2023 Research Stories
An App to Help Rural Paramedics Improve Timeliness to Deliver Life-Saving Care for Patients Experiencing Heart Attacks
Developing and implementing a point-of-care clinical decision support mobile application for paramedics in rural areas has the potential to improve timeliness to deliver life-saving care and outcomes for patients experiencing a heart attack.
App Assists Patients Decide if In-Home Hospital-Level Care is Right for Them
A web-based application that incorporates patient and caregiver preferences helps patients evaluate whether they can safely receive hospital-level care at home.
Creating Meaningful Decision Support to Reduce Drug-Drug Interactions
By individualizing drug–drug interaction alerts to individual patient circumstances, providers can deliver more tailored care for patients at risk for harm.
Improving Safety in Postoperative Handoff Communication with Telemedicine and Machine Learning
Implementing a postoperative handoff intervention augmented with telemedicine and machine learning technologies will promote effective and efficient communication, foster interdisciplinary collaborative team workflows, and ultimately, improve patient care and safety during care transitions.
Integrating the Patient Voice in Patient-Reported Health Outcomes
Changing the focus of patient-reported outcomes to be centered on a patient’s individual goals and preferences has the potential to improve care.
Use of EHR-Embedded Tools to Improve Screening for Intimate Partner Violence
An intervention with new tools and formalized procedures to screen for intimate partner violence greatly increased the number of patients identified as experiencing or at risk for experiencing domestic violence.
Using Machine Learning for Military Service Members and Veterans at Risk for Suicide
The use of a risk-prediction tool for both suicide ideation and suicide attempt has the potential to allow for more timely interventions among military service members and veterans.
Previous Research Stories
A Clinical Decision Support Tool for Preventing Falls
Tools like ASPIRE that integrate fall prevention clinical decision support and patient resources may better support patient self-care and adoption of evidence-based recommendations.
Choosing What Clinicians See in an Electronic Health Record Can Reduce Cognitive Burden and Improve Decision Making
Giving clinicians the ability to customize the patient electronic health record display reduces cognitive burden, saves time, and supports decision making in busy clinical environments.
Closing the Communication Gap Between Prescribers and Pharmacists to Decrease Medication Safety Risks
Implementing CancelRx, an e-prescribing tool to electronically communicate medication discontinuation orders between electronic health records and pharmacies, showed an immediate and persistent reduction in prescriptions that were dispensed after discontinuation.
Decision Support in the Emergency Department to Improve Medication Safety for Older Adults
Using the clinical decision support system Enhancing Quality of Prescribing Practices for Older Adults Discharged from the Emergency Department significantly reduces the prescribing of potentially inappropriate medications in the emergency department setting.
Designing Digital Healthcare Technology to Support Cognitive Team Work in Pediatric Trauma Settings
Simple and informative graphic displays in emergency department trauma bays can streamline and expedite information sharing across caregiver roles to improve patient care and safety.
Improving Electronic Health Record Usability for Patient Safety
Analysis of patient safety event reports showed an association between electronic health record (EHR) usability and patient safety in both adults and children and led to development of an EHR assessment tool that healthcare facilities can use to identify usability and safety issues.
Patient-Facing Clinical Decision Support to Improve Blood Pressure
Translating hypertension guidelines into a patient-facing clinical decision support tool can engage patients in blood pressure management.
Visual Learning: Displaying the Data for Hypertension Management
A clinical decision support tool helps patients and physicians use at-home measured blood pressure data to better understand hypertension control and inform shared treatment decisions.