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Real World Evidence (RWE)

TriNetX Lands $40M to Expand Global Health Research Network

by Jasmine Pennic 03/15/2019 Leave a Comment

TriNetX Lands $40M to Expand Global Health Research Network

TriNetX, a Cambridge, MA-based global health research network that optimizes clinical research and enables discoveries through the creation of real-world evidence (RWE) has raised $40 million in Series D funding. The Series D funding round was led by Merck Global Health Innovation Fund (Merck GHIF) along with new investors Mitsui & Co., Ltd., ITOCHU Technology Ventures, ITOCHU Corporation, and existing investors MPM Capital, F2 Ventures, and Deerfield Management. To date, TriNetX has raised
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The State of EHR Data in the Midst of The Real-World Evidence Evolution

by Erica Garvin 02/27/2019 Leave a Comment

The State of EHR Data in the Midst of The Real-World Evidence Evolution

It’s time to search for answers beyond the structured fields of your EHR. Dan Riskin explains.“Wave” is a perfect word to describe the swell that is big data because it’s quite oceanic in the sense that it’s everywhere, but that doesn’t mean it’s readily consumable. Ubiquity is both the critical asset and challenge that big data brings to healthcare. It’s also the muse that has innovators not just thinking outside the box when it comes to creating HIT solutions but searching for valuable data
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VMT Lands Grant to Enable Accurate Extraction of Clinical Outcomes from Real World Evidence (RWE)

by Jasmine Pennic 12/14/2018 Leave a Comment

Revenue Integrity Dysfunctional Patient Billing Major Distraction for Patients & Clinicians 6 Metrics to Improve Hospital Revenue Cycle ROI_revenue cycle makret

The National Science Foundation, today announced a grant to VMT for developing technology focused on pragmatic clinical trials allowing clinical outcomes to be extracted from real-world data. VMT is a medical technology incubation firm, developing and commercializing cutting-edge healthcare products to address critical healthcare needs. The approach uses artificial intelligence to dive deep into the electronic health record (EHR) for outcome data to enable EHR-based pragmatic clinical trials.
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