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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 research will implement in pharmacies a patient-reported outcomes collection tool, PatientToc™, to collect data around medication adherence that can be used by pharmacists to improve adherence.
This research assessed the utilization of a “smart” pillbox, a prefilled electronic medication tray that sends electronic alerts and reports to patients, caregivers, and primary care providers for patients discharged from the hospital, finding an increased medication adherence among patients on five or more chronic medications.
This project integrated a validated anxiety-specific screening tool in an existing clinical decision support system and tested it with a randomized feasibility pilot that found the tool did not increase detection of anxiety in pediatric primary care.
This research studied the healthcare information needs of elders and their family caregivers and developed an online platform to allow this group to share health information.
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.
This project developed and evaluated a medication reconciliation intervention for medication monitoring and followup of elderly patients discharged from a skilled nursing facility.
This study evaluated the impact of providing information through an electronic medical record-based transitional care intervention on the care of older adults discharged from the hospital.
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.