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 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 organizati... Mehr ...

Verfasser: Bart Verhees
Kees van Kuijk
Lianne Simonse
Dokumenttyp: Artikel
Erscheinungsdatum: 2017
Reihe/Periodikum: International Journal of Environmental Research and Public Health, Vol 15, Iss 1, p 4 (2017)
Verlag/Hrsg.: MDPI AG
Schlagwörter: point-of-care testing / modelling business models / visual modelling / general practice / diagnostic centre / Dutch healthcare system / Medicine / R
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-27409131
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.3390/ijerph15010004

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.