Effective and highly usable health IT that is well integrated into clinical workflows is an essential tool in patient care. Helping clinicians make timely and informed decisions has motivated my work on improving HIT. Analyses of health data from structured, free-text and patient-generated sources is essential for the investigation of their innovate use in clinical systems. Large-scale health data analytics uniquely inform local care and process decisions and provide insight into the effects of HIT interventions on quality and outcomes. My expertise is in evaluating information technology in the complex conditions of multifaceted clinical work. The objective is to improve decision making, reduce cognitive effort and errors and allow clinicians more time for direct patient care. I closely collaborate with physicians, nurses, informaticists, computer scientists, developers, hospital management, private practitioners, HIT vendors and principal stakeholders in healthcare organizations. We have succeeded in improving decision support interventions by making clinical alerting more specific and less frequent, by reducing the effort and discrepancies in medication reconciliation and by better support of handoffs at transition points to preserve the continuity of care. Our evaluations often include longer-term effects of HIT improvements on the safety, effectiveness and quality of care. I received doctoral training at the Department of Biomedical Informatics at Columbia University where I researched cognitive informatics and the relationship of patient safety and the use of complex clinical information technology.