Comparing semi-automatic systems for recruitment of patients to clinical trials

Cuggia, Marc; Besana, Paolo; Glasspool, David

doi:10.1016/j.ijmedinf.2011.02.003

Cited by 72 publications

(72 citation statements)

References 49 publications

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“…A variety of reports have been published on support systems for clinical trial recruitment, and these are reviewed by Köpcke and Prokosch [11] as well as Cuggia et al [10]. Although the recruitment support system was not the primary aim in the development of the PRAEG-NANT study, it was used for this purpose in the analysis presented here.…”

Section: Discussionmentioning

confidence: 99%

“…Electronic systems to support the recruitment of trial subjects have previously been implemented by comparing electronic data with eligibility criteria to provide candidate lists for subsequent physician review [7][8][9][10][11]. Such systems have so far been based on the secondary use of data captured in electronic health records (EHRs) during the provision of routine clinical care.…”

Section: Introductionmentioning

confidence: 99%

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Computerized patient identification for the EMBRACA clinical trial using real-time data from the PRAEGNANT network for metastatic breast cancer patients

Hein

Gaß

Walter

et al. 2016

Breast Cancer Res Treat

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As breast cancer is a diverse disease, clinical trials are becoming increasingly diversified and are consequently being conducted in very small subgroups of patients, making study recruitment increasingly difficult. The aim of this study was to assess the use of data from a remote data entry system that serves a large national registry for metastatic breast cancer. The PRAEGNANT network is a real-time registry with an integrated biomaterials bank that was designed as a scientific study and as a means of identifying patients who are eligible for clinical trials, based on clinical and molecular information. Here, we report on the automated use of the clinical data documented to identify patients for a clinical trial (EMBRACA) for patients with metastatic breast cancer. The patients' charts were assessed by two independent physicians involved in the clinical trial and also by a computer program that tested patients for eligibility using a structured query language script. In all, 326 patients from two study sites in the PRAEGNANT network were included in the analysis. Using expert assessment, 120 of the 326 patients (37 %) appeared to be eligible for inclusion in the EMBRACA study; with the computer algorithm assessment, a total of 129 appeared to be eligible. The sensitivity of the computer algorithm was 0.87 and its specificity was 0.88. Using computer-based identification of patients for clinical trials appears feasible. With the instrument's high specificity, its application in a large cohort of patients appears to be feasible, and the workload for reassessing the patients is limited.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Computerized patient identification for the EMBRACA clinical trial using real-time data from the PRAEGNANT network for metastatic breast cancer patients

Hein

Gaß

Walter

et al. 2016

Breast Cancer Res Treat

View full text Add to dashboard Cite

show abstract

“…This secondary use often involves the identification of patient cohorts from EHR data (or EHR-driven phenotyping), which is an expensive and timeconsuming process. According to recent reviews, 1 there are many publications reporting on automated systems to facilitate this task. Most of these works rely on proprietary formats for data integration, and rarely use EHR interoperability standards like HL7, openEHR, or ISO13606.…”

Section: Background and Significancementioning

confidence: 99%

Leveraging electronic healthcare record standards and semantic web technologies for the identification of patient cohorts

Fernández-Breis

Maldonado

Marcos

et al. 2013

J Am Med Inform Assoc

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“…D'autres processus sont envisageables [14], comme l'aide au recrutement par détection automatique de critères d'éligibilité à partir de données produites dans le SIH au cours de la prise en charge des patients. Dans cette approche, des évène-ments déclencheurs sont détectés en temps réel (par exemple, la production d'un résultat biologique anormal).…”

Section: Processus Décisionnelunclassified

Système sémantiquement interopérable de sélection semi-automatique des patients éligibles aux essais thérapeutiques en cancérologie

Cuggia

Dufour

Zékri

et al. 2012

IRBM

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Comparing semi-automatic systems for recruitment of patients to clinical trials

Cited by 72 publications

References 49 publications

Computerized patient identification for the EMBRACA clinical trial using real-time data from the PRAEGNANT network for metastatic breast cancer patients

Computerized patient identification for the EMBRACA clinical trial using real-time data from the PRAEGNANT network for metastatic breast cancer patients

Leveraging electronic healthcare record standards and semantic web technologies for the identification of patient cohorts

Système sémantiquement interopérable de sélection semi-automatique des patients éligibles aux essais thérapeutiques en cancérologie

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