Today, computer sciences and technologies play an important role in promoting healthcare services around the world. Employing robots in surgeries, machine learning and artificial intelligence techniques in medical diagnosis, pervasive computing systems for any time, anywhere and high-quality medical care, and distributed systems (such as clouds) for processing huge volume of medical data are just a few examples of computer use in healthcare.

The 1st Conference on HEalthcare computing Systems and Technologies (CHEST-2019) aims to bring together the collaboration between research groups in the area of computer science and medical healthcare. CHEST-2019 invites authors from both research areas to submit high-quality papers containing original work. The paper could present a new and practical application of computer techniques, methods, devices, and architectures for improving the quality of healthcare and reducing clinical risks.

Conference Topics:

+ Data processing /communication/storage systems and Healthcare:

- In/on/around – body sensors and actuators
- Integration of medical devices with e-health
- Communication/Network infrastructures, architectures, and protocols for e-health
- Delay tolerant, fault tolerant and reliable communication in hospital networking, body area networking, and cloud-integrated networking
- Using mobile devices in the storage, update, and transmission of patient data
- Security issues
- Pervasive healthcare systems
- Healthcare big data and parallel/distributed systems

+ Artificial intelligence and Healthcare:

- Data mining and medical patient records
- User modeling and personalization
- Computer-aided detection, hypothesis generation, and diagnosis
- Sensor-based decision support systems
- Smart homes and hospitals
- Smart healthcare and big data
- Continues and event-driven monitoring of patients
- Activity recognition and fall detection
- Staffing and resource management
- Robotics

+ Healthcare software and tools:

- Software applications for mobile medical systems
- Modeling and simulation
- Computer assisted learning in medical education
- Emerging cloud-based services/applications including health clouds/grids
- 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
- Telemedicine
- Aging/disability problems and intelligent care