FOG COMPUTING TECHNOLOGIES FOR PATIENT SENSOR NETWORKS – TRENDS, ISSUES AND FUTURE DIRECTIONS

Advances in sensors and internet of things promise broad opportunities in many areas and one of them is health care. There are many solutions to manage health care data based on cloud computing. However, high response latency, large volumes of data transferred and security are the main issues of such approach. Fog computing provides immediate response and ways to process large amounts of data using real time analytics which includes machine learning and AI. Fog computing has not yet fully matured and there are still many challenges when managing health care data. It was chosen to investigate the most relevant ehealth fog computing topics by analyzing review articles to explain the fog computing model and present the current trends – fog computing ehealth technology application environments, deployment cases, infrastructure technologies, data processing challenges, problems and future directions. 38 scientific review articles published in the last 5 years were selected for analysis, filtering the most significant works with Web of Science article search tool.

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The Impact of Palliative Care: Present and Future

Journal of Palliative Care ◽

10.1177/082585978500100107 ◽

1985 ◽

Vol 1 (1) ◽

pp. 35-39 ◽

Cited By ~ 1

Author(s):

Elizabeth J. Latimer

Keyword(s):

Health Care ◽

Palliative Care ◽

Symptom Control ◽

Critical Evaluation ◽

Health Sciences ◽

Future Directions ◽

Current Trends ◽

Care Health ◽

The Impact ◽

To Receive

Palliative care is a concept of care with philosophical basis comprising people who work in the field. It exists in relation to a system that stands more or less ready to receive it. The influence of palliative care on the present health care scene is significant. It is reflected in popular thought and literature, current trends in health care, health care literature, new approaches to pain and symptom control, and health sciences education. The factors that will affect the future impact of palliative care are variables related to its definition, the providers themselves, and the system in which it is established. Critical evaluation of the outcome for patients, families, and the system, although difficult in such a field, is essential to defining present activities and future directions.

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An integrated data management approach to manage health care data

Proceedings of the Third ACM International Conference on Distributed Event-Based Systems - DEBS '09 ◽

10.1145/1619258.1619308 ◽

2009 ◽

Cited By ~ 3

Author(s):

Diogo Guerra ◽

Ute Gawlick ◽

Pedro Bizarro

Keyword(s):

Health Care ◽

Data Management ◽

Management Approach ◽

Health Care Data ◽

Manage Health Care

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Integrated Secure Health Domain System using IoT

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.d7101.118419 ◽

2019 ◽

Vol 8 (4) ◽

pp. 483-485

Keyword(s):

Health Care ◽

Cloud Computing ◽

Health Care System ◽

Data Transfer ◽

Fog Computing ◽

System Failures ◽

Health Care Data ◽

Health Domain ◽

Qos Parameters ◽

Care System

Fog computing plays major role in health care system. Fog performs well compare with cloud computing. Health care system needs more enhancements because there sensitivity. It is very important to secure the data in the health care system. Though there are many systems for health care security still there are issues to secure the data transfer from client to the fog by cloud computing. In the previous papers, we have discussed QOS parameters and various preventions to transmission of data from sensors to fog. IOT is most widely used in health systems to increase the performance which adopted with fog computing. In this paper, the integrated secure health domain system (ISHDS) used to overcome the system failures and providing the security for the health care data in various situations.

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