A decision support tool for healthcare professionals in the management of hyperphosphatemia in hemodialysis

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Abstract

In Denmark, patients being treated on Haematology Outpatients Departments get instructed to self-manage their blood sample collection from Central Venous Catheter (CVC). However, this is a complex and risky procedure, which can jeopardize patient safety. The aim of the study was to suggest a method for developing standard digital patient education programs for patients in self-administration of blood samples drawn from CVC. The Design Science Research Paradigm was used to develop a digital patient education program, called PAVIOSY, to increase patient safety during execution of the blood sample collection procedure by using videos for teaching as well as procedural support. A step-by-step guide was developed and used as basis for making the videos. Quality assurance through evaluation with a nurse was conducted on both the step-by-step guide and the videos. The quality assurance evaluation of the videos showed; 1) Errors due to the order of the procedure can be determined by reviewing the videos despite that the guide was followed. 2) Videos can be used to identify errors - important for patient safety - in the procedure, which are not identifiable in a written script. To ensure correct clinical content of the educational patient system, health professionals must be engaged early in the development of content and design phase.

Original languageEnglish
Title of host publicationBuilding Continents of Knowledge in Oceans of Data : The Future of Co-Created eHealth - Proceedings of MIE 2018
EditorsGunnar O. Klein, Daniel Karlsson, Anne Moen, Adrien Ugon
Number of pages5
PublisherIOS Press
Publication date1 Jan 2018
Pages810-814
ISBN (Print) 978-1-61499-851-8
ISBN (Electronic)978-1-61499-852-5
DOIs
Publication statusPublished - 1 Jan 2018
EventMedical Informatics Europe, MIE - Gothenburg, Sweden
Duration: 24 Apr 201826 Apr 2018

Conference

ConferenceMedical Informatics Europe, MIE
CountrySweden
CityGothenburg
Period24/04/201826/04/2018
SeriesStudies in Health Technology and Informatics
Number247
ISSN0926-9630

Keywords

  • Chronic kidney insufficiency
  • Compartment modelling
  • Decision support systems
  • Hemodialysis
  • Phosphate

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