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AHRQ-Funded Projects
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Preventing Perioperative Medication Errors and Adverse Drug Events Through the Use of Clinical Decision Support
This project will develop a clinical decision support tool for the perioperative setting.
Interactive Patient-Centered Discharge Toolkit To Promote Self-Management During Transitions
This project will implement and evaluate a previously developed, interactive, patient-centered discharge toolkit to improve the transition of care from the inpatient to outpatient settings.
Electronic Medication Adherence Reporting and Feedback During Care Transitions
This project will implement and evaluate a “smart” pillbox given to patients in order to understand its ability to minimize discrepancies in prescribed regimens and to improve patients’ medication adherence after hospital discharge.
NLP to Improve Accuracy and Quality of Dictated Medical Documents
This project will study the impact of errors in medical documents on quality of care and develop innovative natural language processing methods to automatically detect errors so that physicians can correct the documents before finalizing them in the electronic health record.
A Sleep Promotion Toolkit for Hospitalized Patients
This project revises and tests a sleep promotion toolkit called SLEEPkit, which identifies individualized interventions linked to factors that disturb sleep and generates a care plan for sleep and personalized educational content.
Using mHealth and Patient-Reported Outcomes to Deliver Evidence-Based Asthma Care
This project will develop and pilot test a mobile health-based intervention that facilitates the implementation of asthma-related, patient-centered outcomes research and shared decisionmaking between patients and their clinicians.
An Integrated Closed-Loop Feedback System for Pediatric Cardiometabolic Disease
The project team will develop a set of mHealth tools capable of collecting health behavior information and evaluate whether providing clinical feedback on these behaviors reduces obesity and improves health behaviors among at-risk families.
TJR Guru--a Mobile App for Shared Informed Decisionmaking in Total Joint Replacement Surgery
This project will develop TJR Guru, a mobile app designed to inform patients about individualized predicted outcomes of total joint replacements that will enhance their decisionmaking capability regarding surgery options.
Enhancing Medication CPOE Safety and Quality by Indications-Based Prescribing
This project will develop design requirements to add medication indication to electronic medication ordering and build a prototype to test the hypothesis that indications-enabled prescribing demonstrates superior quality, safety, and efficiency for prescribers, pharmacists, and patients.
Open & Act: Tracking Health Care Team Response to EHR Asynchronous Alerts
This project will analyze secondary data to identify factors associated with timely opening of electronic health record-based asynchronous alerts, timely response to the alerts, and patient outcomes.
