Analyzing Health Data Breaches: A Visual Analytics Approach
This research studies the occurrence of data breaches in healthcare provider settings regarding patient data. Using visual analytics and data visualization tools, we study the distribution of healthcare breaches by state. We review the main causes and types of breaches, as well as their impact on bo...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-03-01
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| Series: | AppliedMath |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-9909/3/1/11 |
| _version_ | 1797613817639731200 |
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| author | Wullianallur Raghupathi Viju Raghupathi Aditya Saharia |
| author_facet | Wullianallur Raghupathi Viju Raghupathi Aditya Saharia |
| author_sort | Wullianallur Raghupathi |
| collection | DOAJ |
| description | This research studies the occurrence of data breaches in healthcare provider settings regarding patient data. Using visual analytics and data visualization tools, we study the distribution of healthcare breaches by state. We review the main causes and types of breaches, as well as their impact on both providers and patients. The research shows a range of data breach victims. Network servers are the most popular location for common breaches, such as hacking and information technology (IT) incidents, unauthorized access, theft, loss, and improper disposal. We offer proactive recommendations to prepare for a breach. These include, but are not limited to, regulatory compliance, implementing policies and procedures, and monitoring network servers. Unfortunately, the results indicate that the probability of data breaches will continue to rise. |
| first_indexed | 2024-03-11T07:00:01Z |
| format | Article |
| id | doaj.art-e4165d31ed4e4b69a2282c7a051a1b79 |
| institution | Directory Open Access Journal |
| issn | 2673-9909 |
| language | English |
| last_indexed | 2024-03-11T07:00:01Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | AppliedMath |
| spelling | doaj.art-e4165d31ed4e4b69a2282c7a051a1b792023-11-17T09:20:07ZengMDPI AGAppliedMath2673-99092023-03-013117519910.3390/appliedmath3010011Analyzing Health Data Breaches: A Visual Analytics ApproachWullianallur Raghupathi0Viju Raghupathi1Aditya Saharia2Gabelli School of Business, Fordham University, New York, NY 10023, USAKoppelman School of Business, Brooklyn College, City University of New York, Brooklyn, NY 11210, USAGabelli School of Business, Fordham University, New York, NY 10023, USAThis research studies the occurrence of data breaches in healthcare provider settings regarding patient data. Using visual analytics and data visualization tools, we study the distribution of healthcare breaches by state. We review the main causes and types of breaches, as well as their impact on both providers and patients. The research shows a range of data breach victims. Network servers are the most popular location for common breaches, such as hacking and information technology (IT) incidents, unauthorized access, theft, loss, and improper disposal. We offer proactive recommendations to prepare for a breach. These include, but are not limited to, regulatory compliance, implementing policies and procedures, and monitoring network servers. Unfortunately, the results indicate that the probability of data breaches will continue to rise.https://www.mdpi.com/2673-9909/3/1/11breach typedata breachhealthcarehealthcare providerinformation technologylocation |
| spellingShingle | Wullianallur Raghupathi Viju Raghupathi Aditya Saharia Analyzing Health Data Breaches: A Visual Analytics Approach AppliedMath breach type data breach healthcare healthcare provider information technology location |
| title | Analyzing Health Data Breaches: A Visual Analytics Approach |
| title_full | Analyzing Health Data Breaches: A Visual Analytics Approach |
| title_fullStr | Analyzing Health Data Breaches: A Visual Analytics Approach |
| title_full_unstemmed | Analyzing Health Data Breaches: A Visual Analytics Approach |
| title_short | Analyzing Health Data Breaches: A Visual Analytics Approach |
| title_sort | analyzing health data breaches a visual analytics approach |
| topic | breach type data breach healthcare healthcare provider information technology location |
| url | https://www.mdpi.com/2673-9909/3/1/11 |
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