Application of RFID Technology to Reduce Overcrowding in Hospital Emergency Departments

Thapa, Roshan; Bhuiyan, Moshiur; Krishna, Aneesh; Prasad, P. W. C.

doi:10.1007/978-3-319-74817-7_2

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…22 The overcrowding problem has been one of the challenging issues for healthcare units, including outpatient, 23 inpatient, 24 and emergency departments. 25 When the problem occurs, it is leading to inefficient patient flows and a long patient WT. Moreover, the problem is associated with delayed treatment for patients, lower patient satisfaction, increased number of medical errors, and higher patient mortality.…”

Section: Literature Reviewmentioning

confidence: 99%

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Evaluating Different Strategies on the Blood Collection Counter Settings to Improve Patient Waiting Time in Outpatient Units

Chen

Tsai

Chou

et al. 2022

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Long patient waiting time is one of the major problems in the healthcare system and it would decrease patient satisfaction. Previous studies usually investigated how to improve the treatment flow in order to reduce patient waiting time or length of stay. The studies on blood collection counters have received less attention. Therefore, the objective of this study is to reduce the patient waiting time at outpatient clinics for metabolism and nephrology outpatients. A discrete-event simulation is used to analyze the four different strategies for blood collection counter resource allocation. Through analyzing four different strategic settings, the experimental results revealed that the maximum number of patients waiting before the outpatient clinics was reduced from 41 to 33 (20%); the maximum patient waiti-ng time at the outpatient clinics was decreased from 201.6 minutes to 83 minutes (59%). In this study, we found that adjusting the settings of blood collection counters would be beneficial. Assigning one exclusive blood collection counter from 8 to 10 am is the most suitable option with the least impact on the operational process for hospital staff. The results provide managerial insight regarding the cost-effective strategy selection for the hospital operational strategy.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Evaluating Different Strategies on the Blood Collection Counter Settings to Improve Patient Waiting Time in Outpatient Units

Chen

Tsai

Chou

et al. 2022

INQUIRY

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“…Several strategies have been used to increase the efficiency of procedures, healthcare processes in various hospitals, and logistics and resource management; ranging from Lean and Six Sigma to simulation [7,8,15,21], many techniques have been used to address the problem of overcrowding in EDs [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Overcrowding analysis in emergency department through indexes: a single center study

et al. 2022

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Introduction Overcrowding in the Emergency Department (ED) is one of the major issues that must be addressed in order to improve the services provided in emergency circumstances and to optimize their quality. As a result, in order to help the patients and professionals engaged, hospital organizations must implement remedial and preventative measures. Overcrowding has a number of consequences, including inadequate treatment and longer hospital stays; as a result, mortality and the average duration of stay in critical care units both rise. In the literature, a number of indicators have been used to measure ED congestion. EDWIN, NEDOCS and READI scales are considered the most efficient ones, each of which is based on different parameters regarding the patient management in the ED. Methods In this work, EDWIN Index and NEDOCS Index have been calculated every hour for a month period from February 9th to March 9th, 2020 and for a month period from March 10th to April 9th, 2020. The choice of the period is related to the date of the establishment of the lockdown in Italy due to the spread of Coronavirus; in fact on 9 March 2020 the Italian government issued the first decree regarding the urgent provisions in relation to the COVID-19 emergency. Besides, the Pearson correlation coefficient has been used to evaluate how much the EDWIN and NEDOCS indexes are linearly dependent. Results EDWIN index follows a trend consistent with the situation of the first lockdown period in Italy, defined by extreme limitations imposed by Covid-19 pandemic. The 8:00–20:00 time frame was the most congested, with peak values between 8:00 and 12:00. on the contrary, in NEDOCS index doesn’t show a trend similar to the EDWIN one, resulting less reliable. The Pearson correlation coefficient between the two scales is 0,317. Conclusion In this study, the EDWIN Index and the NEDOCS Index were compared and correlated in order to assess their efficacy, applying them to the case study of the Emergency Department of “San Giovanni di Dio e Ruggi d’Aragona” University Hospital during the Covid-19 pandemic. The EDWIN scale turned out to be the most realistic model in relation to the actual crowding of the ED subject of our study. Besides, the two scales didn’t show a significant correlation value.

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Novel RFID anti-collision algorithm based on the Monte–Carlo query tree search

Samsami

Yasrebi

2020

Wireless Netw

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Application of RFID Technology to Reduce Overcrowding in Hospital Emergency Departments

Cited by 6 publications

References 9 publications

Evaluating Different Strategies on the Blood Collection Counter Settings to Improve Patient Waiting Time in Outpatient Units

Evaluating Different Strategies on the Blood Collection Counter Settings to Improve Patient Waiting Time in Outpatient Units

Overcrowding analysis in emergency department through indexes: a single center study

Novel RFID anti-collision algorithm based on the Monte–Carlo query tree search

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