A Scoping Review of Cloud Computing Solutions in Enhanced Dialysis Information Exchange

Asghar  Ehteshami; Maedeh  Esmailzadeh; Abolfazl  Rezaei

doi:10.18502/jebhpme.v8i2.17186

Asghar Ehteshami Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
Maedeh Esmailzadeh Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
Abolfazl Rezaei Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran

DOI: https://doi.org/10.18502/jebhpme.v8i2.17186

Keywords: Dialysis , Hemodialysis , Information Exchange ,Cloud Computing

Abstract

Background: Dialysis, a critical treatment for kidney failure, faces challenges related to patient safety, treatment efficiency, and overall care quality. Despite advancements in technology, improved information exchange is essential to overcome limitations of traditional sharing methods, which often lack accessibility and security. Cloud computing offers a promising solution with its scalability and efficiency, potentially revolutionizing dialysis information exchange and leading to improved patient outcomes and enhanced healthcare delivery.

Methods: This scoping review aimed to synthesize research on cloud computing solutions for improving dialysis information exchange by conducting a systematic search across five databases (PubMed, Web of Science, Scopus, Embase, and ProQuest) using relevant keywords. The review included observational studies published from 2010 to the present, and employed a rigorous selection process to ensure the studies were pertinent to dialysis care while excluding irrelevant articles.

Results: Six key areas where cloud computing can enhance dialysis information exchange were identified: telemedicine, cloud computing infrastructure, clinical information systems, information management, standards and models, and associated challenges. It emphasizes the potential of cloud-based solutions to improve patient care through remote monitoring, data analytics, and improved communication among healthcare providers.

Conclusions: Cloud computing solutions present a promising opportunity to enhance dialysis information exchange by improving security, transparency, cost-effectiveness, and efficiency. This review highlights the potential of cloud-based platforms to streamline data management, facilitate communication, and enhance patient care. However, realizing these benefits requires addressing challenges such as data security, establishing unified standards, and ensuring interoperability. By integrating advanced technologies like blockchain, attribute-based encryption, and federated learning, and prioritizing research on data privacy concerns, the advantages of cloud computing in dialysis care and improve patient outcomes. Can be further unlocked.