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Evaluating a Smart Healthcare System Design Through Participatory Approach.
Webber, Thais; Bowles, Juliana; Constantinides, Argyris; Belk, Marios; Morley, Emma.
  • Webber T; School of Computer Science, University of St Andrews, UK.
  • Bowles J; School of Computer Science, University of St Andrews, UK.
  • Constantinides A; University of Cyprus, Cyprus & Cognitive UX LTD, Cyprus.
  • Belk M; University of Cyprus, Cyprus & Cognitive UX LTD, Cyprus.
  • Morley E; School of Computer Science, University of St Andrews, UK.
Stud Health Technol Inform ; 295: 312-315, 2022 Jun 29.
Article in English | MEDLINE | ID: covidwho-1924035
ABSTRACT
Advances in computer communication technology have enabled the rapid growth of e-health services for delivering healthcare, such as facilitating online consent and data sharing between patients and health professionals. Developing a patient-centric healthcare system is challenging because by necessity, it should be secure, reliable, and resilient to cyber threats, whilst remaining user-friendly. Key to any development aiming for a refined proof-of-concept (PoC) system is the pursuit of comprehensive public system testing and evaluation. This paper focuses on the methodology and results obtained from the participatory approach adopted by the EU H2020 project Serums to evaluate and demonstrate the effectiveness of a smart healthcare system based on emergent technologies like blockchain, data lake, and multi-factor authentication. We discuss the challenges faced by remote PoC system evaluations with end-users as a consequence of the Covid-19 pandemic.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Blockchain / COVID-19 Type of study: Experimental Studies / Prognostic study Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2022 Document Type: Article Affiliation country: SHTI220725

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Blockchain / COVID-19 Type of study: Experimental Studies / Prognostic study Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2022 Document Type: Article Affiliation country: SHTI220725