Evidence map›Paper›PMID 41376707›Full record

ArticlePNAS nexus2025

Beyond the click: Pixel tracking technologies and patient data security in hospitals.

Hilal Atasoy, Ryan McDonough, Guangyue Maria Zhang

Abstract read
In one paragraph

Article in PNAS nexus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Hilal AtasoyDepartment of Accounting and Information Systems, Rutgers Business School, Rutgers University, New Brunswick, NJ 08854, USA.ORCID https://orcid.org/0000-0003-2710-3619
Ryan McDonoughDepartment of Accounting and Information Systems, Rutgers Business School, Rutgers University, New Brunswick, NJ 08854, USA.ORCID https://orcid.org/0000-0002-7936-3618
Guangyue Maria ZhangDepartment of Accounting and Information Systems, Rutgers Business School, Rutgers University, New Brunswick, NJ 08854, USA.ORCID https://orcid.org/0000-0001-7461-9787

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital tracking technologies have transformed and enhanced online data collection across industries. Their integration into healthcare systems, however, raises urgent concerns about patient privacy and security. This study provides the first large-scale empirical analysis of pixel tracking technologies on US hospital websites and their unintended consequences for data breaches. Using historical website data from the Wayback Machine (2012-2023), we find that 66% of the sample employed pixel tracking, despite stringent privacy regulations. Our results reveal that third-party pixel use significantly increases data breach risk, underscoring a previously undocumented cybersecurity vulnerability. These findings highlight a critical regulatory gap in healthcare privacy, as tracking pixels operate outside the traditional scope of Health Insurance Portability and Accountability Act protections. As hospitals increasingly rely on digital tools, our study calls for reevaluating privacy and data security safeguards and regulatory oversight to address the emerging risks of modern tracking technologies.

Indexed as

data breachesdata privacyHIPAA complianceonline tracking technologiespixel tracking

Identifiers

PMID41376707
PMCPMC12687351

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.