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This project will implement and evaluate a “smart” pillbox given to patients in order to understand its ability to minimize discrepancies in prescribed regimens and to improve patients’ medication adherence after hospital discharge.
This project will use natural language processing and dynamic logic to create a high-fidelity model of risk of death to identify patients with low life expectancy.
This project conducted a randomized trial of a medication management system that supports medication adjustments and scheduling of laboratory tests independent of office visits.
This study investigated the feasibility of extracting medication information from non-structured electronic clinical sources within an electronic health record.
This project worked on assessing, defining, demonstrating, and evaluating best practices for knowledge management and clinical decision support across multiple ambulatory care settings and electronic health record technology platforms.
This project designed and validated a new diabetes quality of care process measure.
Assesses the value of health IT to clinicians through creation of CDSS tools integrated with clinical documentation workflow and physician performance feedback, its impact on clinical decision support and quality assessment, and its cost-effectiveness.