Literature DB >> 32414183

Healthcare Data Breaches: Insights and Implications.

Adil Hussain Seh1, Mohammad Zarour2, Mamdouh Alenezi2, Amal Krishna Sarkar1,3, Alka Agrawal1, Rajeev Kumar1, Raees Ahmad Khan1.   

Abstract

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.

Entities:  

Keywords:  cost effectiveness; cost forecasting; data analysis; data breach forecasting; data confidentiality; data security; healthcare data breaches; time series analysis

Year:  2020        PMID: 32414183     DOI: 10.3390/healthcare8020133

Source DB:  PubMed          Journal:  Healthcare (Basel)        ISSN: 2227-9032


  10 in total

Review 1.  Digital health technology-specific risks for medical malpractice liability.

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Review 2.  Applications of artificial intelligence to improve patient flow on mental health inpatient units - Narrative literature review.

Authors:  Paulina Cecula; Jiakun Yu; Fatema Mustansir Dawoodbhoy; Jack Delaney; Joseph Tan; Iain Peacock; Benita Cox
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Review 3.  Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review.

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4.  Assessing Health Data Security Risks in Global Health Partnerships: Development of a Conceptual Framework.

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5.  Building from Patient Experiences to Deliver Patient-Focused Healthcare Systems in Collaboration with Patients: A Call to Action.

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Journal:  Ther Innov Regul Sci       Date:  2022-07-19       Impact factor: 1.337

Review 6.  Enabling Blockchain Services for IoE with Zk-Rollups.

Authors:  Thomas Lavaur; Jérôme Lacan; Caroline P C Chanel
Journal:  Sensors (Basel)       Date:  2022-08-29       Impact factor: 3.847

7.  Predicting demographics from meibography using deep learning.

Authors:  Jiayun Wang; Andrew D Graham; Stella X Yu; Meng C Lin
Journal:  Sci Rep       Date:  2022-09-20       Impact factor: 4.996

8.  Data Privacy Concerns Using mHealth Apps and Smart Speakers: Comparative Interview Study Among Mature Adults.

Authors:  Tanja Schroeder; Maximilian Haug; Heiko Gewald
Journal:  JMIR Form Res       Date:  2022-06-13

Review 9.  Privacy-by-Design Environments for Large-Scale Health Research and Federated Learning from Data.

Authors:  Peng Zhang; Maged N Kamel Boulos
Journal:  Int J Environ Res Public Health       Date:  2022-09-20       Impact factor: 4.614

Review 10.  Promise and Perils of Telehealth in the Current Era.

Authors:  Dhruv Mahtta; Marilyne Daher; Michelle T Lee; Saleem Sayani; Mehdi Shishehbor; Salim S Virani
Journal:  Curr Cardiol Rep       Date:  2021-07-16       Impact factor: 2.931

  10 in total

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