IEEE ComSoc has chosen Bogotá as the venue for the 2019 IEEE International Conference on E-health Networking, Application & Services – Healthcom. Bogotá is the capital of Colombia and one of the most dynamic cities in Latin America. Is a Cosmopolitan city of 8 million inhabitants that has positioned itself as one of the main business centers of Latin America. Is part of the Best Cities Global Alliance and has the main airport in South America, according to Skytrax.

Submit your paper by May 24

Potential paper topics include, but are not limited to:

Medical, Biomedical, and Health Informatics:

  • Electronic medical records (EMR) and electronic prescription
  • HL-7
  • Interoperability for personal Health systems
  • Data preprocessing, cleansing, management and mining
  • Data quality assessment and improvement
  • Medical imaging
  • Computer-aided detection, hypothesis generation and diagnosis
  • Evidence-based medicine
  • Evolutionary and longitudinal patient and disease models
  • Clinical workflow
  • Medication adherence and health monitoring
  • Smart health and big data
  • Deep IoT analysis
  • M2M
  • Methods for inputting, transmitting and processing data for e-health
  • Multimedia e-health data exchange services

E-Health Solutions to Challenging Problems:

  • Vector Borne Diseases (Dengue, Malaria, Leaishmaniasis)
  • Neglected Diseases
  • Telemedicine for rural area
  • Aging problems and intelligent care
  • Bioinformatics and precision medicine
  • Smart agriculture for human health

System Research:

  • Standardization
  • Requirements Engineering
  • Social technological alignment
  • E-Health and m-health governance
  • Quality of care
  • Business modeling
  • Supply chain management
  • Anti-counterfeiting
  • Smart Pharmaceuticals
  • Global e-health strategies
  • Tagging and tracking
  • Work flow
  • Patient flow

High Performance Computing:

  • Wearable sensors for patients monitoring
  • Virtual rehabilitation (stroke, Parkinson disease, Alzheimer disease, multiple sclerosis)
  • Telemedicine for aging
  • Gait analysis (arm swing, balance, posture control)
  • Eye-tracking
  • Falls (detection, tracking)
  • m-Health
  • Neuromodulation

Services and Applications:

  • e-Health services/applications for physical and mental health; for example, in acute care, chronic care, mental health care, biomedical engineering, rehabilitation, prosthetics, elderly/nursing care, smart homes and hospitals, and rural/wilderness practice.
  • e-Health services/applications for sports and exercise; for example, in training prescription and feedback, concussion detection/monitoring, life-logging and fitness monitoring.
  • e-Health services/applications for public health; for example, disease prevention, pandemic preparedness, epidemiological interventions and smart cities.
  • e-Health services/applications for extreme environments; for example, in firefighting, disaster response, evacuation assistance, medical triage, space travel/exploration, deep diving and deepsea exploration
  • m-Health applications and software
  • Quality of experience (QoE) with e-Health services/applications.
  • Security, privacy and trust for e-Health services/applications
  • Emerging cloud-based services/applications including health clouds/grids
  • Usability of e-Health systems and devices

Communications and Networking:

  •  Converged networks and applications
  • Network and services virtualization
  • Quality of Service (QoS) and Quality of Experience (QoE)
  • Software Defined Networking (SDN) and network management
  • Delay-tolerant, fault-tolerant and reliable communication
  • Cognitive communication for medical bands
  • In-hospital networking, body area networking and cloud-integrated networking
  • Network Function Virtualization
  • Nanoscale/molecular communications
  • Network coding and error detection/correction
  • Resilience and robustness
  • Security

Big Data For Health Systems:

  • Big data models, theories, algorithms, approaches, solutions
  • Machine learning, data mining, web mining, and graph mining
  • Deep Learning for Health


Important Dates

Paper Submission: 24 May 2019
Acceptance Notification: 7 July 2019
Camera-ready and author registration: 9 August 2019