How can Big Data Analytics Support People-Centred and Integrated Health Services: A Scoping Review

Conclusions: Big data analytics can support people-centred and integrated health services e.g. by patient similarity stratifications or predictions of individual risk factors. But BDA fails to unfold its full potential until data source systems are still disconnected and actions towards a comprehensive and people-centred health-related data platform are politically insufficiently incentivized. This work highlighted the potential of big data analysis in the context of the model of people-centred and integrated health services, whereby the role model of the person-centered health platform can be used as a blueprint to support strategies to improve person-centered health care. Likely because health data is extremely sensitive and complex, there are only few practical examples of platforms to some extent already capable of merging and processing people-centred big data, but the integration of health data can be expected to further proceed so that analytical opportunities might also become reality in the near future. AbstraktEinleitung: Gesundheitssysteme in entwickelten L ändern stehen vor vielen Herausforderungen in Bezug auf die Verbesserung von Qualität und Effizienz, die zum Teil nur durch Veränderungen auf der Systemebene bewältigt werden können. Die Versorgung im Einklang mit den Bedürfnissen von Personen zu gestalten ist der zentrale Gedanke des WHO-Mode lls der personen-zentrierten und integrierten Versorgung (people-centred and integrated health services). Die Int...
Source: International Journal of Integrated Care - Category: Nursing Source Type: research