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Validating a new text mining tool for electronic health records

Researchers have undertaken a validation study, using patients with metastatic renal cell carcinoma (mRCC), to assess the efficiency of a […]

Are we ready to use AI to monitor health outcomes in the elderly?

A recent debate article, published in BMC Geriatrics, has explored whether artificial intelligence (AI) health monitoring may be a suitable […]

The dilemmas of using patient health data in research

The use of routine patient data in the form of administrative databases, electronic health records, and clinical registries in biomedical […]

Artificial intelligence systems in ophthalmology

A recent review, published in Current Opinion In Ophthalmology, explores the current status of artificial intelligence (AI) systems in ophthalmology. […]

A framework to generate real-world evidence using real-world data from clinical notes

A new study, published as a preprint in BMC Medical Informatics and Decision Making, has described a framework to generate […]

Medical data: a durable asset

In a recent perspective, published in Nature Genetics, Amalio Telenti and Xiaoqian Jiang argue that aspects of data generation, infrastructure […]

LEGEND: Large-scale Evidence Generation and Evaluation across a Network of Databases

The Observational Health Data Sciences and Informatics (OHDSI) international collaborative have launched a research initiative known as LEGEND. The aim […]

Optimising real-world studies

A recent editorial published in Translational Breast Cancer Research has summarised the concept of real-world studies (RWS) and the opportunities […]

Public perceptions on data sharing

A recent Comment, published in The Lancet Digital Health, has provided key insights into public perceptions on data sharing. Data […]

Calls for global collaboration in Real World Evidence use

Expert panellists have called for a global effort to harmonise the acceptance of Real World Evidence (RWE), to aid clinical […]