Evidence map›Paper›PMID 32414183›Full record

ReviewHealthcare (Basel, Switzerland)2020

Healthcare Data Breaches: Insights and Implications.

Adil Hussain Seh, Mohammad Zarour, Mamdouh Alenezi, Amal Krishna Sarkar, Alka Agrawal, Rajeev Kumar, Raees Ahmad Khan

Abstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
122citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

122 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Data Privacy in Medical Informatics and Electronic Health Records: A Bibliometric Analysis.Health care analysis : HCA : journal of health philosophy and policy · 2026
    Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Cybersecurity in Healthcare: Ensuring Patient Safety and Data Privacy.Journal of multidisciplinary healthcare · 2026
    Article
  18. Ethical Perspectives in Renal Genetic Testing and Counseling.Advances in kidney disease and health · 2026
    Review
  19. Review
  20. Article

62 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Adil Hussain SehDepartment of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow 226025, India.
Mohammad ZarourCollege of Computer & Information Sciences, Prince Sultan University, Riyadh 12435, Saudi Arabia.
Mamdouh AleneziCollege of Computer & Information Sciences, Prince Sultan University, Riyadh 12435, Saudi Arabia.
Amal Krishna SarkarDepartment of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow 226025, India.
Alka AgrawalDepartment of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow 226025, India.
Rajeev KumarDepartment of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow 226025, India.
Raees Ahmad KhanDepartment of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow 226025, India.

Funding

Prince Sultan University 0000xxxxx0000000
6 · The paper itself

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.

Indexed as

cost effectivenesscost forecastingdata analysisdata breach forecastingdata confidentialitydata securityhealthcare data breachestime series analysis

Identifiers

PMID32414183
PMCPMC7349636

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.