SmartMedDev 2016 : Special Session on Smart Medical Devices - From Lab to Clinical Practice - SmartMedDev 2016
Call For Papers
The goal of this special session is to discuss the problems hindering the widespread adoption of smart medical devices - software based, wireless, implantable and wearable. Many brilliant ideas remain at the level of the proof of concept and never reach the market or the clinical practice.
We focus on high-safety health monitoring and life saving devices. We are especially interested in sets of heterogeneous devices aggregated around a common communication platform (smartphone), based on open standards. In our opinion, aside of technical problems, the adoption of such systems is restrained by organizational issues, like incorporating in therapies applied by hospitals and reimbursed by insurances. This may need a formal approval and calls for a well-organized quality monitoring.
Due to the interdisciplinary nature of the problems, we would like to gather a balanced group of device developers, system integrators and clinical practitioners and provide them a convenient forum for discussion and exchange.
We encourage authors to submit papers to one of the main topics indicated below, or to open new perspectives and present novel points of view on this highly dynamic and important research and application field. Lessons learned from actual implementations of devices and systems, prospective frameworks, future visions and position papers are equally invited.
Topics of interest include, but are not limited to:
• Engineering smart sensors / actuators into usable devices
• Integrating smart devices into patient health systems
• Emerging commercial integration platforms
• Integrating patient systems with hospital infrastructure
• mHealth initiatives
• Emerging mHealth data broker platforms
• Interoperability on all levels
• Coping with heterogeneity
• Coping with variability
• Low power cryptography
• Patient in the loop
• Integrated medical systems as Cyber Physical Systems
• Regulatory and legal issues
• Continuous quality assessment
• Challenges for statistical analysis
• Managing data
• Security and privacy
• Blending mentalities and skills