Public transit accessibility approach to understand the equity for public healthcare services: A case study of Greater Mumbai

2021 ◽  
Vol 94 ◽  
pp. 103123
Author(s):  
Gajanand Sharma ◽  
Gopal R. Patil
Keyword(s):  
Public Transit ◽  
Healthcare Services ◽  
Public Healthcare ◽  
Transit Accessibility

scholarly journals Gamification Techniques to Re-Invent Public Healthcare Services – A Case Study

2019 ◽  
Vol 9 (2) ◽  
pp. 339
Author(s):  
Mohamed Buheji
Keyword(s):  
Public Services ◽  
Empirical Studies ◽  
Behavioural Change ◽  
Healthcare Services ◽  
Public Healthcare ◽  
Change Initiatives ◽  
The Public

Interest is growing in gamification of the different public services to enhance the development through engagement of the concerned stakeholders. A review of the gamification applied in healthcare services through inspiration labs is illustrated. The paper investigates how the different gamification constructs and techniques help in re-inventing the public healthcare services.The findings of the study are presented around the opportunities and learning that comes from gamifying the change initiatives. The paper shows how researchers and practitioners can gamify complex public services, as healthcare sectors, and create a change to different activities that would lead to a behavioural change of the targeted community. The study makes a recommendation to considers more in-depth empirical studies that enhance the integration of gamification in more public services.

Evaluations for New Healthcare Environment Commissioning and Operational Decision Making Using Simulation and Human Factors: A Case Study of an Interventional Trauma Operating Room

2021 ◽  
pp. 193758672199966
Author(s):  
Mirette Dubé ◽  
Jason Laberge ◽  
Elaine Sigalet ◽  
Jonas Shultz ◽  
Christine Vis ◽  
...  
Keyword(s):  
Decision Making ◽  
Human Factors ◽  
Operating Room ◽  
Healthcare Services ◽  
Healthcare Team ◽  
Healthcare Environment ◽  
New Process ◽  
Timely Access ◽  
Operational Decision Making

Purpose: The aim of this article is to provide a case study example of the preopening phase of an interventional trauma operating room (ITOR) using systems-focused simulation and human factor evaluations for healthcare environment commissioning. Background: Systems-focused simulation, underpinned by human factors science, is increasingly being used as a quality improvement tool to test and evaluate healthcare spaces with the stakeholders that use them. Purposeful real-to-life simulated events are rehearsed to allow healthcare teams opportunity to identify what is working well and what needs improvement within the work system such as tasks, environments, and processes that support the delivery of healthcare services. This project highlights salient evaluation objectives and methods used within the clinical commissioning phase of one of the first ITORs in Canada. Methods: A multistaged evaluation project to support clinical commissioning was facilitated engaging 24 stakeholder groups. Key evaluation objectives highlighted include the evaluation of two transport routes, switching of operating room (OR) tabletops, the use of the C-arm, and timely access to lead in the OR. Multiple evaluation methods were used including observation, debriefing, time-based metrics, distance wheel metrics, equipment adjustment counts, and other transport route considerations. Results: The evaluation resulted in several types of data that allowed for informed decision making for the most effective, efficient, and safest transport route for an exsanguinating trauma patient and healthcare team; improved efficiencies in use of the C-arm, significantly reduced the time to access lead; and uncovered a new process for switching OR tabletop due to safety threats identified.

scholarly journals Machine Learning and LPWAN Based Internet of Things Applications in Healthcare Sector during COVID-19 Pandemic

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1615
Author(s):  
Zeeshan Ali Khan ◽  
Ubaid Abbasi ◽  
Sung Won Kim
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Healthcare Services ◽  
Healthcare Sector ◽  
K Nearest Neighbors ◽  
Iot Applications ◽  
Processing Resources ◽  
Multiple Services ◽  
Applications Of Machine Learning

Low power wide area networks (LPWAN) are comprised of small devices having restricted processing resources and limited energy budget. These devices are connected with each other using communication protocols. Considering their available resources, these devices can be used in a number of different Internet of Things (IoT) applications. Another interesting paradigm is machine learning, which can also be integrated with LPWAN technology to embed intelligence into these IoT applications. These machine learning-based applications combine intelligence with LPWAN and prove to be a useful tool. One such IoT application is in the medical field, where they can be used to provide multiple services. In the scenario of the COVID-19 pandemic, the importance of LPWAN-based medical services has gained particular attention. This article describes various COVID-19-related healthcare services, using the the applications of machine learning and LPWAN in improving the medical domain during the current COVID-19 pandemic. We validate our idea with the help of a case study that describes a way to reduce the spread of any pandemic using LPWAN technology and machine learning. The case study compares k-Nearest Neighbors (KNN) and trust-based algorithms for mitigating the flow of virus spread. The simulation results show the effectiveness of KNN for curtailing the COVID-19 spread.

scholarly journals Public Transit Loyalty Modeling Considering the Effect of Passengers’ Emotional Value: A Case Study in Xiamen, China

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Shi-chao Sun
Keyword(s):  
Structural Equation ◽  
Goodness Of Fit ◽  
Public Transit ◽  
Perceived Value ◽  
Index Score ◽  
The Public ◽  
Bus Service ◽  
Bus Services ◽  
Emotional Value

To better sustain passengers’ loyalty towards bus service, this paper addressed the modeling of the public transit loyalty by the use of structural equation model. As a novel hypothesis, the emotional value was considered to have effects on the perceived value of bus services in this study, which reflected the degree of passengers’ emotional dependence on the public transit. Specifically, in order to better assess the loyalty, seven unobserved variables were measured to construct the structural model, namely, “service guarantee,” “operational services and efficiency,” “emotional value,” “perceived value,” “expectation,” “satisfaction,” and “loyalty.” The goodness-of-fit of the model was estimated and evaluated by using the survey data harvested from Xiamen, China. Besides, the index score of variables was also computed to help determine targeted approaches to better improve the level of bus service. The results indicated that the time cost and the monetary cost actually had no effects on the perceived value of users in the case study. At the same time, however, it also proved that passengers’ emotional value towards the public transit indeed affected passengers’ perception of the service value. In addition, whether users’ perceived value was as expected determined how much passengers satisfied with the service. Regarding the index score of variables, it indicated a great dissatisfaction of passengers towards the current bus service. Unexpectedly, the score of loyalty even still retained a relatively high level, which reflected continue-to-use willingness of passengers. It implied that being subject to economic conditions and other factors, passengers were captive and had to continue relying on the public transit, in spite of their dissatisfaction. As for the improvement direction of bus services, targeted approaches should be determined to improve the quality of bus service, regarding the aspects of “condition of facilities in the bus,” “driving stability and comfort,” “vehicle speed,” and “safety.”

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