Health IT Survey Compendium
The Health IT Survey Compendium provides a centralized resource of publically available health IT surveys, many of which were developed by AHRQ-funded projects. Surveys may be used as is, serve as templates to create new surveys, or questions pulled out and used on their own.
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Description: The goal of this project was to promote increased adherence to evidence-based pharmacotherapy guidelines through both traditional clinic-based and newer models of care.
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Description: The project team successfully developed a knowledgebase specific to medication management for children. The tools created included an algorithm for rounding of medication doses and a compounded medication knowledgebase.
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Description: Implemented a comprehensive, integrated, EHR system with CPOE and clinical decision-support tools in hospital inpatient units, ambulatory care, primary care and specialty clinics, home health, and hospice care; also evaluated medical errors and near misses, use of evidence-based practices, responsiveness to adverse drug alerts, and patient/provider satisfaction.
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Description: Created a community-wide EMR with integrated clinical decision support that is available across the continuum of care including a rural hospital, a home health agency, 14 physician clinics, and 5 long-term care facilities.
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Description: Established an automated surveillance system for detecting, reporting, and intervening as well as measuring the incidence and nature of adverse drug events suffered by patients.
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Description: In this project, a clinical decision support tool was developed for Otitis Media, and then studied in a cluster randomized controlled trial to evaluate its impact on the quality of care of Otitis Media.
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Description: Expands upon an electronic medical records-sharing initiative for high-risk infants and their families in Mississippi, linking new health centers and clinics and serving a rural area that spans 17 counties; uses telemedicine technologies to enhance evidence-based developmental care for newborns in acute care hospitals; and creates Web-based decision support resources for physicians who care for infants.
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Description: Evaluated the effects of staggered installation of an Epic health IT system that includes an EMR with provider order entry and clinical decision support in primary care settings on quality, safety, and resource use within a large integrated delivery system on cohort of 780,000 members with chronic illnesses.
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Description: In this project, the team identified the most appropriate and feasible methods of collecting data on national performance on the adoption, use, and outcomes of health IT.
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Description: This project refined a set of asthma care quality measures and developed and validated the use of an automated method using natural language processing to utilize the measures.