Currently submitted to: JMIR Medical Informatics
Date Submitted: Jan 21, 2026
Open Peer Review Period: Jan 28, 2026 - Mar 25, 2026
(currently open for review)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Medical Device Integration: A Practitioner Framework for Failure Mode Analysis
ABSTRACT
Background:
Modern Hospitals require stable connections between medical devices and EHR Systems. Devices Including Fetal Monitors, Anesthesia Machines, and infusion pumps must reliably transmit patient data. Technical failures force clinicians to document manually and lose real-time data access. Researchers attribute 22.5% of EHR safety events to health IT failures, often from interface errors.
Objective:
This viewpoint presents an engineering framework for analyzing medical device integration failures, identifying recurring failure patterns, architectural vulnerabilities, and operational triggers that interrupt data flow.
Methods:
This analysis combines first-hand operational experience with literature review to identify common failure models in fetal monitoring, anesthesia integration, infusion pump connectivity, and cardiac device data transfer.
Results:
The framework identifies five architectural layers vulnerable to failure: medical device, data aggregation, interface/translation, EHR integration, and clinical presentation layers. Recurring patterns include system outages, application errors, and degraded performance. Many failures self-resolve, suggesting underlying instability.
Conclusions:
Legacy System dependencies, poor monitoring, and gaps between design and actual workflow drive integration failures. Organization should monitor device feeds, establish alternate data paths, and follow clear downtime procedures. Clinical Trial: N/A
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.