Standards-based, computable knowledge representations for eligibility criteria are
increasingly needed to provide computer-based decision support for automated research …

Background Medical progress depends on the evaluation of new diagnostic and therapeutic
interventions within clinical trials. Clinical trial recruitment support systems (CTRSS) aim to …

Bayesian networks (BNs) are an increasingly popular method of modelling uncertain and
complex domains such as ecosystems and environmental management. At best, they …

Objectives: Even though today most university hospitals have already implemented
commercial hospital information systems and started to build up comprehensive electronic …

Background Failure to recruit a sufficient number of eligible subjects in a timely manner
represents a major impediment to the success of clinical trials. Physician participation is vital …

Background: Social networking sites, particularly Facebook, are increasingly included in
contemporary smoking cessation interventions directed toward young adults. Little is known …

OBJECTIVES::(i) To review contributions and limitations of decision support systems for
automatic recruitment of patients to clinical trials (Clinical Trial Recruitment Support …

Objective To develop a cost-effective, case-based reasoning framework for clinical research
eligibility screening by only reusing the electronic health records (EHRs) of minimal enrolled …

Clinical trials are essential to the progress of medical science. Physician participation in trial
recruitment is vital, but most do not participate. Few approaches to improve physician …

PURPOSE: Clinical trials are time-consuming and require constant focus on data quality.
Finding sufficient time for a trial is a challenging task for involved physicians, especially …