Digital Health Support: Current Status and Future Development for Enhancing Dialysis Patient Care and Empowering Patients

Bernard Canaud*, Andrew Davenport, Hélène Leray-Moragues, Marion Morena-Carrere, Jean Paul Cristol, Jeroen Kooman, Peter Kotanko

*Corresponding author for this work

Research output: Contribution to journal(Systematic) Review article peer-review

Abstract

Chronic kidney disease poses a growing global health concern, as an increasing number of patients progress to end-stage kidney disease requiring kidney replacement therapy, presenting various challenges including shortage of care givers and cost-related issues. In this narrative essay, we explore innovative strategies based on in-depth literature analysis that may help healthcare systems face these challenges, with a focus on digital health technologies (DHTs), to enhance removal and ensure better control of broader spectrum of uremic toxins, to optimize resources, improve care and outcomes, and empower patients. Therefore, alternative strategies, such as self-care dialysis, home-based dialysis with the support of teledialysis, need to be developed. Managing ESKD requires an improvement in patient management, emphasizing patient education, caregiver knowledge, and robust digital support systems. The solution involves leveraging DHTs to automate HD, implement automated algorithm-driven controlled HD, remotely monitor patients, provide health education, and enable caregivers with data-driven decision-making. These technologies, including artificial intelligence, aim to enhance care quality, reduce practice variations, and improve treatment outcomes whilst supporting personalized kidney replacement therapy. This narrative essay offers an update on currently available digital health technologies used in the management of HD patients and envisions future technologies that, through digital solutions, potentially empower patients and will more effectively support their HD treatments.
Original languageEnglish
Article number211
Number of pages19
JournalToxins
Volume16
Issue number5
DOIs
Publication statusPublished - 30 Apr 2024

Keywords

  • artificial intelligence
  • cost-effectiveness
  • digital technology
  • end-stage kidney disease
  • kidney replacement therapy
  • patient outcomes
  • uremic toxins

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