Integrating Data-Driven Workflows to Prevent Workplace Violence

Integrating Data-Driven Workflows to Prevent Workplace Violence

Tuesday, March 10, 2026 10:15 AM to 11:15 AM · 1 hr. (US/Pacific)
Level 5 | Palazzo C
General Education
Artificial Intelligence in Healthcare

Information

This session will highlight Parkland Health's innovative approach to mitigating workplace violence (WPV) in inpatient settings. WPV is a significant concern in healthcare, with health and social service workers five times more likely to be injured than other workers. Between 8 percent and 38 percent of healthcare workers globally experience physical violence and many more face verbal aggression. Despite this, the true magnitude of WPV often goes unnoticed, leading to inadequate prevention measures. The session will detail the development and implementation of a predictive model designed to identify potentially violent patients in inpatient settings. The workflow driven by this predictive model integrates directly into the nursing process. Upon patient admission, the Parkland Center For Clinical Innovation (PCCI) Model triggers a “brain task” for patients identified as needing a Bröset Violence Checklist (BVC) assessment. Nurses then document witnessed behaviors from the six-item BVC (attacking objects, physical threats, verbal threats, boisterous, irritable, confused). Based on the BVC score, “Our Practice Advisory” guides nurses on appropriate interventions and reassessment frequencies. This proactive system aims to empower healthcare workers to take additional safety measures and reduce the likelihood of WPV incidents.

Format
Best Practice
Level
Intermediate
Topic
Clinical AI Solutions for Care Delivery and Patient Outcomes
Target Audience
Chief Quality Officer and Chief Clinical Transformation OfficerCMIO/CMOCNIO/CNO
Contact Hours
1.00
CEU Type
ACHEACPECAHIMSCMECNECPDHTSCPHIMSPMI/PDU
Learning Objective #1
Describe the significant impact of workplace violence on healthcare professionals in inpatient hospital settings
Learning Objective #2
Analyze how patient history and characteristics are utilized to develop a predictive model for identifying potentially violent patients
Learning Objective #3
Explain the integration of an artificial intelligence-powered predictive model within the Epic electronic healthcare record to proactively identify patients requiring a Bröset Violence Checklist assessment
Session #
11

Log in

See all the content and easy-to-use features by logging in or registering!