Digital Health: Active and Healthy Living [CFP / call for papers]

Abstracts due: 1 March 2019 (co-1119@computer.org)

Full paper due: 1 April 2019

Publication date: 1 November 2019

Computer plans a November 2019 special issue on Digital Health: Active and Healthy Living.

Digital health entails the use of computing and other technologies for radical improvements in the pathways of disease discovery, learning health sciences, diagnosis, monitoring and managing long-term conditions and chronic diseases, and, ultimately, care delivery including emergency care and timely interventions. Digital health promises to transform the traditional care delivery model by increasing its scalability, reducing unit and total cost of care, and, most importantly, improving the quality of care through use of real-time health and behavior data, enabling just-in-time “navigational cues” and interventions, as well as a continuum-of-care—models of superior quality when compared to the sporadic and reactive point-of-care system we employ today. Ultimately, digital health holds the promise for improving health outcomes and people’s quality of life.

This special issue will provide an update on the key developments and latest advances in digital health research and technology, emphasizing proactive and preventive health strategies and emerging models of care that are highly engaging for individuals and their communities.

The guest editors seek novel and original articles covering emerging issues in digital health, including (but not limited to):

  • Co-designing active and healthy living
  • Co-designing independent living and active and healthy aging
  • Health navigation: empowerment, engagement and life-style guidance
  • Preventive digital health fighting drug abuse (including food), obesity, stress, anxiety, self-harm, and social Isolation
  • Generic and disease-specific Informatic Health Platforms
  • Generic and disease-specific Cybernetic Health Platforms
  • Digital Health Data: Personal Chronicles (Personicles), population digital health, privacy and other personal health data rights
  • Healthy places: smart homes and healthy new town concepts
  • Models of care delivery utilizing digital health
  • The social and cultural appropriateness of digital health solutions
  • Ethical frameworks for developing digital health solutions, products and services


Only submissions that describe previously unpublished, original, state-of-the-art research and that are not currently under review by a conference or journal will be considered.


There is a strict 6,000-word limit (figures and tables are equivalent to 300 words each) for final manuscripts. Citations should be limited to no more than 20. Authors should be aware that Computer cannot accept or process papers that exceed this word limit.


Articles should be understandable by a broad audience of computer science and engineering professionals, avoiding a focus on theory, mathematics, jargon, and abstract concepts.


All manuscripts are subject to peer review on both technical merit and relevance to Computer’s readership. Accepted papers will be professionally edited for content and style. For accepted papers, authors will be required to provide electronic files for each figure according to the following guidelines: for graphs and charts, authors must submit them in their original editable source format (PDF, Visio, Excel, Word, PowerPoint, etc.); for screenshots or photographs, authors must submit high-resolution files (300 dpi or higher at the largest possible dimensions) in JPEG or TIFF formats.


Please direct any correspondence before submission to the guest editors:

  • Sumi Helal, Chair in Digital Health, Lancaster University, s.helal@lancaster.ac.uk
  • Ramesh Jain, Director, Institute for Future Health, University of California, Irvine, jain@ics.uci.edu


For author guidelines and information on how to submit a manuscript electronically, visit https://www.computer.org/portal/web/peer-review/magazines. For full paper submission, please visit https://mc.manuscriptcentral.com/com-cs.