Summary of A Global Medical Data Security and Privacy Preserving Standards Identification Framework For Electronic Healthcare Consumers, by Vinaytosh Mishra et al.
A Global Medical Data Security and Privacy Preserving Standards Identification Framework for Electronic Healthcare Consumers
by Vinaytosh Mishra, Kishu Gupta, Deepika Saxena, Ashutosh Kumar Singh
First submitted to arxiv on: 4 Oct 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper proposes a novel framework to standardize global rules for securing and protecting personal medical data in Electronic Health Records (EHR). The authors review existing literature on research interest, examine six key laws and standards related to security and privacy, and identify twenty concepts. Using K-means clustering, they categorize these concepts into five key factors and determine the preferred implementation using an Ordinal Priority Approach. This comprehensive framework aims to provide a descriptive then prescriptive approach for implementing privacy and security in EHRs. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps make digital healthcare better by creating global rules to keep personal medical information safe. Doctors, nurses, and people who make laws need this framework because it makes sure that everyone follows the same rules to protect patients’ data. |
Keywords
» Artificial intelligence » Clustering » K means
