PCCI Experts Set to Deliver Major Presentations to the nation’s healthcare leaders at HIMSS25
Starting March 5, PCCI experts are joining leaders from Parkland Health to present cutting-edge AI healthcare programs in prime spots at 2025 HIMSS Global Health Conference and Exhibition in Las Vegas, the epicenter of healthcare innovation.
The presentations are:
Creating a Large Language Model to Catalog Important Radiologist Recommendations
Wednesday, March 5, 3:15 PM to 4:15 PM PACIFIC
Speakers
- Alex Treacher, PhD, Senior Data and Applied Scientist – PCCI
- Albert Karam, Vice President, Data Strategy and Analytics – PCCI
- Brett Moran, Chief Health Officer – Parkland Health
Abstract
Medical errors, the third leading cause of death in the U.S., include wrong or delayed diagnoses, causing more serious harm than any other type of medical error. Delayed or missed opportunities for diagnoses (MOD) are particularly common in diagnostic imaging, where incidental findings often require further evaluation. At Parkland Health, a major safety-net public health system, 1.7 percent of all CT and MRI studies involve such findings. To address this, a large language model (LLM) is developed that identifies and flags delayed surveillance recommendations from radiologists’ interpretations. These delayed recommendations result in MODs 17 percent of the time. This LLM has been integrated into the electronic health record (EHR) of Parkland Health, enabling centralized management and navigation of these cases. Our results demonstrate 95 percent accuracy in identifying imaging that requires follow-up based on physician notes and 85 percent accuracy in determining the appropriate timing for follow-up. This work outlines the process, development, tools, current performance, and future plans for building an automated system to enhance image surveillance and mitigate MODs in diagnostic imaging.
https://app.himssconference.com/widget/event/himss-2025/planning/UGxhbm5pbmdfMjExNzI1Mw==
Know Thy Patient: AI/ML-Driven Clustering of Diabetes/Hypertension Populations
Thursday, March 6, 2:00 PM to 3:00 PM (US/Pacific)
Speakers:
- Yolande Pengetnze, MD, Senior Vice President, Clinical Leadership – PCCI
- Yusuf Tamer, PhD, Principal Data and Applied Scientist- PCCI
- Michael Lane, Senior Vice President, Chief Quality and Safety Officer – Parkland Health
- Teresita Oaks, Director, Community Health Programs – Parkland Health
Abstract
In Dallas County’s safety-net population, an AI/machine learning-driven unsupervised clustering algorithm identifies clusters of diabetic and hypertensive patients with a combination of social and clinical risk factors associated with suboptimal quality of care (e.g., inadequate of Hemoglobin A1C monitoring) and poor disease control. Clusters analyses uncover underlying, actionable risk drivers such as criminal justice involvement and immigration concerns that require innovative, culturally-responsive approaches for a sustainable engagement of these vulnerable populations into effective preventive care. Additional in-depth analyses identify missed and potential opportunities for care engagement that inform innovative workflow modifications leveraging traditional (e.g., EHR-based standing orders) and nontraditional (e.g., telehealth modalities and mobile units) approaches to effectively engage and support these vulnerable populations and improve health quality, outcomes and equity countywide. The data sets and analytical approaches are scalable and replicable to other vulnerable populations nationwide.
https://app.himssconference.com/widget/event/himss-2025/planning/UGxhbm5pbmdfMjExNzI0NQ==
