scholarly journals How COVID-19 Will Change Health, Hospitality and Senior Facility Design

2021 ◽  
Vol 7 ◽  
Author(s):  
McCuskey Mardelle Shepley ◽  
Heather Kolakowski ◽  
Nicolas Ziebarth ◽  
Ellie Valenzuela-Mendoza

Background: Based on recent experiences with the COVID-19 pandemic, designers and design researchers are crafting guidelines for the development of future environments. In this context, this paper focuses on future best practices regarding environments for health, hospitality and senior care.Methods: An extensive literature review was conducted, the results of which were distributed to a group of experts (N=12) specializing in health, hospitality and design. After receiving their input, expert focus groups were conducted to further explore the proposed concepts. The document was revised based on the contributions of these field experts, resubmitted for additional input, and ultimately summarized in this paper.Results: Based on the literature review and expert input, dozens of recommendations were made regarding post-COVID health, hospitality and seniors environments. Healthcare facilities will require additional space, access to the outdoors, service hubs, and additional infrastructure to all conversion of garages for emergency use. Hospitality settings will employ new cleaning methods, use of robotics, improved HVAC, Wellness programming, workspace options, and flexible food service operations. Senior facilities will engage more technology, socially distance visiting facilities, increase access to nature, and smaller scale residential clusters.Discussion: By considering health and hospitality simultaneously, we come to understand the symbiotic benefits of applying goals from one sector to the other. Senior living environments are an excellent example of this approach in action. By implementing some of the proposed design recommendations generated by this research, we will be better prepared to face future challenges.

2019 ◽  
Author(s):  
Meghana Bastwadkar ◽  
Carolyn McGregor ◽  
S Balaji

BACKGROUND This paper presents a systematic literature review of existing remote health monitoring systems with special reference to neonatal intensive care (NICU). Articles on NICU clinical decision support systems (CDSSs) which used cloud computing and big data analytics were surveyed. OBJECTIVE The aim of this study is to review technologies used to provide NICU CDSS. The literature review highlights the gaps within frameworks providing HAaaS paradigm for big data analytics METHODS Literature searches were performed in Google Scholar, IEEE Digital Library, JMIR Medical Informatics, JMIR Human Factors and JMIR mHealth and only English articles published on and after 2015 were included. The overall search strategy was to retrieve articles that included terms that were related to “health analytics” and “as a service” or “internet of things” / ”IoT” and “neonatal intensive care unit” / ”NICU”. Title and abstracts were reviewed to assess relevance. RESULTS In total, 17 full papers met all criteria and were selected for full review. Results showed that in most cases bedside medical devices like pulse oximeters have been used as the sensor device. Results revealed a great diversity in data acquisition techniques used however in most cases the same physiological data (heart rate, respiratory rate, blood pressure, blood oxygen saturation) was acquired. Results obtained have shown that in most cases data analytics involved data mining classification techniques, fuzzy logic-NICU decision support systems (DSS) etc where as big data analytics involving Artemis cloud data analysis have used CRISP-TDM and STDM temporal data mining technique to support clinical research studies. In most scenarios both real-time and retrospective analytics have been performed. Results reveal that most of the research study has been performed within small and medium sized urban hospitals so there is wide scope for research within rural and remote hospitals with NICU set ups. Results have shown creating a HAaaS approach where data acquisition and data analytics are not tightly coupled remains an open research area. Reviewed articles have described architecture and base technologies for neonatal health monitoring with an IoT approach. CONCLUSIONS The current work supports implementation of the expanded Artemis cloud as a commercial offering to healthcare facilities in Canada and worldwide to provide cloud computing services to critical care. However, no work till date has been completed for low resource setting environment within healthcare facilities in India which results in scope for research. It is observed that all the big data analytics frameworks which have been reviewed in this study have tight coupling of components within the framework, so there is a need for a framework with functional decoupling of components.


2021 ◽  
pp. 2516600X2110059
Author(s):  
Som Sekhar Bhattacharyya ◽  
Rajesh Chandwani

The COVID-19 pandemic highlighted the necessity of good quality and adequate quantity of healthcare infrastructure facilities. Healthcare facilities were provided for COVID-19 facilities with improvisation and supplementary lateral infrastructure from other sectors. However, the main point of contemplation going into the future was regarding how to quickly develop healthcare facilities. The subject domain of ‘industrial engineering’ (IE) and its associated perspectives could provide some key insights regarding this. The authors undertook a conceptual literature review and provided theoretical argumentation toward this. The findings provided insights regarding the application of industrial engineering concepts in healthcare facilities and services.


1998 ◽  
Vol 4 (2) ◽  
pp. 67-73 ◽  
Author(s):  
Hadyn Ingram ◽  
Sue Jones

2021 ◽  
Author(s):  
Miriam Lohrmann

Customer cognitive legitimacy is an important factor in a new business venture’s survival. Based on an extensive literature review of customer cognitive legitimacy, this book examines the consistent conceptualisation of the concept and its dimensional structure. This consistent conceptualisation facilitates the development of the reliable and valid three-dimensional customer cognitive legitimacy scale in 10 studies. The scale is based on potential customers’ interest in acquiring knowledge about a product and the company responsible for it, their perception of the company’s and the product’s future, and their perception of how competent the company’s managers are.


2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Yingbo Gong ◽  
Xin Wang ◽  
Zhi Zhu

Background. Pseudomyxoma peritonei (PMP) is a rare neoplasm involving the peritoneum. Most PMPs are low-grade appendicular mucinous neoplasms (LAMNs). There have been no reports of PMP originating from a transverse colonic mucinous adenocarcinoma and causing metastatic mucinous adenocarcinoma. Case Presentation. We report a 46-year-old woman who presented with a right abdominal mass of more than 4-month duration. Transverse colonic mucinous adenocarcinoma, PMP, and ovarian metastatic mucinous adenocarcinoma were diagnosed. The patient’s diet was normal, and she had no abdominal pain or bloating. The abdomen mass increased in the month before treatment. After chemotherapy, the transverse colon mass and ovarian giant cyst were resected and about 2000 mL of gelatinous tumor tissue was removed. Postoperative histology confirmed PMP from the transverse colonic mucinous adenocarcinoma, ovarian metastatic mucinous adenocarcinoma, and mesocolon metastatic cancer. Multiple lung metastases appeared 8 months after surgery. The patient died 29 months after surgery because of an inability to eat and poor nutrition. A systematic literature review of the management and outcome of all known similar cases is also presented. Conclusions. This is the first report of PMP originating from a transverse colonic mucinous adenocarcinoma. It was diagnosed during resective surgery, involved ovarian metastasis, and survival was short. We did an extensive literature review in order to describe the clinical characteristics, histopathological findings, genetic profile, and potential treatments of PMP caused by nonappendiceal mucinous adenocarcinoma.


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