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The purpose of this research is to develop a standards-based, interoperable, and publicly available clinical decision support resource to aid primary care practices in instituting routine fall risk assessment and prevention care plans.
This project analyzed secondary data to identify factors associated with timely opening of electronic health record-based asynchronous alerts, timely response to the alerts, and patient outcomes.
Lessons from the On-Time Pressure Ulcer program informed the development of an On-Time Fall Prevention module, which uses documentation data elements, actionable reports, and tracking tools to address residents’ fall risk factors.
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.
Assessed the effects of clinical decision support systems in nursing homes on medication ordering and monitoring for residents in long term care setting; also tracked costs and assessed productivity, impact, and nursing home culture and organization.