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Open Access 01-12-2008 | Research

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

Authors: Martin Dugas, Matthias Lange, Wolfgang E Berdel, Carsten Müller-Tidow

Published in: Trials | Issue 1/2008

Abstract

Background

The identification of suitable patients is a common problem in clinical trials that is especially evident in tertiary care hospitals.

Methods

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.

Results

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.

Conclusion

Routine HIS data can be used to support patient recruitment for clinical trials by means of an automated notification workflow.

Available only for authorised users

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Title: Workflow to improve patient recruitment for clinical trials within hospital information systems – a case-study
Authors: Martin Dugas
Matthias Lange
Wolfgang E Berdel
Carsten Müller-Tidow
Publication date: 01-12-2008
Publisher: BioMed Central
Published in: Trials / Issue 1/2008
Electronic ISSN: 1745-6215
DOI: https://doi.org/10.1186/1745-6215-9-2

Keynote webinar | Spotlight on medication adherence

Springer Medicine

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

Abstract

Background

Methods

Results

Conclusion

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusion

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