Call for Papers: Data-Driven Health Technology

Guest Editor:

Professor Uffe Kock Wiil
Head of Center, SDU Health Informatics and Technology
University of Southern Denmark

Modern healthcare systems collect enormous amounts of data in electronic health records and other primary and secondary healthcare information systems. In recent years, there has been an increased focus on making better use of the collected data for monitoring, prevention, diagnosis, treatment, prognosis, administration, etc. There is a huge potential for development of novel and ready-to-deploy technical solutions with a high socio-economic impact to the benefit of patients (and their relatives), health professionals, and society at large.

Data-driven health technology is interdisciplinary in nature involving expertise from various fields such as health technology, computational intelligence, and health science.

We invite researchers and practitioners to submit their latest high quality work on data-driven health technology including (but not limited to) the following topics:

  • Intelligent monitoring and decision support
  • Predictive models for prevention, early detection, diagnosis, treatment and prognosis
  • Big data analysis, artificial intelligence and data science including aspects such as explainable AI, trustworthiness, and interpretability as well as “integration” and “interplay” of human and computational intelligence
  • Sensor technology for intelligent and unobtrusive data collection and monitoring
  • eHealth/mHealth systems and platforms offering novel personalized data collection, treatment plans and interventions
  • Integration and use of patient reported outcome (PRO) data and measurement (PROM) data with “classical” healthcare data
  • Data-driven experiments as alternatives to “classical” longitudinal RCTs such as ecological momentary assessments (EMA) and interventions (EMI)
  • Legal and ethical aspects of data-driven health technology
  • Assessment of data-driven health technology

Important dates

Paper submission deadline: extended to December 1, 2020
Expected publication: 2021

Papers must be submitted in the JHIR editorial manager system: . Under "Additional Information," please respond "Yes" when asked about submitting to a Special Issue, and choose "Data-Driven Health Technology."

General submission guidelines can be found on the journal’s website:

Submitted papers will go through a standard review process, which typical involves one or more revisions.