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Angela Diaz

07/25/2019

MBA-

Believing that the practice of Emergency Medicine was, to the contrary, predictable, we at Ochsner felt that tremendous improvements in efficiency could be won if the vast amount of data generated in our experience of nearly 40,000 Emergency Department visits per year could be harvested (Guarisco, 2001).

The Emergency Department is the first and critical service of a hospital which provides ranges of medical services, which includes diagnostic, resuscitation, and stabilization components to save a life. From admission to discharge, patients must go through streams of processes; many of which can be tedious and irritating. However, these processes can be streamlined for efficiency, the saving of time, and, most importantly, patient satisfaction (Hospital, 2018). As soon as the patient walks into the emergency room the first step will be the admission process triage which is also known as that assists the assistant medical officer to justify the condition of the patient and arranging appropriate treatment for them. Over time as the population increases, there has been an ongoing crowding in the emergency rooms Healthcare workers, and patients have historically viewed the practical application of Emergency Medicine throughout the country as one of inefficiency and chaos. The situation calls for the improvement of the department to facilitate the effectiveness of this process. From admission to discharge, patients have to go through streams of processes; many of which can be tedious and irritating. However, these processes can be streamlined for efficiency, the saving of time, and, most importantly, patient satisfaction (Hospital, 2018).

Improving care coordination

To overcome this problem, we will need help from technology automated systems. Starting with improving the current triage system and developing an automated one. The automated triage system could enhance the quality of service and reduce costs due to misappropriate resources. The developed system consists of biomedical modules, graphical user interface (GUI) using Microsoft Visual Studio, and triage decision making algorithm. This system acquires vital signs, syndrome, and chief complaint from patient (Chong & Gan, 2018). The system will obtain vital signs, chief complaint, and syndrome from the patient. With this information using the decision-making algorithm. This system can provide accurate and specific triage output compared to the one done by an assistant medical officer. The average time taken to perform the triage assessment using this system is around 6 minutes (Chong & Gan, 2018).

Improving patient access

Medical documentation can be unwieldy both for patients and practitioners, let alone doing it manually. Automating this process improves patient care management due to its accessibility (anytime, anywhere), quality, improved accuracy, adaptability, less storage costs, and faster retrieval (Hospital, 2018).

Reducing Patient waiting

Health systems are beginning to use machine learning to adjust staffing to support fluctuating emergency department patient volumes and to reduce wait times in ambulatory services (Gluck, 2018). The emergency room procedures go through several overwhelming tasks, making sure there is a connection and documentation between registration and check-in sections, ER physician, and specialists. In the admitting process, the process often goes from desk to desk, which we all know this leads to longer wait time and a hassle. Automating admission processes can save time, improve the patient experience, and generally enhance effective operational procedures (Hospital, 2018).

Creating a safer environment

In emergency departments in the United States today, about 80 to 85 percent of the patients are walk-ins, and about the same percentage of the total are treated and sent home usually with prescribed medicines (Gutherz & Baron, 2001).

A medication error is a significant concern for the hospital administrators, patient safety is often contingent on correct and timely administration of treatment. Workflow technology, when used well, can reduce medication errors significantly and enhance operational efficiency while curbing financial losses caused by dosage and dispensing issues (Hospital, 2018). Unfortunately, in some cases, when the patient goes to the ER, most hospitals do not have all the drugs the patient is going to need to have since they manage the supplies manually, which can lead to inefficient operations and unproductive utilization of time and resources.

By automating supply, storage, and inventory of medication, errors, and drug shortages would be minimized, thereby improving patient experience (Hospital, 2018).

It is clear that AI has vast potential for healthcare organizations to innovate. It has already started on the administrative side of healthcare and the future is boundless (Gluck, 2018). These improvements would require the employment of computer technology and robust database management systems. By applying these tools to profile the practice of Emergency Medicine in our institution, we were able to harvest important clinical and operational information that was ultimately used to improve department efficiency and productivity (Guarisco, 2001).

References

Cheryl Gutherz and Shira Baron, “Why patients with primary care physicians use the emergency department for non-emergency care,” Einstein Journal of Biology and Medicine, volume 18, number 4, 2001.

Chong, H., & Gan, K. (2016, November 16). Development of automated triage system for emergency medical service. Retrieved from https://ieeexplore.ieee.org/document/7888125

Guarisco, J. S. (2001, April 3). Using computer technology in the automation of clinical and operating systems in emergency medicine. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3116769/

Gluck, J. (2018, June 11). How Automation in Healthcare is Boosting the Bottom Line. Retrieved from https://healthtechmagazine.net/article/2018/06/how-automation-can-translate-better-patient-care-and-boost-bottom-line

Hospital Workflows: 7 Processes You Need to Automate In A Hospital. (2018, September 04). Retrieved from https://kissflow.com/workflow/workflow-automation/7-processes-need-to-automate-in-hospital/