What You Should Know:
- RenalytixAI and DaVita announce a program partnership that
aims to slow kidney disease progression and improve outcomes for the nation’s
estimated 37 million adults with chronic kidney disease (CKD).
- This is the first clinical-grade program that delivers
advanced early-stage prognosis and risk stratification, combined with
actionable care management to the primary care level where the majority of
kidney disease patients are being seen.
- The program will use
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RenalytixAI
Kaiser Appoints First Chief Digital Officer, Teladoc’s New COO, Castlight Health CEO, Other Health IT Appointments
Kaiser Permanente has appointed Prat Vemana as its first chief digital officer for Kaiser Foundation Health Plan and Hospitals. In this newly created role, Vemana will lead the ongoing development and execution of Kaiser Permanente's digital vision and strategy, in collaboration with internal health plan, hospital, and medical group teams.
Atlantic Health System has named Dr. Sylvia Romm as Chief Innovation Officer. In her new role, Romm will be responsible for building new partner
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AMA Grants New CPT Code for KidneyIntelX to Support Medicare & Reimbursement
The American Medical Association (AMA) has granted a CPT® Proprietary Laboratory Analyses (PLA) Code for Renayltix AI’s lead product, KidneyIntelX. The new code, 0105U, has been approved and published by the AMA CPT Editorial Panel, and is scheduled to become effective on October 1, 2019.Medicare Price for New CPT CodeA payment rate for the new code will be established for Medicare patients through the 2019 Clinical Lab Fee Schedule (CLFS) Annual Public Meeting process. Renayltix AI will shortly
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Can Artifical Intelligence Solve The Chronic Kidney Disease Epidemic?
Chronic kidney disease (CKD) is a growing epidemic worldwide. Currently, there are 850 million individuals suffering from CKD globally, with 40 million in the United States alone. Of these individuals, 96 percent are not aware of having CKD, as kidney disease often exhibits no symptoms until it has progressed to a late stage.
As this epidemic continues to grow, healthcare providers and organizations are working to determine how artificial intelligence (AI) can be used to analyze electronic
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