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The goal of this conference is to develop a research agenda to support future clinical practice and evidence-based investigation at the intersection of telehealth and emergency medicine.
This research will assess the impact of AHRQ’s 2016 clinical decision support (CDS) initiative, understand the current state of patient-centered CDS, and identify gaps for future research.
This project will evaluate the feasibility of implementing a quality improvement-driven, health information technology-enabled method for capturing patient-reported outcomes (PROs) after ambulatory surgical procedures.
This project will develop and evaluate the impact of the Prevent Diabetes Mellitus Clinical Decision Support on clinical outcomes, healthcare process measures, and associated costs.
This project will expand, implement, and evaluate the use of a cancer screening platform, the Oncology Symptom Screening Initiative (OSSI), to improve psychosocial screening of cancer patients.
This project will integrate the Computerized Adaptive Test for Mental Health into an electronic health record and evaluate the effectiveness of collecting depression symptoms with a patient portal.
This research assessed the etiology of medication ordering errors, finding that errors stemmed from multi-level risk factors and showing the utility of a void alert tool to prospectively capture the broad range of errors that may occur in practice that may be missed by using traditional retrospective error reporting methods.
This research will explore whether providing clinicians with contextual information at the point of care through the use of clinical decision support can reduce contextual errors, improve patient healthcare outcomes, and reduce misuse and overuse of medical services.
The research team developed a smartphone application that notifies primary care providers when patients receive care in the hospital or emergency department, allowing for rapid followup care.
The project will develop and test a large set of alerts at two large health systems to demonstrate that alerts can help prevent wrong-drug and wrong-patient errors and improve the completeness of the problem list.