Utilizing Big Data Algorithms and Cloud Computing to Establish Centralized Electronic Health Records
This paper aims to leverage massive statistics algorithms and cloud computing to create centralized electronic fitness statistics (EHRs) that are quickly and easily handy for all authorized healthcare professionals. The paper will evaluate the critical principles and technological advances that migh...
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Format: | Buchkapitel |
Sprache: | eng |
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Zusammenfassung: | This paper aims to leverage massive statistics algorithms and cloud computing to create centralized electronic fitness statistics (EHRs) that are quickly and easily handy for all authorized healthcare professionals. The paper will evaluate the critical principles and technological advances that might be essential to setting up a possible EHR gadget. It will start with a dialogue about what an EHR is and how it has grown to be an increasing number of critical these days. The discussion will also include an overview of the different styles of EHRs and their benefits and disadvantages. The paper will then study the benefits of big statistics algorithms and cloud computing for EHRs. It will discuss how cloud computing permits efficient records retrieval, storage, and analysis competencies, in addition to how big facts analytics may be used for meaningful evaluation of large datasets. Eventually, the paper will consider the demanding situations related to using significant facts algorithms and cloud computing and recommend a few possible solutions. |
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ISSN: | 1876-1100 1876-1119 |
DOI: | 10.1007/978-981-97-8043-3_78 |