Data from the IMPROVE Project: Labelling Decisions and Metadata from an Umbrella Review on Patient-Generated Health Data in Digital Health

Abstract

The EU-funded IMPROVE project seeks to build a platform that enables the smart use of patient-generated health data (PGHD), thereby enhancing digital healthcare efficiency. This paper introduces a dataset directly resulting from a large-scale systematic literature search carried out within the IMPROVE project, concerning the use of PGHD in treatments of five categories of chronic diseases: cardiovascular disease, chronic inflammation, neurology, oncology, and ophthalmology. Specifically, the dataset contains the metadata of 12.473 studies returned by databases, such as title, abstract and DOI, as well as inclusion decisions. The dataset is stored in both excel and csv format. It can be used to aid the understanding of PGHD use in healthcare and the development of AI-assisted systematic review tools.

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