Evidence map›Paper›PMID 42837534›Full record

ArticleJMIR medical informatics2026

Business Associates' Involvement in US Health Care Data Breaches: Longitudinal Analysis.

Martin Ignatovski

Abstract read
In one paragraph

Article in JMIR medical informatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Martin IgnatovskiGraduate School, Capitol Technology University, 11301 Springfield Rd, Laurel, MD, 20708, United States, 1 219 210 2108.ORCID http://orcid.org/0000-0002-8320-3457

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Health care organizations increasingly rely on business associates (BAs) to provide clinical, administrative, and technology services that require access to protected health information. While the Health Information Technology for Economic and Clinical Health (HITECH) Act and the Health Insurance Portability and Accountability Act (HIPAA) Omnibus Rule extended legal liability to BAs, the frequency and characteristics of data breaches involving BAs have not been systematically tracked across the entire post-HITECH reporting era. Understanding these trends is critical for health information managers and cybersecurity professionals who are directly responsible for managing third-party risk. Objective: The author examined the longitudinal trends in BA involvement in health care data breaches reported to the US Department of Health and Human Services (HHS) Office for Civil Rights (OCR) from 2009 to 2025, including changes in frequency, breach mechanisms, breach locations, and severity profiles of BA-involved incidents across 3 regulatory periods. Methods: The author conducted a retrospective longitudinal analysis of health care data breaches (N=6612) reported to the HHS OCR breach portal between October 2009 and December 2025. The author operationalized BA involvement as breaches reported by BA entities or flagged as BA-related. Using logistic regression models, the author estimated annual trends in BA involvement, breach mechanism, and breach location. Chi-square tests assessed associations between BA status and breach characteristics across 3 regulatory periods: pre-Omnibus (2009-2013), post-Omnibus (2014-2019), and 2020-2025. Proportion tests compared BA-involvement rates across periods. Results: BA-involved breaches accounted for 1950 of 6612 (29.5%) incidents and 285,718,494 (48.8%) of all affected individuals. The annual BA-involvement rate increased from 22.1% in the pre-Omnibus period to 36.6% in the 2020-2025 period ( Conclusions: Building on prior evidence linking BA involvement to breach severity, this study demonstrates that BA-involved health care data breaches accelerated substantially across the post-HITECH reporting era, with the steepest increase beginning in 2020. The concurrent growth of hacking and the concentration of breaches on network servers coincided with digital transformation, cloud migration, and the ransomware epidemic, which may have amplified third-party risk exposure. Health information managers and cybersecurity professionals should prioritize BA risk management strategies that account for the evolving threat landscape, including enhanced vendor security assessments and data compartmentalization requirements.

Indexed as

Computer SecurityConfidentialityHealth Insurance Portability and Accountability ActHumansLongitudinal StudiesRetrospective StudiesUnited Statesbusiness associatecomputer securitycybersecuritydata breachdata securityhealth carehealth information managementHealth Insurance Portability and Accountability ActHIPAAprotected health informationthird-party risk

Identifiers

PMID42837534
PMCPMC13641320

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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.