow Carsten, Berdel Wolfgang E, Lange Matthias, Dugas Martin
Format: Article
Language:English
Published: BMC 2008-01-01
Series:Trials
Online Access:http://www.trialsjournal.com/content/9/1/2
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spelling doaj-de1fcf99a7b54c248f5cbefc9341a58a2020-11-24T21:56:32ZengBMCTrials1745-62152008-01-0191210.1186/1745-6215-9-2Workflow to improve patient recruitment for clinical trials within hospital information systems – a case-studyMüller-Tidow CarstenBerdel Wolfgang ELange MatthiasDugas Martin<p>Abstract</p> <p>Background</p> <p>The identification of suitable patients is a common problem in clinical trials that is especially evident in tertiary care hospitals.</p> <p>Methods</p> <p>We developed and analysed a workflow, which uses routine data captured during patient care in a hospital information system (HIS), to identify potential trial subjects. Study nurses or physicians are notified automatically by email and verify eligibility.</p> <p>Results</p> <p>As a case study we implemented the system for acute myeloid leukemia (AML) trials in Münster. During a test period of 50 days 41 patients were identified by the system. 13 could be included as new trial patients, 7 were already included during earlier visits. According to review of paper records no AML trial patient was missed by the system. In addition, the hospital information system further allowed to preselect patients for specific trials based on their disease status and individual characteristics.</p> <p>Conclusion</p> <p>Routine HIS data can be used to support patient recruitment for clinical trials by means of an automated notification workflow.</p> http://www.trialsjournal.com/content/9/1/2
collection DOAJ
language English
format Article
sources DOAJ
author Müller-Tidow Carsten
Berdel Wolfgang E
Lange Matthias
Dugas Martin
spellingShingle Müller-Tidow Carsten
Berdel Wolfgang E
Lange Matthias
Dugas Martin
Workflow to improve patient recruitment for clinical trials within hospital information systems – a case-study
Trials
author_facet Müller-Tidow Carsten
Berdel Wolfgang E
Lange Matthias
Dugas Martin
author_sort Müller-Tidow Carsten
title Workflow to improve patient recruitment for clinical trials within hospital information systems – a case-study
title_short Workflow to improve patient recruitment for clinical trials within hospital information systems – a case-study
title_full Workflow to improve patient recruitment for clinical trials within hospital information systems – a case-study
title_fullStr Workflow to improve patient recruitment for clinical trials within hospital information systems – a case-study
title_full_unstemmed Workflow to improve patient recruitment for clinical trials within hospital information systems – a case-study
title_sort workflow to improve patient recruitment for clinical trials within hospital information systems – a case-study
publisher BMC
series Trials
issn 1745-6215
publishDate 2008-01-01
description <p>Abstract</p> <p>Background</p> <p>The identification of suitable patients is a common problem in clinical trials that is especially evident in tertiary care hospitals.</p> <p>Methods</p> <p>We developed and analysed a workflow, which uses routine data captured during patient care in a hospital information system (HIS), to identify potential trial subjects. Study nurses or physicians are notified automatically by email and verify eligibility.</p> <p>Results</p> <p>As a case study we implemented the system for acute myeloid leukemia (AML) trials in Münster. During a test period of 50 days 41 patients were identified by the system. 13 could be included as new trial patients, 7 were already included during earlier visits. According to review of paper records no AML trial patient was missed by the system. In addition, the hospital information system further allowed to preselect patients for specific trials based on their disease status and individual characteristics.</p> <p>Conclusion</p> <p>Routine HIS data can be used to support patient recruitment for clinical trials by means of an automated notification workflow.</p>
url http://www.trialsjournal.com/content/9/1/2
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