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http://10.1.7.192:80/jspui/handle/123456789/9533
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DC Field | Value | Language |
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dc.contributor.author | Macwan, Zealous | - |
dc.date.accessioned | 2021-01-05T05:39:08Z | - |
dc.date.available | 2021-01-05T05:39:08Z | - |
dc.date.issued | 2020-06-01 | - |
dc.identifier.uri | http://10.1.7.192:80/jspui/handle/123456789/9533 | - |
dc.description.abstract | Performance Flow project is about developing solution to manage, monitor, maintain and analyse assets of the Hospital. By developing this solution it will help medical stack-holders to improve the overall management of assets with useful insights from the assets and better healthcare satisfaction to patients. Medical staff can easily find the required medical devices with-out wasting much time on searching for the assets, which will also improve their satisfaction on work. Support and Maintenance staff can monitor and diagnose the IT infrastructure used for asset tracking and management. It will have alerting and notification to report any abnormal performance of the resources and related teams will be notified. As these assets sends valuable information as per their capabilities, these information will be analysed so that assets can be optimally utilized. Patients overall flow in the hospital for required treatment can be monitored and can be improved by finding out where the timing can be improvised. | en_US |
dc.publisher | Institute of Technology | en_US |
dc.relation.ispartofseries | 18MCEI04; | - |
dc.subject | Computer 2018 | en_US |
dc.subject | Project Report 2018 | en_US |
dc.subject | Computer Project Report | en_US |
dc.subject | Project Report | en_US |
dc.subject | 18MCEI | en_US |
dc.subject | 18MCEI04 | en_US |
dc.subject | INS | en_US |
dc.subject | INS 2018 | en_US |
dc.subject | CE (INS) | en_US |
dc.title | Performance Flow: Hospital Assets Monitoring and Notification System | en_US |
dc.type | Dissertation | en_US |
Appears in Collections: | Dissertation, CE (INS) |
Files in This Item:
File | Description | Size | Format | |
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18MCEI04.pdf | 18MCEI04 | 2.34 MB | Adobe PDF | ![]() View/Open |
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