Dynamic Layout Design Optimization to Improve Patient Flow in Outpatient Clinics Using Genetic Algorithms

Multi-objective layout optimization of hospital outpatient clinics based on NSGA II

This study utilizes an improved NSGA-II algorithm to conduct a multi-objective optimization of the hospital outpatient department layout. By simultaneously incorporating patient walking distance, hospital operating costs, patient waiting time, and medical staff work efficiency as optimization objectives, and adopting an adaptive population size adjustment strategy, this paper optimizes the existing outpatient layout in a case study of a three-story outpatient building at Panzhihua Central Hospital. The results show that the new plan reduces patient walking distance by 57.2%, shortens waiting time by 59%, and enhances medical staff collaboration efficiency, while only increasing costs by 5.6%. This demonstrates the effectiveness and feasibility of the improved NSGA-II method in handling complex multi-objective optimization problems for outpatient layouts. The research findings provide a reference for the rational allocation of hospital outpatient resources and the improvement of service quality. Additionally, this paper discusses the applicability and limitations of the study and proposes future research directions, including validating the method's effectiveness in hospitals of various types and sizes, incorporating dynamic optimization and real-time data, and deeply integrating with hospital information systems.

Blueprints for Better Care: Unveiling the Role of Clinic Design in Enhancing Patient Experience and Efficiency

Background: The rising demand for outpatient care, fueled by improved efficiency, technology, and patient-centered models, necessitates reevaluating clinic design and healthcare delivery. This reassessment should align with evolving patient expectations to enhance care continuity and outcomes. Objective: This research explores how targeted design features affect patient behaviors, movement dynamics, and staff perceptions in outpatient clinics. The goal is to enhance patient experience, improve operational efficiency, and elevate care quality by identifying strategies to boost clinic performance and patient outcomes. Methods: This study utilizes behavior mapping, shadowing observations, surveys, and Gemba walk-throughs across four outpatient clinics to examine how design affects patient experiences and operational workflows. Behavior mapping collected 1179 data points, revealing that waiting for appointments and making phone calls were the most common activities. Shadowing 13 patients identified navigation inefficiencies, particularly the lengthy route from exam rooms to exits and the frequent movement between the scale and waiting area. Surveys and Gemba walk-throughs with 95 staff members highlighted critical design elements that enhance experiences, including aesthetics, acoustics, and room sizes. Feedback indicated a demand for improvements in accessibility, privacy, wayfinding, reduced staff travel distances, and child-friendly features to boost clinic efficiency and patient satisfaction. Conclusion: This study highlights the importance of patient-centered design in outpatient clinics. It shows that improving waiting areas, clinic navigation, privacy measures, and technology integration can enhance patient experience and operational efficiency.