PervasiveHealth is a premier international forum with specific focus on technologies and human factors related to the use of ubiquitous computing in healthcare and for wellbeing. The overall goal of the PervasiveHealth conference is to take a multidisciplinary approach to Pervasive Healthcare Technology research and development. The Pervasive Healthcare Community is addressing a broad scope of research topics and concerns: identify and understand problems from a technological, social, medical, and legal as well as financial perspective (with a particular emphasis on understanding and supporting patient and practitioner needs); design, implementation, and evaluation of supporting hardware and software infrastructures, algorithms, services and applications; and organizational strategies that facilitate integration of Pervasive Healthcare Technology into the healthcare enterprise.
Traditional healthcare environments are extremely complex and challenging to manage, as they are required to cope with an assortment of patient conditions under various circumstances with a number of resource constraints. Pervasive healthcare technologies seek to respond to a variety of these pressures by successfully integrating them within existing healthcare environments. Technologies, standards and procedures on their own provide little and or no meaningful service. It is essential that pervasive healthcare environments, through a combined approach of data collection, data correlation and data presentation, assist healthcare professionals in delivering high levels of patient care, and empower individuals and their families for self-care and health management.
PervasiveHealth aims to gather technology experts, practitioners, industry and international authorities contributing towards the assessment, development and deployment of pervasive medical based technologies, standards and procedures.
We welcome contributions from the following fields:
- Sensing/Actuating Technologies and Pervasive Computing
- Medicine, Nursing, and Allied Health Professions
- Human-Computer Interaction (HCI) and Computer Supported Cooperative Work (CSCW)
- Hardware and Software Infrastructures
We seek novel, innovative, and exciting work in areas including but not limited to:
- Identifying and addressing stakeholder needs
- Usability and acceptability
- Barriers and enablers to adoption
- Social implications of pervasive health technology, and social inclusion
- Coverage and delivery of pervasive healthcare services
- Patient and caregiver empowerment
- Diversity: population and condition-specific requirements
- Inclusive research and design: engaging underrepresented populations
- Digital interventions and health behavior change
- Autonomous systems to support independent living
- Clinical applications, validation and evaluation studies
- Telemedicine and mHealth solutions
- Chronic disease and health risk management applications
- Health/Wellbeing promotion and disease prevention
- Home based health and wellness measurement and monitoring
- Continuous vs event-driven monitoring of patients
- Smart homes and hospitals
- Using mobile devices in the storage, update, and transmission of patient data
- Wellbeing and lifestyle support
- Systems to support individuals with auditory, cognitive, or vision impairments
- Systems to support caregivers
Knowledge Representation and Reasoning
- Physiological models for interpreting medical sensor data
- Activity recognition and fall detection
- User modelling and personalization
- Modelling of Pervasive Healthcare environments
- Sensor-based decision support systems
- Design and evaluation of patient and ambient-related sensors
- Wearable and implantable sensor integration
- Data fusion in pervasive healthcare environments
- Data mining of medical patient records
- Software architectures
- Electronic Health Records
Pervasive Healthcare Management
- Challenges surrounding data quality
- Standards and interoperability in pervasive healthcare
- Business cases and cost issues
- Security and privacy issues
- Training of healthcare professional for pervasive healthcare
- Legal and regulatory issues
- Staffing and resource management
Full papers up to 7500 words or 10 pages
Full papers are submissions describing results and original research work not submitted or published elsewhere in one of the four main categories listed above. Full papers should place the work within the field, cite related work, and clearly indicate the innovative aspects of the work and its contribution to the field. The limit for full papers is up to 7500 words or 10 pages, whichever is greater (inclusive of the abstract, main text, and any tables consisting mostly of text; not inclusive of references) .
We intended to match accepted papers to the best presentation format for the work, to the extent that the constraints of the program allow.
At submission time, we will ask which of the following presentation types you would consider:
- Oral presentation (~12-20 minutes)
- Short oral presentation (~4-7 minutes) plus poster
Reviewers will also be asked to recommend the best presentation format for each submission. If you are inflexible about presentation type, constraints of the program may require that we decline an otherwise suitable submission. Submissions will be considered for all presentation that authors deem they would consider.
We have applied to ACM for inclusion into the ACM International Conference Proceedings program (ICPS). If PervasiveHealth 2020 is accepted into the ACM program, all accepted and presented papers will be published in ICPS and made available through ACM Digital Library.
Past volumes of PervasiveHealth proceedings are indexed in leading indexing services, including Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).
All accepted authors are eligible to submit an extended version in a fast track of EAI Scopus indexed journal:
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Pervasive Health uses double-anonymous review. Authors should remove information about the authors from submissions and file metadata, and they should also remove the acknowledgements section from submissions. Authors should not remove references for review; please instead cite them in third person. E.g., rather than write “In our previous research , we demonstrated…”, write “Previous research  demonstrates…”.