Abstract
The function of ER lies on their response time and standardization of Turn-Around Time for the patients with the purpose to stabilize patients who have life-threatening injury or illness by focusing on urge medical intervention before they can get another medical care attempt. There are many factors that affected response time and turn-around time (TAT) in Emergency Room. Variation in interval between patient arrival and medic arrival can altered the response time of the healthcare system. Quantitative descriptive study is used where the sample data is observed from a population which being analyzed with statistical approach within November through December 2017 at the Emergency Room of this hospital. Cross-sectional approach with accidental sampling technique is used to gather the data. Discrete Event Simulation (DES) will also be used to visualize the process and patient flow. Response time I, response time II, examination time, wait time, and overall turn-around time will be measured. This paper aims to evaluate the process flow and patient flow in the Emergency Room in this hospital to improve their TAT to reach the target by 8 hour. The data used for the model is taken from a one month period from the Emergency Room. Comparison between the results from the DES model differ only slightly with the actual situation. With the application of Enterprise Imaging, the waiting time that was experienced by the patients are reduced and are now allocated to becoming process time, reducing the overall Turn-Around Time.
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
Public Health Policies and Practices
KEYWORDS
Emergency Healthcare DES
Digital Media
This presenter hasn’t added media.
Request media and follow this presentation.