Clinical Research Directory

AI Tool to Reduce Clinician Documentation Burden

This study looks at whether a clinician-facing artificial intelligence (AI) tool can help outpatient doctors spend less time reviewing medical records and documenting care. The tool creates brief summaries of existing medical record information to support routine clinical work. This study examines how use of this tool affects clinicians' workload, time spent in the electronic health record, and overall experience with documentation. The goal is to better understand whether AI documentation support tools can improve efficiency and reduce burden for clinicians in outpatient specialty practice. Eligible UNC outpatient specialists may be invited to complete surveys and, if they qualify, are randomly assigned either to receive access to the tool (Evidently) at the beginning of the study period or to continue their usual workflow for eight weeks before receiving access. The study does not recruit patients and does not change medical care for patients.

Deployment and Evaluation of Humanoid Robotics in Coalition-Aligned Clinical Care Settings

This clinical trial evaluates the deployment of humanoid robotics in coalition-aligned healthcare settings. The study measures biometric performance, ESG compliance, and operational impact across patient care, sanitation, and intake workflows. Humanoid units are enhanced via biotech integration and compensated through blockchain-based wage tokens. Outcomes will inform coalition governance, wage calibration, and metro-scale deployment strategies.