Hospital internally funded

Co-PI ($200,000) (PI: Patrice Degoulet)

The i2b2 CDW allows reuse of computerized data of patients for achieving cohorts. The health information on 606,000 patients with diagnoses, symptoms, medical procedures, drug therapy, etc. for 13 years were made available for research. 

IMI European Commission: Grant No 115189-1 httpL//www.ehr4cr.eu

Co-Investigator (PI: George de Moore)

Support the feasibility, exploration, design, and execution of clinical studies and long-term surveillance of patient populations from multiple European hospitals. Enable trial eligibility and recruitment criteria to be expressed in ways that permit searching for relevant patients across EHR distributed systems, and confidentially initiate participation requests via the patients' authorized clinicians. 

NIH/BD2K U54 HG007963

Co-Investigator (PI: Isaac Kohane)

We propose to create a massively scalable toolkit to enable large, multi-center Patient-centered Informatic Commons (PIC) at loval, regional, and national scale, where the focus is the alignment of all available biomedical data per individual. Such a Commons is a prerequisite for conducting the large-N, Big Data, longitudinal studies essential for understanding causation in the Precision Medicine framework while simultaneously addressing key complexities of Patient Centric Outcome Research studies required...

University Paris Descartes innovative grant in pedagogy

PI ($7,000)

Students in their final year of medical studies learn, in addition to theoretical education faculty, prescription real world "bedside" with supervision by senior physicians. The assumption is that the formalization of an entire prescription with the support of electronic prescribing, under the supervision of a senior to explain the mistakes, is a new educational tool for learning prescritpion in front of the patient bed. We performed a randomized controlled trail to measure the impact on improving...

FP7 - European Commission grant #215847 - http://www.euadr-project.org

Site co-PI and leader of one specific aim (out of 8 in the project) ($266,000) (Total project: $8 million) (PI: Johan Van der Lei)

Develop an innovative computerized system to detect adverse drug reactions supplementing spontaneous reporting systems. To achieve this objective, EU-ADR exploited clinical data from electronic healthcare records (EHRs) of over 30 million patients from several European countries.