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A core feature of e-prescribing is the electronic exchange of prescription data between physician practices and pharmacies, which can potentially improve the efficiency of the prescribing process and reduce medication errors. Barriers to implementing this feature exist, but they are not well understood. This study's objectives were to explore recent physician practice and pharmacy experiences with electronic transmission of new prescriptions and renewals, and identify facilitators of and barriers to [...]

The Center for the Multiscale Analysis of Genetic Networks (MAGNet, http://magnet.c2b2.columbia.edu) was established in 2005, with the mission of providing the biomedical research community with Structural and Systems Biology algorithms and software tools for the dissection of molecular interactions and for the interaction-based elucidation of cellular phenotypes. Over the last 7 years, MAGNet investigators have developed many novel analysis methodologies, which have led to important biological discoveries, including understanding the [...]

The Center for Computational Biology (CCB) is a multidisciplinary program where biomedical scientists, engineers, and clinicians work jointly to combine modern mathematical and computational techniques, to perform phenotypic and genotypic studies of biological structure, function, and physiology in health and disease. CCB has developed a computational framework built around the Manifold Atlas, an integrated biomedical computing environment that enables statistical inference on biological manifolds. These manifolds model biological structures, features [...]

To evaluate if electronic health records (EHR) have observable effects on care outcomes, we examined quality and efficiency measures for patients presenting to emergency departments (ED).

To evaluate the impact of a real-time computerized decision support tool in the emergency department that guides medication dosing for the elderly on physician ordering behavior and on adverse drug events (ADEs).

Systematic analysis of observational medical databases for active safety surveillance is hindered by the variation in data models and coding systems. Data analysts often find robust clinical data models difficult to understand and ill suited to support their analytic approaches. Further, some models do not facilitate the computations required for systematic analysis across many interventions and outcomes for large datasets. Translating the data from these idiosyncratic data models to a [...]

While much attention has been paid to the short-term impact that widespread adoption of health information technology (health IT) will have on the healthcare system, there is a corresponding need to look at the long-term effects that extant policies may have on health IT system resilience, innovation, and related ethical, social/legal issues. The American Medical Informatics Association's 2010 Health Policy Conference was convened to further the national discourse on the [...]

The goal of this study was to develop an in-depth understanding of how a health information exchange (HIE) fits into clinical workflow at multiple clinical sites.

To conduct a systematic review and synthesis of the evidence surrounding the cost-effectiveness of health information technology (HIT) in the medication process.

To evaluate the web structure of two web-based continuing education courses, identify problems and assess the effects of web site modifications.