A novel fog-computing-assisted architecture of E-healthcare system for pregnant women

Author(s):  
Rydhm Beri ◽  
Mithilesh K. Dubey ◽  
Anita Gehlot ◽  
Rajesh Singh ◽  
Mohammed Abd-Elnaby ◽  
...  
Author(s):  
Mirjana Maksimović

Nowhere do the technology advancements bring improvements than in the healthcare sector, constantly creating new healthcare applications and systems which completely revolutionize the healthcare domain. The appearance of Internet of Things (IoT) based healthcare systems has immensely improved quality and delivery of care, and significantly reduced the costs. At the same time, these systems generate the enormous amount of health-associated data which has to be properly gathered, analyzed and shared. The smart devices, as the components of IoT-driven healthcare systems, are not able to deal with IoT-produced data, neither data posting to the Cloud is the appropriate solution. To overcome smart devices’ and Cloud’s limitations the new paradigm, known as Fog computing, has appeared, where an additional layer processes the data and sends the results to the Cloud. Despite numerous benefits Fog computing brings into IoT-based environments, the privacy and security issues remain the main challenge for its implementation. The reasons for integrating the IoT-based healthcare system and Fog computing, benefits and challenges, as well as the proposition of simple low-cost system are presented in this paper.


2021 ◽  
Author(s):  
Michael Enbibel

This research is done for optimizing telemedicine framework by using fogging or fog computing for smart healthcare systems. Fog computing is used to solve the issues that arise on telemedicine framework of smart healthcare system like Infrastructural, Implementation, Acceptance, Data Management, Security, Bottleneck system organization, and Network latency Issues. we mainly used Distributed Data Flow (DDF) method using fog computing in order to fully solve the listed issues.


Author(s):  
Chandu Thota ◽  
Revathi Sundarasekar ◽  
Gunasekaran Manogaran ◽  
Varatharajan R ◽  
Priyan M. K.

This chapter proposes an efficient centralized secure architecture for end to end integration of IoT based healthcare system deployed in Cloud environment. The proposed platform uses Fog Computing environment to run the framework. In this chapter, health data is collected from sensors and collected sensor data are securely sent to the near edge devices. Finally, devices transfer the data to the cloud for seamless access by healthcare professionals. Security and privacy for patients' medical data are crucial for the acceptance and ubiquitous use of IoT in healthcare. The main focus of this work is to secure Authentication and Authorization of all the devices, Identifying and Tracking the devices deployed in the system, Locating and tracking of mobile devices, new things deployment and connection to existing system, Communication among the devices and data transfer between remote healthcare systems. The proposed system uses asynchronous communication between the applications and data servers deployed in the cloud environment.


2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S167-S167
Author(s):  
Tripti Adhikari ◽  
Rachel Scott ◽  
Utsav Timalsina ◽  
Ariunzaya Amgalan ◽  
Shari L Sawney ◽  
...  

Abstract Background Prevalence of HCV in pregnancy is 0.1–3.6%. AASLD and IDSA now recommend HCV screening in pregnancy although CDC, USPSTF, or ACOG still do not—though HCV can be perinatally transmitted and carries associated complications for the mother and fetus. Our study objectives were to analyze prenatal HCV screening practices at a large regional healthcare system and the prevalence of HCV-associated maternal and fetal/neonatal outcomes. Methods We performed a nested propensity score (PS) case–control study of pregnant women who tested HCV Ab+ in a cross-sectional study of women presenting for prenatal care at a large regional healthcare system from January 17 to December 18. We collected retrospective EHR data, including state of residency, HCV Ab, RNA, care engagement, HCV risk factors, comorbidities, maternal and fetal/neonatal morbidity, and neonatal HCV testing (when available). Mixed and generalized linear models were used to examine differences in continuous and categorical variables, respectively, between cases and controls Results 14,363 women were seen for prenatal care; 4,891 (34%) were HCV tested, 75 (1.5%) tested HCV Ab+. Demographic and comorbidity data are shown in Table 1. HCV Ab+ cases had more co-morbidities, including obesity, heart disease, opioid use, and behavioral health issues compared with the controls. HCV risk factors included IVDU (64%) and tattoos (24%) (Figure 1). Neither past/current pregnancy-related complications nor fetal or neonatal adverse events (Figure 2) were statistically significantly different except for cholestasis in HCV Ab+ cases (5.3 vs. 0%, P = 0.04). Conclusion Our study showed only one-third of pregnant women are currently HCV screened in our health system. Universal screening would likely increase the number of HCV-infected women identified. Early HCV detection, repeated testing, and behavioral health intervention of those at high-risk may decrease further horizontal and vertical transmission of HCV in pregnancy. Disclosures All authors: No reported disclosures.


2016 ◽  
Vol 22 (11) ◽  
pp. 3432-3436 ◽  
Author(s):  
Jeong-Kyung Moon ◽  
You-Jin Song ◽  
Jin-Mook Kim

Fog Computing ◽  
2018 ◽  
pp. 365-378 ◽  
Author(s):  
Chandu Thota ◽  
Revathi Sundarasekar ◽  
Gunasekaran Manogaran ◽  
Varatharajan R ◽  
Priyan M. K.

This chapter proposes an efficient centralized secure architecture for end to end integration of IoT based healthcare system deployed in Cloud environment. The proposed platform uses Fog Computing environment to run the framework. In this chapter, health data is collected from sensors and collected sensor data are securely sent to the near edge devices. Finally, devices transfer the data to the cloud for seamless access by healthcare professionals. Security and privacy for patients' medical data are crucial for the acceptance and ubiquitous use of IoT in healthcare. The main focus of this work is to secure Authentication and Authorization of all the devices, Identifying and Tracking the devices deployed in the system, Locating and tracking of mobile devices, new things deployment and connection to existing system, Communication among the devices and data transfer between remote healthcare systems. The proposed system uses asynchronous communication between the applications and data servers deployed in the cloud environment.


Sign in / Sign up

Export Citation Format

Share Document