Analyzing the Implications of Healthcare Data Breaches through Computational Technique

Cloud computing has been massively adopted in healthcare, where it attracts economic, operational, and functional advantages beneficial to insurance providers. However, according to Identity Theft Resource Centre, over twenty-five percent of data breaches in the US targeted healthcare. The HIPAA Journal reported an increase in healthcare data breaches in the US in 2016, exposing over 16 million health records. The growing incidents of cyberattacks in healthcare are compelling insurance providers to implement mitigating controls. Addressing data security and privacy issues before cloud adoption protects from monetary and reputation losses. This article provides an assessment tool for health insurance providers when adopting cloud vendor solutions. The final deliverable is a proposed framework derived from prominent cloud computing and governance sources, such as the Cloud Security Alliance, Cloud Control Matrix (CSA, CCM) v 3.0.1 and COBIT 5 Cloud Assurance.

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Cyber-analytics: Modeling factors associated with healthcare data breaches

Decision Support Systems ◽

10.1016/j.dss.2018.02.007 ◽

2018 ◽

Vol 108 ◽

pp. 57-68 ◽

Cited By ~ 21

Author(s):

Alexander McLeod ◽

Diane Dolezel

Keyword(s):

Factors Associated ◽

Data Breaches ◽

Healthcare Data

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Human and Organizational Factors of Healthcare Data Breaches

International Journal of Healthcare Information Systems and Informatics ◽

10.4018/ijhisi.2014010103 ◽

2014 ◽

Vol 9 (1) ◽

pp. 42-60 ◽

Cited By ~ 8

Author(s):

Faouzi Kamoun ◽

Mathew Nicho

Keyword(s):

Data Privacy ◽

Healthcare Providers ◽

Organizational Factors ◽

Healthcare Organizations ◽

Data Breaches ◽

Healthcare Data ◽

Root Cause ◽

Security Controls ◽

Policies And Procedures ◽

Swiss Cheese Model

Over the past few years, concerns related to healthcare data privacy have been mounting since healthcare information has become more digitized, distributed and mobile. However, very little is known about the root cause of data breach incidents; making it difficult for healthcare organizations to establish proper security controls and defenses. Through a systematic review and synthesis of data breaches literature, and using databases of earlier reported healthcare data breaches, the authors re-examine and analyze the causal factors behind healthcare data breaches. The authors then use the Swiss Cheese Model (SCM) to shed light on the technical, organizational and human factors of these breaches. The author's research suggests that incorporating the SCM concepts into the healthcare security policies and procedures can assist healthcare providers in assessing the vulnerabilities and risks associated with the maintenance and transmission of protected health information.

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Healthcare Data Breaches: Implications for Digital Forensic Readiness

Journal of Medical Systems ◽

10.1007/s10916-018-1123-2 ◽

2018 ◽

Vol 43 (1) ◽

Cited By ~ 15

Author(s):

Maxim Chernyshev ◽

Sherali Zeadally ◽

Zubair Baig

Keyword(s):

Data Breaches ◽

Healthcare Data ◽

Digital Forensic

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A Comprehensive Survey on Data Utility and Privacy: Taking Indian Healthcare System as a Potential Case Study

Inventions ◽

10.3390/inventions6030045 ◽

2021 ◽

Vol 6 (3) ◽

pp. 45

Author(s):

Prathamesh Churi ◽

Ambika Pawar ◽

Antonio-José Moreno-Guerrero

Keyword(s):

Healthcare System ◽

Large Population ◽

Healthcare Systems ◽

Healthcare Management ◽

Healthcare Sector ◽

Sensitive Data ◽

Data Breaches ◽

Healthcare Data ◽

Privacy Issues

Background: According to the renowned and Oscar award-winning American actor and film director Marlon Brando, “privacy is not something that I am merely entitled to, it is an absolute prerequisite.” Privacy threats and data breaches occur daily, and countries are mitigating the consequences caused by privacy and data breaches. The Indian healthcare industry is one of the largest and rapidly developing industry. Overall, healthcare management is changing from disease-centric into patient-centric systems. Healthcare data analysis also plays a crucial role in healthcare management, and the privacy of patient records must receive equal attention. Purpose: This paper mainly presents the utility and privacy factors of the Indian healthcare data and discusses the utility aspect and privacy problems concerning Indian healthcare systems. It defines policies that reform Indian healthcare systems. The case study of the NITI Aayog report is presented to explain how reformation occurs in Indian healthcare systems. Findings: It is found that there have been numerous research studies conducted on Indian healthcare data across all dimensions; however, privacy problems in healthcare, specifically in India, are caused by prevalent complacency, culture, politics, budget limitations, large population, and existing infrastructures. This paper reviews the Indian healthcare system and the applications that drive it. Additionally, the paper also maps that how privacy issues are happening in every healthcare sector in India. Originality/Value: To understand these factors and gain insights, understanding Indian healthcare systems first is crucial. To the best of our knowledge, we found no recent papers that thoroughly reviewed the Indian healthcare system and its privacy issues. The paper is original in terms of its overview of the healthcare system and privacy issues. Social Implications: Privacy has been the most ignored part of the Indian healthcare system. With India being a country with a population of 130 billion, much healthcare data are generated every day. The chances of data breaches and other privacy violations on such sensitive data cannot be avoided as they cause severe concerns for individuals. This paper segregates the healthcare system’s advances and lists the privacy that needs to be addressed first.

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