Evidence map›Paper›PMID 40358336›Full record

ReviewAnesthesiology2025

Digital Disasters: The Growing Threat of Healthcare Ransomware.

Jeffrey L Tully, Rodney A Gabriel, Ruth S Waterman, Christian J Dameff

Abstract readReview
In one paragraph

Review in Anesthesiology, 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. Article
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

4 authors.

Jeffrey L TullyCenter for Healthcare Cybersecurity, and Division of Perioperative Informatics, Department of Anesthesiology, University of California San Diego, La Jolla, California.
Rodney A GabrielDivision of Perioperative Informatics, Department of Anesthesiology, Center for Healthcare Cybersecurity, and Department of Biomedical Informatics, University of California San Diego, La Jolla, California.
Ruth S WatermanDivision of Perioperative Informatics, Department of Anesthesiology, and Center for Healthcare Cybersecurity, University of California San Diego, La Jolla, California.
Christian J DameffCenter for Healthcare Cybersecurity, Department of Emergency Medicine, and Department of Computer Science and Engineering, University of California San Diego, La Jolla, California.

Funding

San Diego Biomedical Informatics Education & Research (SABER)T15LM011271 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHAMIM NEMATI · 2012 to 2026
$9.7M
NLM NIH HHS T15 LM011271
6 · The paper itself

Abstract

Healthcare cybersecurity incidents are increasing in frequency and severity. Ransomware, a type of malicious software that results in the encryption of data and systems for financial extortion, often renders computers and networks inaccessible for prolonged periods of time. Clinical workflows, which depend on connected technology such as electronic health records, laboratory systems, and imaging platforms, may be delayed or disrupted in the setting of a ransomware attack. These attacks may adversely affect the care of patients with time-sensitive conditions. The financial impacts to healthcare delivery organizations can be substantial and may be associated with delayed provider payments, regulatory fines, and class action liability. Higher-quality research that characterizes patient outcomes and the development of ransomware-specific emergency response plans are needed to increase cybersecurity resiliency of healthcare systems. Possessing relevant acute care clinical skills and operational expertise, anesthesiologists are well positioned to lead patient safety efforts in this domain.

Indexed as

Computer SecurityDelivery of Health CareSoftwareElectronic Health RecordsHumans

Identifiers

PMID40358336
PMCPMC13178806

What OpenQuestion holds

Textmetadata
LicenceTDM
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.