OpenICE: An open, interoperable platform for medical cyber-physical systems

Plourde, Jeffrey; Arney, David; Goldman, Julian M.

doi:10.1109/iccps.2014.6843734

Cited by 32 publications

(12 citation statements)

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“…The platform consists of software device adapters for medical devices (including anesthesia machines, ventilators, and patient monitors), OMG DDS standard middleware, and demonstration applications. For this work, a subset of the ISO/IEEE 11073-10101 was used [37].…”

Section: E Mdpnp Program (Since 2004)mentioning

confidence: 99%

A framework for automatic testing of medical device compatibility

Dingler

Dietz

Pfeiffer

et al. 2015

2015 13th International Conference on Telecommunications (ConTEL)

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A vast amount of international research projects has recently been dealing with the development of an open communication standard to enhance medical device interoperability. Most approaches target a service oriented architecture based on Ethernet bus systems. Medical devices are connected to the bus and provide or consume data and applications via so-called services. For automatic discovery of device services within the network, devices possess selfdescriptions (profiles) that specify the services offered by the device. These profiles are based on the international standard ISO/IEEE 11073. This article proposes a method to automatically document and test the compatibility of data in medical device networks based on their profiles. Using the new method, the time it takes to test compatibility can be significantly reduced.

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Section: E Mdpnp Program (Since 2004)mentioning

confidence: 99%

A framework for automatic testing of medical device compatibility

Dingler

Dietz

Pfeiffer

et al. 2015

2015 13th International Conference on Telecommunications (ConTEL)

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“…[4][5][6] Lack of data access has hindered the study of MV and pathologic patient-ventilator interactions (PVIs), and previous studies of PVIs may have been limited, in part, to small sample sizes and isolated periods of data collection resulting from the lack of passive, unobtrusive, scalable, and easy-to-use informatics infrastructure. 2,[7][8][9][10][11][12][13] Improved informatics infrastructure would enhance the study of PVI and serve as a generalizable model for the development of systems to capture and store data streams from other critical care patient monitoring devices. Passive data-collection mechanisms would be particularly useful, given that they would allow researchers to enroll patients in a study, set up data collection, and then allow the collection mechanism to continue operating autonomously until data collection ends.…”

Section: Introductionmentioning

confidence: 99%

Development of a research-oriented system for collecting mechanical ventilator waveform data

Rehm

Kühn

Delplanque

et al. 2017

Journal of the American Medical Informatics Association

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Lack of access to high-frequency, high-volume patient-derived data, such as mechanical ventilator waveform data, has limited the secondary use of these data for research, quality improvement, and decision support. Existing methods for collecting these data are obtrusive, require high levels of technical expertise, and are often cost-prohibitive, limiting their use and scalability for research applications. We describe here the development of an unobtrusive, open-source, scalable, and user-friendly architecture for collecting, transmitting, and storing mechanical ventilator waveform data that is generalizable to other patient care devices. The system implements a software framework that automates and enforces end-to-end data collection and transmission. A web-based data management application facilitates nontechnical end users' abilities to manage data acquisition devices, mitigates data loss and misattribution, and automates data storage. Using this integrated system, we have been able to collect ventilator waveform data from >450 patients as part of an ongoing clinical study.

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“…More recently, [9] described how a medical application platform would facilitate the safe integration of applications and medical devices drawn from an ecopshere of interoperable componets. OpenICE [18] and the MDCF [16] are both prototype medical application platforms and have been used to inform both academic and industry research on plug & play medical systems.…”

Section: Related Workmentioning

confidence: 99%

“…Specific medical systems would then be assembled from devices on-hand to address a particular clinical need. While practical use of such systems is still in the future, there are emerging interoperability standards [19] and prototype implementations that aim to support this vision [16,18]. In this paper, we study the problem of constructing safety assurance arguments for plug & play medical systems intended to provide life-critical therapy (i.e., where failure of the system could result in death or serious injury -see the example in Section 2).…”

Section: Introductionmentioning

confidence: 99%

Towards Assurance for Plug & Play Medical Systems

King

Procter

et al. 2015

Lecture Notes in Computer Science

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Traditional safety-critical systems are designed and integrated by a systems integrator. The system integrator can asses the safety of the completed system before it is deployed. In medicine, there is a desire to transition from the traditional approach to a new model wherein a user can combine various devices post-hoc to create a new composite system that addresses a specific clinical scenario. Ensuring the safety of these systems is challenging: Safety is a property of systems that arises from the interaction of system components and it's not possible to asses overall system safety by assessing a single component in isolation. It is unlikely that end-users will have the engineering expertise or resources to perform safety assessments each time they create a new composite system. In this paper we describe a platform-oriented approach to providing assurance for plug & play medical systems as well as an associated assurance argument pattern. Abstract. Traditional safety-critical systems are designed and integrated by a systems integrator. The system integrator can asses the safety of the completed system before it is deployed. In medicine, there is a desire to transition from the traditional approach to a new model wherein a user can combine various devices post-hoc to create a new composite system that addresses a specific clinical scenario. Ensuring the safety of these systems is challenging: Safety is a property of systems that arises from the interaction of system components and it's not possible to asses overall system safety by assessing a single component in isolation. It is unlikely that end-users will have the engineering expertise or resources to perform safety assessments each time they create a new composite system. In this paper we describe a platform-oriented approach to providing assurance for plug & play medical systems as well as an associated assurance argument pattern.

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OpenICE: An open, interoperable platform for medical cyber-physical systems

Cited by 32 publications

References 0 publications

A framework for automatic testing of medical device compatibility

A framework for automatic testing of medical device compatibility

Development of a research-oriented system for collecting mechanical ventilator waveform data

Towards Assurance for Plug & Play Medical Systems

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