PCCI experts to present innovations at HIIMSS including using AI to support workplace safety and its diabetes surveillance system
02/25/2026
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
https://app.himssconference.com/event/himss-2026/planning/UGxhbm5pbmdfMzMwMzQ0OA==
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.
Speakers
Jacqueline Naeem
Vice President, Clinical and Social Health, Parkland Center for Clinical Innovation
Brett Moran
Senior Vice President, Chief Health Officer, Parkland Health
Alex Treacher
Principal Data Scientist, Parkland Center For Clinical Innovation
Diabetes Surveillance: Community-Level Artificial Intelligence/Machine Learning for Risk and Equity Action
Wednesday, March 11, 2026 3:15 PM to 4:15 PM · 1 hr. (US/Pacific)
Level 5 | Palazzo N
https://app.himssconference.com/event/himss-2026/planning/UGxhbm5pbmdfMzMwMzYyMg==
Building on the success of the Pediatric Asthma Surveillance System (PASS), this session introduces a scalable, AI/ML-driven diabetes surveillance system designed to identify and address community-level disparities in diabetes care. The system integrates acute care utilization, past emergency department and outpatient visits, medication prescription and refill patterns, comorbidities, and Non-Medical Drivers of Health (NMDoH) to predict diabetes-related risk at the census tract level. Early findings reveal distinct geographic and demographic patterns of risk, uncovering actionable insights to guide targeted, equity-focused interventions. Attendees will gain a blueprint for deploying predictive surveillance tools to transform chronic disease management and advance health equity in vulnerable populations.
Speakers
Yusuf Tamer
Principal Data and Applied Scientist, Parkland Center For Clinical Innovation
Yolande Pengetnze
Senior Vice President, Clinical Leadership, Parkland Center For Clinical Innovation
Teresita Oaks
Director, Community Health Programs, Parkland Health
