Andrius Budrionis
Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway
Johan Gustav Bellika
Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway / Department of Clinical Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway
Download article
Published in: Proceedings from The 15th Scandinavian Conference on Health Informatics 2017 Kristiansand, Norway, August 29–30, 2017
Linköping Electronic Conference Proceedings 145:8, p. 50-54
Published: 2018-01-04
ISBN: 978-91-7685-364-1
ISSN: 1650-3686 (print), 1650-3740 (online)
The learning healthcare system ideas brought novel approaches to knowledge generation and adoption in healthcare. High focus on data created in routine practice highlighted the underexplored potential for quality improvement, cost reduction and personalized care. While the high-level goals promise major improvement in healthcare delivery worldwide, it is less clear how such practices should be implemented and maintained. Technical infrastructure to ensure data access and processing capabilities is the initial building block enabling agile learning from practice. Selection between distributed data processing network and centralized repository as a fundament for the learning healthcare system has implications to further development of the system and its utility. This paper contrasts two architectural patterns and highlights their advantages and limitation to serve data access and processing needs in the learning healthcare. It provides comparative insights in decision making and assists in selecting an approach for implementation.
Learning healthcare systems, centralized, distributed, architecture, data reuse, infrastructure, primary care
