An Approach to Continuous Pervasive Care of Remote Patients Based on Priority Based Assignment of Nurse

Abstract : Remote care of patient is now becoming a subject of major concern in healthcare services. Proposed work describes a pervasive system to assist continuously the patients who are at remote place from the connected hospital using a priority based classification and assignment of nurses to the high risk patients. The challenge lies in storage and management of the vast amount of real-time data originating from heterogeneous sources under dynamic situations. This paper attempts to design a new system consisting of several modules for managing real-time heterogeneous data. The overwhelming data could cause difficulty to decide over numerous patients to whom the care should be given first and then onwards. To solve this, the proposed system attempts to derive fuzzy rules to make decision based on priority among selected groups in a dynamic environment. This proposed model formulates an indexed hash key for high risk patients and proper nurse relatively.
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Paramita Sarkar, Ditipriya Sinha. An Approach to Continuous Pervasive Care of Remote Patients Based on Priority Based Assignment of Nurse. 13th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Nov 2014, Ho Chi Minh City, Vietnam. pp.327-338, ⟨10.1007/978-3-662-45237-0_31⟩. ⟨hal-01405603⟩

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