This study assessed the usability and impact of inpatient portals on patient experience, engagement, and perceptions of care.
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.
This project will provide an evidence base to better inform user-centered design and implementation processes to improve health information technology, usability, and safety.
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.
This project will develop decision support tools that integrate with electronic health records to increase the quality and effectiveness of chronic pain care.
This project examined the prevalence of variation in electronic health record documentation in physician practice, its causes, effects, and strategies to mitigate its potential for harm.
This project developed a patient-centric tool called the Surgical Risk Preoperative Assessment System to estimate the risk of adverse operative outcomes.
This project will build and pilot an anxiety module within an existing clinical decision support system to automate concurrent administration of validated screening instruments for anxiety and attention deficit hyperactivity disorder among pediatric patients.
This project will develop design principles to enable more effective integration of patient-reported outcomes data into patient care activities through health information technology.
This project assessed provider mental workload and performance while processing electronic abnormal test results and found that a test result tracking mechanism improved physicians’ clinical performance.