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Contributor
Swain, Ajaya (Faculty Mentor)
Digital Publisher
Digital Commons at St. Mary's University
Publication Date
Spring 2026
Keywords
Artificial Intelligence (AI), Healthcare clinics, Wait times, Patients
Description
- Healthcare systems face increasing challenges in patient access and wait times
- Average wait times for specialist care continue to rise, creating:
- Delays in treatment
- Reduced patient satisfaction
- Increased system inefficiencies (Sanford, 2025)
- A major contributor is operational bottlenecks, defined as:
- Points of congestion that slow or disrupt service flow
- Hospitals typically operate under process layouts, which:
- Handle diverse patient needs
- Reduce specialization efficiency
- Contributing factors to bottlenecks:
- Physician shortages and burnout
- Administrative burden
- Inefficient scheduling systems (Moura & Pinho, 2025)
- AI offers potential solutions through:
- Predictive scheduling
- Automation of administrative processes
- Data-driven optimization of patient flow
Format
Size
1 poster
City
San Antonio, Texas
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Included in
Artificial Intelligence and Robotics Commons, Data Science Commons, Health Services Administration Commons, Health Services Research Commons, Operations and Supply Chain Management Commons