Design of an x-ray / ventilator synchronization system in an integrated clinical environment

Arney, David; Bhatia, Kunal; Bhatia, Sanchit; Sutton, Michael; Rausch, Tracy; Karlinsky, Joel B.; Goldman, Julian M.

doi:10.1109/iembs.2011.6092023

Cited by 4 publications

(5 citation statements)

References 6 publications

(7 reference statements)

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“…S5 ) allowing connection out of site on the back of each ventilator, and enables continuous wireless data acquisition and transmission over the enterprise network on multiple ventilators throughout the health system without need for human intervention after initial connection. At least one other group has developed a similar solution to data acquisition from patient monitoring devices using inexpensive open source computing resources 38 . These low-cost, open-source platforms demonstrate proof of concept that multidisciplinary research teams can overcome the technical and financial barriers to accessing patient-derived physiologic monitoring data for clinical and translational research in critical care, thereby democratizing a path to previously difficult to access data types.…”

Section: Discussionmentioning

confidence: 99%

Development and Validation of a Multi-Algorithm Analytic Platform to Detect Off-Target Mechanical Ventilation

Adams

Lieng

Kühn

et al. 2017

Sci Rep

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Healthcare-specific analytic software is needed to process the large volumes of streaming physiologic waveform data increasingly available from life support devices such as mechanical ventilators. Detection of clinically relevant events from these data streams will advance understanding of critical illness, enable real-time clinical decision support, and improve both clinical outcomes and patient experience. We used mechanical ventilation waveform data (VWD) as a use case to address broader issues of data access and analysis including discrimination between true events and waveform artifacts. We developed an open source data acquisition platform to acquire VWD, and a modular, multi-algorithm analytic platform (ventMAP) to enable automated detection of off-target ventilation (OTV) delivery in critically-ill patients. We tested the hypothesis that use of artifact correction logic would improve the specificity of clinical event detection without compromising sensitivity. We showed that ventMAP could accurately detect harmful forms of OTV including excessive tidal volumes and common forms of patient-ventilator asynchrony, and that artifact correction significantly improved the specificity of event detection without decreasing sensitivity. Our multi-disciplinary approach has enabled automated analysis of high-volume streaming patient waveform data for clinical and translational research, and will advance the study and management of critically ill patients requiring mechanical ventilation.

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Section: Discussionmentioning

confidence: 99%

Development and Validation of a Multi-Algorithm Analytic Platform to Detect Off-Target Mechanical Ventilation

Adams

Lieng

Kühn

et al. 2017

Sci Rep

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“…ECG, NIBP, SpO 2 ) are sufficiently standardized and accurate and as such that revalidation of the clinical performance is not needed. This is an example of where the contract is implicit [21] .…”

Section: Discussionmentioning

confidence: 99%

“…Manually disabling ventilation for an X-ray procedure followed by unanticipated equipment problems have led to excessive delays in the resumption of patient ventilation with unfortunate outcomes [20] . An interoperable platform-based approach to this failure to ventilate has been prototyped [21] . Although not available commercially, enabling device capabilities have been incorporated in the latest Anesthesia Workstation and Critical Care Ventilator standards.…”

Section: Selected Examples Illustrating the Importance Of A Contract mentioning

confidence: 99%

The Importance of State and Context in Safe Interoperable Medical Systems

Weininger

Jaffe

Robkin³

et al. 2016

IEEE J. Transl. Eng. Health Med.

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This paper describes why “device state” and “patient context” information are necessary components of device models for safe interoperability. This paper includes a discussion of the importance of describing the roles of devices with respect to interactions (including human user workflows involving devices, and device to device communication) within a system, particularly those intended for use at the point-of-care, and how this role information is communicated. In addition, it describes the importance of clinical scenarios in creating device models for interoperable devices.

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“…ICE is becoming a standard solution that supports MD interoperability in order to improve patient safety [19], ICE standards is supported by many organizations CIMIT [6], ASTM [17] and MDPNP [20]. Some works concentrate on the study of specific medical devices and the possibility to improve the interoperability among the use of these medical devices within it infrastructure, Arney et al [21] with the X-Ray/Ventilator, and in [22] with the patient-controlled analgesia (PCA) pumps. OpenICE [23] is the open source implementation of ICE standards that aims to provide a set of tools for developers to create applications related to medical devices connectivity and interoperability.…”

Section: Related Workmentioning

confidence: 99%

A Component Based Framework to Enable Medical Devices Communication

Touahria¹,

Khababa²

2021

ISI

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The interconnection of medical devices is emerging as a new requirement in modern medicine. The final goal of connecting heterogeneous medical devices in a wider network of computational servers is to monitor and improve patient safety, where it also constitutes a major goal in the Integrated Clinical Environment (ICE) framework. The heterogeneity of medical devices provided by different suppliers is a key challenge in ICE-based systems, where interoperability and data communication across devices is still under study and specification. ICE aims to create a standard interface that covers medical devices heterogeneity, hence, achieving interoperability in a safe way. It focuses on defining an interoperable bus between the patient, medical devices, software applications, and the clinician. Given the lack of realization of ICE standard, this paper presents a component-based framework for making ICE usable for medical applications. This work illustrates the component model in detail and validates it with a prototype implementation that focuses on the integration of heterogeneous medical devices as the most relevant requirements faced by ICE.

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Design of an x-ray / ventilator synchronization system in an integrated clinical environment

Cited by 4 publications

References 6 publications

Development and Validation of a Multi-Algorithm Analytic Platform to Detect Off-Target Mechanical Ventilation

Development and Validation of a Multi-Algorithm Analytic Platform to Detect Off-Target Mechanical Ventilation

The Importance of State and Context in Safe Interoperable Medical Systems

A Component Based Framework to Enable Medical Devices Communication

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