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RESEARCH PRODUCT
Big Data as a Driver for Clinical Decision Support Systems: A Learning Health Systems Perspective
Arianna DagliatiArianna DagliatiValentina TibolloLucia SacchiAlberto MaloviniIvan LimongelliMatteo GabettaCarlo NapolitanoAndrea MazzantiPasquale De CataLuca ChiovatoSilvia PrioriRiccardo BellazziRiccardo Bellazzisubject
Decision support systemProcess (engineering)Computer scienceBig datacomputer.software_genre01 natural sciencesClinical decision support systemlcsh:QA75.5-76.9503 medical and health sciences0302 clinical medicinebig datalcsh:AZ20-999Health care030212 general & internal medicine0101 mathematicsdata analyticsdata integrationImplementationbusiness.industry010102 general mathematicslearning health care cyclelcsh:History of scholarship and learning. The humanitiesData scienceData warehousedata warehouseslcsh:Electronic computers. Computer sciencebusinesscomputerData integrationdescription
Big data technologies are nowadays providing health care with powerful instruments to gather and analyze large volumes of heterogeneous data collected for different purposes, including clinical care, administration, and research. This makes possible to design IT infrastructures that favor the implementation of the so-called “Learning Healthcare System Cycle,” where healthcare practice and research are part of a unique and synergic process. In this paper we highlight how “Big Data enabled” integrated data collections may support clinical decision-making together with biomedical research. Two effective implementations are reported, concerning decision support in Diabetes and in Inherited Arrhythmogenic Diseases.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2018-05-01 | Frontiers in Digital Humanities |