Adaptability and responsiveness: keys to operational measures in a regional hospital radiology department during the current COVID-19 pandemic

Mukherjee, Pratik; Lim, Tze Chwan; Chawla, Ashish; Chou, Hong; Peh, Wilfred C. G.

doi:10.1259/bjro.20200017

Cited by 4 publications

(4 citation statements)

References 8 publications

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“…Equation (9) ensures that there are enough male qualified technologists assigned a long day. Equations ( 10) and (11) guarantee that every radiologist is assigned a weekly workload that varies between 42 and 48 h, as imposed by the labor law. The 48 h workload corresponds to radiologist working one long day and five morning shifts and having one day off.…”

Section: Mathematical Programmentioning

confidence: 99%

On a timetabling problem in the health care system

Al-Mudahka

Alhamad

2022

RAIRO-Oper. Res.

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This paper proposes a literature review and a mathematical goal program for the design of timetables for radiologists. The goal program converts the tedious monthly tasks of the head of the radiology department of a leading hospital to a simple goal optimization problem that abides to the regulations of the Ministry of Health and avoids conflicting issues that may arise among coworkers. The optimization problem which is designed for the tactical level can also be used at the strategic level (i.e., account for a long time horizon) to plan for longer term constraints such vacations, medical and study leaves, recruitment, retirement, etc. Despite its large size, the problem is herein solved using an off-the-shelf solver (CPLEX). Empirical tests on the design of timetables for the case study prove the efficiency of the obtained schedule and highlights the time gain and utility of the developed model. They reflect the practical aspects of timetabling and radiologists' availability. Specifically, not only does the model and its solution reduce the effort of the Department head in this design stage, but it also promotes social peace among the technicians and a sense of fairness / unbiasedness. In addition, the designed model can be used at the operational level as a rescheduling tool by those technicians wishing to trade their shifts, and as a sensitivity analysis tool by managers wishing to study the effect of some phenomena such as absenteeism, increasing or decreasing the workforce, and extending work hours on the welfare of patients.

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Section: Mathematical Programmentioning

confidence: 99%

On a timetabling problem in the health care system

Al-Mudahka

Alhamad

2022

RAIRO-Oper. Res.

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“…Staggered rotation is implemented because of the following two reasons. [11] • Restriction of staff exposure to avoid mass quarantine or sickness, which further limits workforce • Limited in-house accommodation for staff in the time of severely restricted public transport during the lockdown.…”

Section: Staggered Rotation Among Employeesmentioning

confidence: 99%

Untitled

2020

Indian Journal of Medical and Paediatric Oncology

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At the time of writing this article, more than 18 million people worldwide have been infected by the severe acute respiratory syndrome-associated coronavirus-2 and about 700,000 people have died from coronavirus disease 2019 . In India, about 190,000 people have been infected and nearly 39,000 people have succumbed to this infection. Infection among health-care workers has emerged as one of the key problems in facing this pandemic. The purpose of this article is to describe the measures taken by the department of oncoradiology at our institution to control the infection and minimize staff exposure during the current lockdown period with reduced patient load and in the post-lockdown period with increased demand for radiology services. The key focus of this article is the continued delivery of cancer imaging services with practical precautions and optimized resources. We have also discussed algorithms and protocols unique to the practice of oncoradiology in the time of the COVID-19 pandemic.

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“…In recent decades, the research on disaster information dissemination has mostly focused on crisis communication and the reporting of emergencies, primarily on social security emergencies and public health emergencies, but less on major natural disasters and other emergencies relatively [8][9][10]. It is also uncommon to discuss research that integrates the dissemination of information about major natural disasters with all-encompassing disaster risk governance.…”

Section: Introductionmentioning

confidence: 99%

What We Have Learned about the Characteristics and Differences of Disaster Information Behavior in Social Media—A Case Study of the 7.20 Henan Heavy Rain Flood Disaster

Jia

Zhou

et al. 2023

Sustainability

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As a significant human behavior, disaster information behavior may operate as a catalyst for affecting the evolution of disaster occurrences in social-ecological systems and the sustainability of social systems. Yet little research has been carried out on this subject, particularly on the information behavior of major natural disasters. Based on the case of the 7.20 Henan heavy rain flood disaster, this study constructs an information behavior composite index from the four dimensions of temporal, spatial, content, and behavioral agents and statistically identifies and quantifies the characteristics and differences of disaster information behavior in social media. The results are as follows. (1) Disaster information behaviors have an obvious life cycle with three phases, essentially following the “formation-development-extinction” process; disaster areas, near-disaster areas, and economically and technologically developed areas exhibit higher levels of information behavior. (2) A total of 47% of the content is related to the case, while 53% is unrelated; the most related microblogs (43.88%) were about “Disaster response/relief”. (3) Females (54.19%) engage in more information behavior than males (45.81%) and they also exhibit more positive behavior; the 20–29-year-old age group is dominated by positive and neutral comments with the highest level of information behavior, whereas the lowest level of information behavior occurs in the 50+ age group; neutral and irrelevant comments in the 30–49-year-old age group dominated. This case study enables a scientific understanding of the necessity of information dissemination for disaster prevention and mitigation and further demonstrates the hazard, psychological distance, societal, and individual factors that all affect how disaster information behaves and performs differently.

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Adaptability and responsiveness: keys to operational measures in a regional hospital radiology department during the current COVID-19 pandemic

Cited by 4 publications

References 8 publications

On a timetabling problem in the health care system

On a timetabling problem in the health care system

Untitled

What We Have Learned about the Characteristics and Differences of Disaster Information Behavior in Social Media—A Case Study of the 7.20 Henan Heavy Rain Flood Disaster

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