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  • Meeting abstract
  • Open Access

Recruitment and feasibility tool

  • 1Email author,
  • 1,
  • 1,
  • 2,
  • 2,
  • 3 and
  • 3
Journal of Clinical Bioinformatics20155 (Suppl 1) :S10

  • Published:


  • Specific Language
  • Enrollment Rate
  • Integration Service
  • Reasoning Ability
  • Sufficient Statistical Power


Tool, patient recruitment, clinical trial feasibility.

Tool description

The recruitment and feasibility tool (earlier named Yakobo) was developed in the EURECA project to assess protocol feasibility and to find eligible patients for clinical trials. Protocol feasibility functions analyze the feasibility of a trial protocol by assessing the expected patient enrollment rate of a selection of sites given the protocol’s eligibility criteria, based on “historical” data (existing patient data). It allows for answering questions such as whether inclusion and exclusion criteria are useful for defining the proper study population, whether it is likely that the necessary volume of patients can be recruited in time to collect data with sufficient statistical power and/or the expected duration of a trial.

Criteria are expressed in a domain specific language [1] A Trial metadata repository contains protocol definitions (Figure 1) and the SNAQL engine executes the DSL of the criteria to find patients belonging to the cohort. The SNAQL engine accesses the semantic integration services which provide a query interface [2] with reasoning abilities. Once a clinical protocol has been finalized, the tool is used to find patients eligible for enrollment.
Figure 1
Figure 1

Schema of the workflow for using the Recruitment and feasibility tool.

Status of development

Concept validation and validation by selected user groups.


Authors’ Affiliations

Philips Research Europe, 5656 AE Eindhoven, the Netherlands
Custodix NV, 9830 Sint-Martens-Latem, Belgium
Universidad Politécnica de Madrid, 28040 Madrid, Spain


  1. Claerhout B, Schepper KD, Pérez-Rey D, Alonso-Calvo R, Leeuwen JV, Bucur A: Implementing patient recruitment on EURECA semantic integration platform through a Groovy query engine. Proc. BIBE. 2013, 1-5.Google Scholar
  2. Paraiso-Medina S, Perez-Rey D, Alonso-Calvo R, Claerhout B, de Schepper K, Hennebert P, et al: Semantic Interoperability Solution for Multicentric Breast Cancer Trials at the Integrate EU Project. HEALTHINF. 2013, 34-41.Google Scholar


© van Leeuwen et al; licensee BioMed Central Ltd. 2015

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