What are the responsibilities and job description for the Postdoctoral Research Associate in Data-Driven AI and ML-AI.Health4All- College of Medicine position at University of Illinois Hospital?
Position Summary
The AI.Health4All Center for Health Equity using Machine Learning and Artificial Intelligence at the University of Illinois-Chicago (UIC) College of Medicine is seeking applications for a highly motivated and skilled Postdoctoral Researcher to work on data-driven patient flow optimization aimed at reducing hospital crowding and improving health for all using integrated methodologies.
In healthcare systems, patient flow refers to the movement of patients through various stages of care processes, from admission to discharge. Efficient patient flow management is a critical determinant of healthcare quality and operational efficiency. Poorly managed patient flow can lead to delays, overcrowding, resource utilization inefficiencies, and compromised patient outcomes. Despite significant advancements in healthcare technology, many systems continue to face challenges related to bottlenecks, unpredictable delays, and suboptimal resource allocation, leading to hospital crowding, a worldwide public health problem.
Traditional methods for improving patient flow often rely on static processes and subjective decision-making, which are insufficient for addressing the complex, dynamic nature of modern healthcare environments. Recent developments in data-driven approaches, such as artificial intelligence (AI), process mining, complex network analysis, and simulation, offer powerful tools for optimizing patient flow. This research project aims to implement integrated and data-driven methodologies (artificial intelligence (AI), process mining, complex network analysis, and simulation) to create a comprehensive framework for optimizing non-trauma emergency patient flow and reducing hospital crowding and improving health for all. The successful candidate will analyze large-scale patient flow data, develop and implement computational models, and design responsible AI-driven solutions for emergency care systems.
Duties & Responsibilities
