Special Issue "Barriers and Enablers in the Adoption of Widespread Digital Solutions in Healthcare"
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Digital Health".
Deadline for manuscript submissions: 28 February 2022.
Interests: innovation in health and care; digital tools and services for healthcare; telehealth; telecare; technology-enabled care
Special Issues, Collections and Topics in MDPI journals
Special Issue in International Journal of Environmental Research and Public Health: Advances in Technology Enabled Health and Care
Special Issue in International Journal of Environmental Research and Public Health: Global Advances in Telehealth Practice
The digital health sector is characterised as emerging from the conjunction of health and care services, mobile health and ICT, and it is one of the fastest growing economic sectors globally. One of the most significant barriers to the adoption of digital tools and services in support of the delivery of healthcare is that of TRUST.
This raises the question: how do we gain the trust of citizens as well as health and care providers and policy makers in the use of digital technologies? This is particularly so in the application of machine learning and AI in pursuit of the delivery of safe and effective healthcare delivery.
This Special Issue is seeking to focus on the barriers and enablers to the adoption of digital healthcare services and explore the importance of trust.
By inviting contributions from academics from around the world, we are seeking to ensure that we develop a better understanding of the issues that create barriers to the adoption of digital technologies, not only from the healthcare professionals’ and patients’ perspective but also that of policy makers and commissioners of services. It is important that we do not disable the contribution that digital technologies can make in the global recovery from COVID-19. We are thus inviting academics to share their current work on the enablers and barriers to adoption and in particular are seeking contributions that focus on trust. Papers on the lessons learned in relation to the use of digital tools and services in the management of the COVID-19 pandemic and on COVID-19 recovery are encouraged. This can also include research into explainable and trustworthy AI, but all trust aspects of digital service adoption and scaling across all aspects of health and care delivery will be welcomed. By exploring how trust can be gained and communicated as well as lost, we can better understand how it is built into the innovation process from the early stages of product and service development.
Prof. Dr. George Crooks
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2300 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- machine learning
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Scaling Digital Health Innovation: developing a new ‘Service Readiness Level’ framework of evidence
Authors: Janette Hughes, Marilyn Lennon, Robert Rogerson and George Crooks
Affiliation: University of Strathclyde, Glasgow, UK