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This project will develop a clinical decision support tool for the perioperative setting.
This research developed a set of mHealth tools capable of collecting health behavior information with the hope that providing clinical feedback on these behaviors will reduce obesity and improve health behaviors among at-risk families.
This project developed and tested the impact of a virtual patient on the clinical approach of primary care providers at a community health center serving refugee patients.
This project evaluated the cost of cancer screening reminders either through an automated, escalating outreach program alone or an extension of that program.
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 project designed, developed, implemented, and evaluated a system for automated reminders for breast, cervical, and colorectal cancer screening within the Massachusetts General Primary Care Practice Based Research Network.
This research focused on the design, implementation, and evaluation of a comprehensive, practical, and innovative model of care delivery that incorporates shared decisionmaking.
Assessed the impact of a State-wide rollout of e-prescribing using PocketScript® software and its effect on safety, quality, cost, formulary compliance and outcomes.
Systematically assessed improvements in patient safety and experience of care associated with implementation of four decision support function embedded in an electronic health record: 1) the influence of weight based dosing on pediatric adverse drug events; 2) the influence of a test result tracking system on appropriate followup of ordered tests; 3) the influence of automated reminders on symptom monitoring and medications for children with asthma and attention deficit disorder.
Assessed the impact of Medical Imaging Informatics on health care costs and quality and developed a business case related to the acquisition and implementation of automated radiology systems; developed a financial model to demonstrate the impact of these systems on provider systems and health care quality.