Automated analysis of workflow cloud-based business process using map reduce algorithm

A key problem in the deployment of large-scale, reliable cloud computing is the difficulty to analyses the workflow of business processes operating in the cloud. Cloud Computing workflow needs to adhere to a variety of rules and offers high flexibility. The project proposes a novel approach to automated analysis of workflow in health care process currently being carried out in a manual fashion. Workflow refers to the interaction of processes through internet by which a clinic or hospital provides health care to patients. Health cloud comprises the electronic health records to access essential intelligence and share information through one simple interface that can be accessed by the Doctors, Patients and Pharmacists. Patients health records and necessary documents are submitted to the doctor through the Health cloud. The order of diagnosis is set based on the severity of the complaint using a Map Reduce algorithm. The diagnosis report is submitted to the Health cloud which can be viewed by both Patients and Pharmacists. The automated analysis is processed by Map Reduce algorithm. Voice communication can be included as an added feature to enhance the Health Cloud process. The proposed paper is an alternate to the current manual diagnosis that saves much time in the general cases.