Search found 62 items
This research assessed the use of a health information exchange system in emergency department settings, finding that although overall usage is relatively low, additional functionalities such as single sign on add value to clinical decision making and enable faster retrieval of patient records from external sources compared to traditional methods when embedded into existing workflows.
This research prospectively evaluated a machine learning algorithm that identifies candidates for neurologic surgery to control epilepsy.
This research demonstrated primary care providers’ complementary use of “push” and “pull” health information exchange technologies to meet their information needs and provides evidence that “pull” exchange reduces potentially avoidable healthcare utilization.
This project developed and enhanced CDS Connect, an online platform that aimed to demonstrate a systematic and replicable process for transforming evidence-based research findings, including findings from patient-centered outcomes research, into publicly available, shareable clinical decision support.
The Patient-Centered Outcomes Research Clinical Decision Support Learning Network (PCOR CDS-LN) will explore the facilitators and barriers to the use of PCOR findings in CDS software and will formulate recommendations for ways to increase the uptake and use of CDS incorporating PCOR findings.
This project developed, implemented, and evaluated a program that includes clinical decision support to improve diagnosis of hypertension in children.
In this study, researchers created new electronic health record-based decision support tools that guide clinicians’ perceptions and judgments of noncancer pain in ways that lead to increased use of guideline-based patient assessment and treatment of pain.
This project integrated a validated anxiety-specific screening tool in an existing clinical decision support system and tested it with a randomized feasibility pilot that found the tool did not increase detection of anxiety in pediatric primary care.
This project developed a patient-centric tool called the Surgical Risk Preoperative Assessment System to estimate the risk of adverse operative outcomes.
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.