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...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2008-01-01
|
Series: | Trials |
Online Access: | http://www.trialsjournal.com/content/9/1/2 |
id |
doaj-de1fcf99a7b54c248f5cbefc9341a58a |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT mullertidowcarsten workflowtoimprovepatientrecruitmentforclinicaltrialswithinhospitalinformationsystemsacasestudy AT berdelwolfgange workflowtoimprovepatientrecruitmentforclinicaltrialswithinhospitalinformationsystemsacasestudy AT langematthias workflowtoimprovepatientrecruitmentforclinicaltrialswithinhospitalinformationsystemsacasestudy AT dugasmartin workflowtoimprovepatientrecruitmentforclinicaltrialswithinhospitalinformationsystemsacasestudy |
_version_ |
1725858566010568704 |