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Care Model Design for E-Health: Integration of Point-of-Care Testing at Dutch General Practices

Point-of-care testing (POCT)—laboratory tests performed with new mobile devices and online technologies outside of the central laboratory—is rapidly outpacing the traditional laboratory test market, growing at a rate of 12 to 15% each year. POCT impacts the diagnostic process of care providers by yi...

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Detalles Bibliográficos
Autores principales: Verhees, Bart, van Kuijk, Kees, Simonse, Lianne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5799872/
https://www.ncbi.nlm.nih.gov/pubmed/29267224
http://dx.doi.org/10.3390/ijerph15010004
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author Verhees, Bart
van Kuijk, Kees
Simonse, Lianne
author_facet Verhees, Bart
van Kuijk, Kees
Simonse, Lianne
author_sort Verhees, Bart
collection PubMed
description Point-of-care testing (POCT)—laboratory tests performed with new mobile devices and online technologies outside of the central laboratory—is rapidly outpacing the traditional laboratory test market, growing at a rate of 12 to 15% each year. POCT impacts the diagnostic process of care providers by yielding high efficiency benefits in terms of turnaround time and related quality improvements in the reduction of errors. However, the implementation of this disruptive eHealth technology requires the integration and transformation of diagnostic services across the boundaries of healthcare organizations. Research has revealed both advantages and barriers of POCT implementations, yet to date, there is no business model for the integration of POCT within general practice. The aim of this article is to contribute with a design for a care model that enables the integration of POCT in primary healthcare. In this research, we used a design modelling toolkit for data collection at five general practices. Through an iterative design process, we modelled the actors and value transactions, and designed an optimized care model for the dynamic integration of POCTs into the GP’s network of care delivery. The care model design will have a direct bearing on improving the integration of POCT through the connectivity and norm guidelines between the general practice, the POC technology, and the diagnostic centre.
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spelling pubmed-57998722018-02-06 Care Model Design for E-Health: Integration of Point-of-Care Testing at Dutch General Practices Verhees, Bart van Kuijk, Kees Simonse, Lianne Int J Environ Res Public Health Article Point-of-care testing (POCT)—laboratory tests performed with new mobile devices and online technologies outside of the central laboratory—is rapidly outpacing the traditional laboratory test market, growing at a rate of 12 to 15% each year. POCT impacts the diagnostic process of care providers by yielding high efficiency benefits in terms of turnaround time and related quality improvements in the reduction of errors. However, the implementation of this disruptive eHealth technology requires the integration and transformation of diagnostic services across the boundaries of healthcare organizations. Research has revealed both advantages and barriers of POCT implementations, yet to date, there is no business model for the integration of POCT within general practice. The aim of this article is to contribute with a design for a care model that enables the integration of POCT in primary healthcare. In this research, we used a design modelling toolkit for data collection at five general practices. Through an iterative design process, we modelled the actors and value transactions, and designed an optimized care model for the dynamic integration of POCTs into the GP’s network of care delivery. The care model design will have a direct bearing on improving the integration of POCT through the connectivity and norm guidelines between the general practice, the POC technology, and the diagnostic centre. MDPI 2017-12-21 2018-01 /pmc/articles/PMC5799872/ /pubmed/29267224 http://dx.doi.org/10.3390/ijerph15010004 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Verhees, Bart
van Kuijk, Kees
Simonse, Lianne
Care Model Design for E-Health: Integration of Point-of-Care Testing at Dutch General Practices
title Care Model Design for E-Health: Integration of Point-of-Care Testing at Dutch General Practices
title_full Care Model Design for E-Health: Integration of Point-of-Care Testing at Dutch General Practices
title_fullStr Care Model Design for E-Health: Integration of Point-of-Care Testing at Dutch General Practices
title_full_unstemmed Care Model Design for E-Health: Integration of Point-of-Care Testing at Dutch General Practices
title_short Care Model Design for E-Health: Integration of Point-of-Care Testing at Dutch General Practices
title_sort care model design for e-health: integration of point-of-care testing at dutch general practices
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5799872/
https://www.ncbi.nlm.nih.gov/pubmed/29267224
http://dx.doi.org/10.3390/ijerph15010004
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