Making biomedical data computable

Vik Nagjee is the vice president of product at nference [Photo courtesy of nference]

Cloud computing can power quantum leaps in human health.

Vik Nagjee, nference

A state-of-the art platform that supports real world evidence (RWE) and health economics and outcomes research can enable breakthroughs at an unprecedented scale.

This is achieved by making the de-identified, transformed information contained within the electronic medical record (EMR) available for data science and analysis at the aggregate and patient level. Add multi-modal data sources such as imaging and electrocardiograms as well as novel data assets like digital pathology and omics data to enrich the EMR data to provide a truly longitudinal view of the patient, and you have the beginnings of a world-class platform.

The keys are privacy preservation, harnessing longitudinal data, data enrichment and a data science platform.

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Google unveils AI-powered Care Studio Conditions to make sense of patient records

Google Health’s new Care Studio feature, Conditions [Screenshot courtesy of Google]

Google Health previewed a new Care Studio feature called Conditions to make electronic health records more accessible and useful for clinicians treating patients.

Powered by artificial intelligence, Conditions can interpret and organize clinical notes stored across different systems for different purposes by different health care professionals.

‘When it comes to writing notes, clinicians use different abbreviations or acronyms depending on their personal preference, what health system they’re a part of, their region and other factors.” Paul Muret VP and GM of Google Health’s Care Studio, wrote yesterday in a blog post. “All of this has made it difficult to synthesize clinical data — until now.”

Conditions uses natural language processing to understand the notes, rank conditions b…

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