Evidence map›Paper›PMID 40979617›Full record

Article... Integrated STEM Education Conference. Integrated STEM Education Conference2025

Security Driven Product Design for Open-Source Medical Syringe Infusion Pumps.

Wei Lu, Elvin Colon, James Fitzpatrick, Lisa Hix, Curtis Mead

Abstract read
In one paragraph

Article in ... Integrated STEM Education Conference. Integrated STEM Education Conference, 2025. 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

5 authors.

Wei LuDepartment of Computer Science, Keene State College, The University System of New Hampshire, Keene, NH USA.
Elvin ColonDepartment of Sustainable Product Design and Innovation, Keene State College, The University System of New Hampshire, Keene, NH USA.
James FitzpatrickDepartment of Sustainable Product Design and Innovation, Keene State College, The University System of New Hampshire, Keene, NH USA.
Lisa HixDepartment of Sustainable Product Design and Innovation, Keene State College, The University System of New Hampshire, Keene, NH USA.
Curtis MeadDepartment of Sustainable Product Design and Innovation, Keene State College, The University System of New Hampshire, Keene, NH USA.

Funding

An Explainable Artificial Intelligence Based Hybrid Intrusion Detection System for Enhancing Healthcare SecurityR15EB036778 · NIBIB · KEENE STATE COLLEGE · PI LU, WEI · 2024 to 2024
$357k
NIBIB NIH HHS R15 EB036778
6 · The paper itself

Abstract

Open-source medical devices, including syringe infusion pumps, have gained popularity due to their cost-effectiveness and adaptability. However, integrating open-source components, such as their open-source software controlling system, raises significant cybersecurity concerns. This paper investigates cybersecurity vulnerability targeting an open-source medical syringe pump. We present a DDoS attack that alters the pump's operation, potentially leading to over-infusion or under-infusion of medication. We then assess the implications of these security flaws on patient safety and device reliability. Based on this assessment, we propose mitigation strategies that involve hardware modifications to enhance the device's resistance to such attacks and change designs for the 3D printing hardware pieces for open electronics. This research highlights the urgent need for security-driven product design, where security considerations guide the healthcare product's design choices and implementation.

Indexed as

Buffer overflowInternet of medical thingsIntrusion detectionMachine learningOpen-source medical devices

Identifiers

PMID40979617
PMCPMC12449792

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.