Healthcare Data Breaches: Insights and Implications

The Internet of Medical Things, Smart Devices, Information Systems, and Cloud Services have led to a digital transformation of the healthcare industry. Digital healthcare services have paved the way for easier and more accessible treatment, thus making our lives far more comfortable. However, the pr...

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Main Authors: Adil Hussain Seh, Mohammad Zarour, Mamdouh Alenezi, Amal Krishna Sarkar, Alka Agrawal, Rajeev Kumar, Raees Ahmad Khan
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Healthcare
Subjects:
Online Access:https://www.mdpi.com/2227-9032/8/2/133
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author Adil Hussain Seh
Mohammad Zarour
Mamdouh Alenezi
Amal Krishna Sarkar
Alka Agrawal
Rajeev Kumar
Raees Ahmad Khan
author_facet Adil Hussain Seh
Mohammad Zarour
Mamdouh Alenezi
Amal Krishna Sarkar
Alka Agrawal
Rajeev Kumar
Raees Ahmad Khan
author_sort Adil Hussain Seh
collection DOAJ
description The Internet of Medical Things, Smart Devices, Information Systems, and Cloud Services have led to a digital transformation of the healthcare industry. Digital healthcare services have paved the way for easier and more accessible treatment, thus making our lives far more comfortable. However, the present day healthcare industry has also become the main victim of external as well as internal attacks. Data breaches are not just a concern and complication for security experts; they also affect clients, stakeholders, organizations, and businesses. Though the data breaches are of different types, their impact is almost always the same. This study provides insights into the various categories of data breaches faced by different organizations. The main objective is to do an in-depth analysis of healthcare data breaches and draw inferences from them, thereby using the findings to improve healthcare data confidentiality. The study found that hacking/IT incidents are the most prevalent forms of attack behind healthcare data breaches, followed by unauthorized internal disclosures. The frequency of healthcare data breaches, magnitude of exposed records, and financial losses due to breached records are increasing rapidly. Data from the healthcare industry is regarded as being highly valuable. This has become a major lure for the misappropriation and pilferage of healthcare data. Addressing this anomaly, the present study employs the simple moving average method and the simple exponential soothing method of time series analysis to examine the trend of healthcare data breaches and their cost. Of the two methods, the simple moving average method provided more reliable forecasting results.
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spelling doaj.art-de449121918c4d508f3713e4c4919b0b2023-11-20T00:21:43ZengMDPI AGHealthcare2227-90322020-05-018213310.3390/healthcare8020133Healthcare Data Breaches: Insights and ImplicationsAdil Hussain Seh0Mohammad Zarour1Mamdouh Alenezi2Amal Krishna Sarkar3Alka Agrawal4Rajeev Kumar5Raees Ahmad Khan6Department of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow 226025, IndiaCollege of Computer & Information Sciences, Prince Sultan University, Riyadh 12435, Saudi ArabiaCollege of Computer & Information Sciences, Prince Sultan University, Riyadh 12435, Saudi ArabiaDepartment of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow 226025, IndiaDepartment of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow 226025, IndiaDepartment of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow 226025, IndiaDepartment of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow 226025, IndiaThe Internet of Medical Things, Smart Devices, Information Systems, and Cloud Services have led to a digital transformation of the healthcare industry. Digital healthcare services have paved the way for easier and more accessible treatment, thus making our lives far more comfortable. However, the present day healthcare industry has also become the main victim of external as well as internal attacks. Data breaches are not just a concern and complication for security experts; they also affect clients, stakeholders, organizations, and businesses. Though the data breaches are of different types, their impact is almost always the same. This study provides insights into the various categories of data breaches faced by different organizations. The main objective is to do an in-depth analysis of healthcare data breaches and draw inferences from them, thereby using the findings to improve healthcare data confidentiality. The study found that hacking/IT incidents are the most prevalent forms of attack behind healthcare data breaches, followed by unauthorized internal disclosures. The frequency of healthcare data breaches, magnitude of exposed records, and financial losses due to breached records are increasing rapidly. Data from the healthcare industry is regarded as being highly valuable. This has become a major lure for the misappropriation and pilferage of healthcare data. Addressing this anomaly, the present study employs the simple moving average method and the simple exponential soothing method of time series analysis to examine the trend of healthcare data breaches and their cost. Of the two methods, the simple moving average method provided more reliable forecasting results.https://www.mdpi.com/2227-9032/8/2/133healthcare data breachesdata confidentialitydata securitycost effectivenessdata analysistime series analysis
spellingShingle Adil Hussain Seh
Mohammad Zarour
Mamdouh Alenezi
Amal Krishna Sarkar
Alka Agrawal
Rajeev Kumar
Raees Ahmad Khan
Healthcare Data Breaches: Insights and Implications
Healthcare
healthcare data breaches
data confidentiality
data security
cost effectiveness
data analysis
time series analysis
title Healthcare Data Breaches: Insights and Implications
title_full Healthcare Data Breaches: Insights and Implications
title_fullStr Healthcare Data Breaches: Insights and Implications
title_full_unstemmed Healthcare Data Breaches: Insights and Implications
title_short Healthcare Data Breaches: Insights and Implications
title_sort healthcare data breaches insights and implications
topic healthcare data breaches
data confidentiality
data security
cost effectiveness
data analysis
time series analysis
url https://www.mdpi.com/2227-9032/8/2/133
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