Open AccessHow Can an AI Supported, Self-Assessment Tool Raise Standards of Digital Health Services During COVID-19 Emergency?
Author(s) -
Neja Samar Brenčič,
Malcolm Fisk,
Uroš Rajkovič
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18690/978-961-286-442-2.62
Subject(s) - accreditation , digital health , context (archaeology) , quality (philosophy) , telemedicine , business , health care , service (business) , knowledge management , pandemic , services computing , covid-19 , computer science , process management , web service , world wide web , marketing , medicine , political science , paleontology , philosophy , disease , epistemology , pathology , infectious disease (medical specialty) , law , medical education , biology
It is understandable that digital health services are now being developed in the context of a global emergency. However, it is crucial that standards are in place for these services to support their operation in a way that accommodates common interests and objectives and recognises the level of their importance for all stakeholders involved (including service recipients or users). We believe that it is necessary to establish and maintain quality standards for digital health products and services in these conditions. Furthermore, even after the pandemic, the need to integrate digital health services into traditional health and social services will remain a priority. Therefore we consider whether multi-criteria, self assessment tools, supported with artificial intelligence, can raise standards of digital health services that are rapidly developing as a consequence of the COVID-19 pandemic. We believe that such digital services are no longer just an alternative form of health care. It follows that frameworks for the development of standards, accreditation and regulation must also be included as national (or supra-national) priorities. These will help ensure not only technological but also service quality.