Unleashing the potential of real-world data for learning health systems: Context and applications of international studies in diabetes care

F. Carinci

Unleashing the potential of real-world data for learning health systems: Context and applications of international studies in diabetes care

F. Carinci

Research output: PhD Thesis › Phd-Thesis - Research and graduation internal

Abstract

Real-World Data (RWD) are data collected as part of daily life operations that form the building blocks of modern information systems to measure quality of care continuously and consistently. Learning Health Systems (LHS) have been described as systems "at the crossroads of people and information systems, which enable virtuous learning cycles informed by evidence and actionable

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	University of Amsterdam
Supervisors/Advisors	Klazinga, Nicolaas, Supervisor de Lusignan, Simon, Supervisor, External person
Award date	14 Jul 2023
Publication status	Published - 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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https://hdl.handle.net/11245.1/f0a4ec73-8c03-42b6-9aaf-927823a639a7

Cite this

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M3 - Phd-Thesis - Research and graduation internal

ER -

Unleashing the potential of real-world data for learning health systems: Context and applications of international studies in diabetes care

Abstract

UN SDGs

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Cite this