Cristin-resultat-ID: 1537167
Sist endret: 15. august 2018 00:00
NVI-rapporteringsår: 2017
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Infrastructure for the Learning Healthcare System: Centralized or Distributed?

  • Andrius Budrionis og
  • Johan Gustav Bellika


Om resultatet



  • Engelsk


Infrastructure for the Learning Healthcare System: Centralized or Distributed?


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.


Resultatet er en del av

Proceedings from The 15th Scandinavian Conference on Health Informatics 2017 Kristiansand, Norway, August 29–30, 2017.

Martinez, Santiago; Budrionis, Andrius; Bygholm, Ann; Fossum, Mariann; Hartvigsen, Gunnar; Hägglund, Maria; Moe, Carl Erik; Thygesen, Elin; Vimarlund, Vivian; Yigzaw, Kassaye Yitbarek. 2017, Linköping University Electronic Press . UIT, UNN, NTNU, UIAVitenskapelig antologi/Konferanseserie