Search found 10 items
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 took an existing sepsis-related clinical decision support (CDS) and developed, tested, implemented, and validated a knowledge-based artificial intelligence-enhanced sepsis CDS.
This research developed and evaluated mobile application messages that assisted individuals with hypertension to adhere to a low-sodium diet.
This project tested the impact of a training module that teaches clinicians how to best communicate with patients in the presence of an electronic health record and found improvements in provider communication skills, but no impact on patient outcomes.
This study found increased rates for some screening and preventative services following adoption of federally-certified electronic health records.
This project tested a reinforcement learning (RL) text messaging system, which tailors and adapts messages to the needs of patients with uncontrolled hypertension to promote medication adherence, and found it to be feasible and adaptive.
This project developed and tested visual displays of laboratory test results and found that designs informed by patient input can make data more intuitive and meaningful to patients.
This project designed, implemented, and assessed the effectiveness of tailored text messages for changing medication adherence in adults with uncontrolled diabetes and found that improvements were made in perceived benefits and competence.
This research project is developing an Internet-based health communication program for African American adults to improve asthma care.
This project developed and tested a text message system to improve medication adherence for African Americans with uncontrolled hypertension.