An Authorization Model for E-consent Requirement in a Health Care Application

Author(s):  
Chun Ruan ◽  
Vijay Varadharajan

The advancement of mathematical model has utilized for simulating the output of medical is a development area over medicine whereas the modeling can be mentioned with several activities namely simulation or decision analysis and predictive modeling. However, the traditional modeling technique utilized in planning of health service, assessment reports and its efficiency, financing about health care and assessment in budget impact, assessment in health economics, surveillance of infectious disease and other health care application. Therefore, the mathematical modelling is performed as a frequent and timely benefit in order to make rapid decision making while facing investigation with several issues like time elapsing, unusual and unethical particularly projected for future. This paper focused in applying the mathematical modeling to accomplish an optimal decision making in healthcare whereas this study discuss about the specific modeling concepts namely decision tree and fuzzified rule tables on evaluation of health economics and better service planning that my replicate the individual experience or patients cohorts.


2008 ◽  
pp. 2865-2891
Author(s):  
Sarath Indrakanti ◽  
Vijay Varadharajan ◽  
Michael Hitchens

In this paper, we discuss the design issues for an authorization framework for Web Services. In particular, we describe the features required for an authorization policy language for Web Services. We briefly introduce the authorization service provided by Microsoft .NET MyServices and describe our extended authorization model that proposes extensions to the .NET MyServices authorization service to support a range of authorization policies required in commercial systems. We discuss the application of the extended authorization model to a health care system built using Web Services. We use the XML Access Control Language (XACL) in our implementation to demonstrate our extended authorization model. This also enables us to evaluate the range of authorization policies that XACL supports.


Author(s):  
J Pamina ◽  
Ajeykanth S ◽  
Arjun P ◽  
Jitthesh Krishna T

IoT revolution is re-designing modern health care with high technological, economic, and social prospects. Artificial intelligence (AI) aims to substitute human cognitive functions. It gives a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. The internet of things has lots of applications in healthcare, from remote monitoring to smart sensors and medical device integration. It has the ability to not only keep patients safe and healthy but to improve how physicians deliver care as well. Healthcare IoT can also boost patient engagement and satisfaction by allowing patients to spend more time interacting with their doctors. With the combination of both IoT & AI technologies, it can apply chatbots for medical assistance in healthcare. An IoT based monitoring system & AI based analytics system with an interactive chat-robots is the more outstanding application in healthcare. The Medical Assistant recognizes the user voice input and converts the speech into text. Here we concentrate on the different type of fevers, like chickenpox, malaria, septicemia, viral fever etc. Each fever has different symptoms .we finalize the fever by using symptoms. After that text mining, those phrases would be split as a noun and medical terms. From term analysis, the assistant will answer the query from users. It also analyzes the sensor data (body temp, heartbeat) from the cloud and expresses the user health condition.


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