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A Semantica lly Enriched Clinical Guideline Model Enabl ing Deployment in Heterogeneous Healthcare Environments

Category : BioMedical


Sub Category : Health care Man


Project Code : ITBIO15


Project Abstract

Abstract:

Clinical guidelines are developed to assist healthcarepractitioners to make decisions on patient’s medical problems, and as such they communicate with external applications to retrieve patient data to initiate medical actions through clinical workflows, and transmit information to alert/reminder systems.The interoperability problems in the healthcare information technology domain prevent wider deployment of clinical guidelines because each deployment requires a tedious custom adaptation phase. In this paper, we provide machine-processable mechanisms that express the semantics of clinical guideline interfaces so that automated processes can be used to access the clinical resources for guideline deployment and execution. To be able to deploy the semantically extended guidelines to healthcare settings semiautomatically, the underlying application’s semantics must also be available. We describe how this can be achieved based on two prominent implementation technologies in use in the eHealth domain: integrating healthcare enterprise cross-enterprise document sharing integration profile for discovering and exchanging electronic healthcare records andWebservice technology for interacting with the clinical workflows and wireless medical sensor devices. The system described in this paper

is realized within the scope of the SAPHIRE Project.

Existing System

Proposed System

The sensors withthe protocol standard have a high cost and still lack popularity inHospital WSN in IoT environment.

 

Drawbacks

Ø There is no wireless system for data transfer.

Ø It is not possible to monitor theresources

Ø High cost and more time consumption.

We design and implement a WSN data acquisition interface that can be used for hospital environmental monitoring.workflow include a hospital environmentmonitoring system that adopts sensors to detect pollution and abnormalities

 

Advantages

Ø  Easy to monitorpollution

Ø  Helpful to maintain the resources

Ø  Easy to maintain data.

 
 
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