The ACM UbiComp International Workshop on Smart Health Systems and Applications is a forum for researchers and developers from academia and industry in the area of smart health to present results and discuss ways to advance the field. The workshop will focus on wireless, connected, and mobile health research as a multidisciplinary area spanning computer science and engineering, electrical engineering, biomedical engineering, nursing, medicine, and public health. The workshop will include presentations of theoretical and experimental research, prototyping efforts, case studies and advances in technology related to smart health systems, applications, and services. In addition to traditional topics in this area, the workshop features a special focus on scalable smart health. This topic area aims to discuss and present innovations that address challenges associated with large–scale adoption of smart health technologies in end–user settings and uncontrolled environments.<br>Smart health inherently integrates ideas, tools, and expertise from a variety of disciplines. We would like to facilitate discussions between researchers with diverse perspectives in order to more greatly enhance future work in the area. We seek papers presenting significant and novel research results on emerging smart health systems. We especially encourage submissions that present novel device design, system development, algorithm design, experimentation, field studies, and creative use of technologies in addressing healthcare challenges. We invite submissions on a wide range of smart health research including but not limited to:<br>DEVICES, SYSTEMS & INFRASTRUCTURES FOR SMART HEALTH<br>* Medical device prototypes for diagnosis/prevention<br>* Wearable and implantable sensors<br>* Disposable and cost–effective electronics<br>* Systems for health promotion and disease prevention<br>* Body sensor networks<br>* Smart environments for health<br>* Remote patient monitoring<br>* Mobile health technologies<br>* Data management<br>* Interface with health information systems such as electronic health records<br>ALGORITHMS & SOFTWARE FOR SMART HEALTH<br>* Signal processing and pattern recognition<br>* Machine learning and clinical decision support<br>* Health informatics<br>* Algorithms for security and safety<br>* Communication protocols and algorithms<br>* Context–Aware Sensing<br>* Algorithms for anomaly detection<br>* Human–computer interaction<br>SCALABLE SMART HEALTH<br>* Reliability, security, and data uncertainty challenges<br>* Data collection in the wild<br>* Collecting ground truth data in unstructured environments<br>* Approaches for deployment and validation of smart health systems in the wild<br>* Models for benchmarking and validation<br>* Patient–centered design approaches<br>* Interoperability of smart health technologies and existing medical data systems<br>* Techniques to enhance compliance<br>* Models to assess impact of the technology on healthcare cost<br>* Novel applications of smart health in chronic diseases management<br>* Clinical studies and field validation techniques<br>* Novel experimental testbeds<br>* Algorithms and frameworks for seamless sensing<br>
Abbrevation
SmartHealthSys
City
SeattleWA
Country
United States
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