Evidence map›Paper›PMID 42086195›Full record

SynthesisApplied clinical informatics2026

Cybersecurity in Healthcare: A Systematic Review and Narrative Analysis.

Clemens S Kruse, Diane Dolezel, Ramalingam Shanmugam

Abstract readSystematic Review
In one paragraph

Synthesis in Applied clinical 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

3 authors.

Clemens S KruseCollege of Health Sciences, The University of Texas at El Paso, United States.ORCID 0000-0002-7636-1086
Diane DolezelTexas State University, Department of Health Informatics and Information Management, United States.
Ramalingam ShanmugamSchool of Health Administration, Texas State university, San Marcos, Texas, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cybersecurity attacks in healthcare have increased in number and severity over the last decade. Healthcare targets are ten times more valuable than financial targets because of the potential for fraudulent medical claims. Medical providers and administrators must ensure their IT professionals constantly scan the internal and external environment for techniques to prevent, detect, respond to, and report cyberattacks. This review provides a scan of the literature. Objective: This study aimed to review the literature for over 10 years for techniques for prevention, detection, response, and reporting of cyberattacks. An extended objective was to collect the effect on patient care that has been documented from cyberattacks. Methods: Following a published protocol and reporting standard, this systematic literature review queried four research databases for published works that described cybersecurity in healthcare. Grey literature was included. Results: Twenty-two articles provided 139 observations and 13 themes that described current techniques to secure the healthcare infrastructure. These articles stressed the importance of a trained workforce and a cyber-aware culture. Conclusion: IT professionals must adopt techniques that form proper organizational cyber resiliency and augment security through monitoring tools, standard IT maintenance and practice, encryption and data loss prevention, risk-based management, Artificial Intelligence, Explainable AI, active AI, network segmentation, governance and leadership, disabling legacy protocols and systems that cannot be updated, postevent analysis, and big data.

Indexed as

Computer SecurityDelivery of Health CareHumans

Identifiers

PMID42086195
PMCPMC13287950

What OpenQuestion holds

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LicenceCC BY
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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.