Protocol to Practice: Reinventing Fall Prevention at the Frontline

This project aims to reduce inpatient fall-related injuries by standardizing and improving staff adherence to fall-prevention protocols and enhancing patient-centered education. Despite previous efforts, falls remained a significant issue in acute care. By identifying key barriers and engaging clinical leaders, the project seeks to implement targeted, sustainable strategies. Early use of data visualization and AI tools to support ongoing monitoring and improvement. This initiative highlights the importance of combining protocol adherence with tailored patient engagement to reduce falls and improve safety outcomes in hospital settings.

After attending this Abstract, the attendees will be able to implement tailored fall-prevention care plans based on individual patient risk factors and clinical context.

After attending this Abstract, the attendees will be able to use data visualization tools, such as adherence heat maps and dashboards, to improve staff accountability and protocol compliance.

After attending this Abstract, the attendees will be able to leverage AI-supported analysis of historical safety reports to identify recurring themes and proactively predict fall risk in inpatient populations.

Authors

Devpradnya is a Health Systems Engineer at UF Health with a Master’s in Engineering Management from NC State University. Her work focuses on integrating data and human-centered processes to drive healthcare improvement. She has experience in creating data-driven stories, applying AI in patient care, designing Kaizen events, and managing multi-departmental projects. Her interests include using visual analytics to support decision-making and implementing scalable quality improvement solutions. Outside of work, she enjoys exploring sports and engaging in creative hobbies.

Demetrius Solomon is a healthcare transformation leader and systems engineer at UF Health, where he advances operational effectiveness, process optimization, and innovation across complex health systems. He has led enterprise-level initiatives that integrate AI, analytics, and interdisciplinary collaboration to achieve measurable gains in access, quality, and cost. In addition to his leadership role, he serves as adjunct faculty at the University of Florida, bridging theory and practice through translational research and graduate-level instruction.