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Featured Blog

KFRE Backstory: Dr. Tangri Explains How a Predictive Algorithm With Over 90% Accuracy Came to Be

In 2011, we published a paper in JAMA which developed a predictive model for the progression of chronic kidney disease to kidney failure. I'm going to show you some data on how this model was initially developed, and its accuracy across the entire world — not just the United States. [The model we developed in this paper] was developed in patients with CKD stages...

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09.22.16

Laboratory Data Could Be the Key to Unlocking MIPS

Medicare reimbursement reform measures such as the Merit-Based Incentive Payment System (MIPS) are creating an urgent problem for value-based health systems. Enterprise data systems can take years to assemble and implement. But an agile, laboratory-based analytics platform can be up and running much more quickly, making it an ideal solution for small to…

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09.14.16

Nudging Physicians Toward Appropriate Laboratory Test Utilization

Ordering the wrong laboratory tests leads to patients and laboratories incurring unnecessary costs. Healthcare organizations across the country have found that focusing utilization interventions on the ordering provider is one of the most effective ways to curb overutilization. One type of intervention that has proven to be quite impactful is the use of…

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09.13.16

Viewics Launches Diabetes Management (vCAT)™, a Free Solution For Diabetes Population Management Analytics

We are excited to announce the launch of Viewics Diabetes Management (vCAT)™, a free solution that enables clinical laboratories to provide value-based healthcare organizations with analytics that directly support management of diabetic populations. This is the first product launched in our new Catapult™ product line, which aims to deliver analytics capabilities to health systems without investment or…

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08.22.16

SlideShare: Building an Analytics Empowered Culture

Jason Pincock, CEO of DynaLIFEDX, joined us recently for a webinar on the topic of how to develop an empowered culture around analytics. He walked us through DynaLIFEDX’s journey from using analytics simply as a report generator or data function, to leveraging analytics to empower the organization, changing behavior on the front lines, and becoming part of the…

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08.15.16

Frontline Staff: The New Healthcare Analytics Superusers

The responsibility for healthcare analytics reporting has traditionally fallen squarely in the hands of the IT team. Core report teams produce reports for various departments across the healthcare institution, from microbiology to transportation to payroll. But, what if you were to move the reporting capability into the hands of your frontline staff?

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08.02.16

Viewics Secures $10.5 Million in Additional Financing, Closes Funding to Bring Advanced Analytics to Healthcare

We are thrilled to announce that Viewics has raised $10.5 million in additional financing led by existing investor Canvas Ventures and new investor Roche Venture Fund, whose portfolio includes 23andMe, Flatiron, and Lumos Pharma. City National Bank also contributed. The funds will be used to further expand our analytics platform and management solutions, as…

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07.11.16

Health Systems Realize $2 Million in Yearly Savings Through CKD Management Program

Viewics has implemented the Kidney Failure Risk Equation (KFRE), as well as the Viewics care protocol, in our product, Viewics CKD Management™. As Dr. Navdeep Tangri and Dr. Eleanor Herriman have previously stated, different risk scores suggest different solutions for patients with CKD. A risk score above xx% over five years is when a primary care physician (PCP) should…

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07.05.16

Health System Changes Renal Care Delivery Model Based on Predictive Analytics, Saves Millions

Benefits of predictive analytics for CKD: Accurately predict the risk of renal failure requiring dialysis in patients with CKD stages 3 - 5 for at least up to five years, if not beyond; Risk prediction is highly accurate across multiple countries and subpopulations; The equations are simple, and can be easily integrated into your clinic, hospital, or healthcare system, and…

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06.27.16

KFRE Backstory: Dr. Tangri Explains How a Predictive Algorithm With Over 90% Accuracy Came to Be

In 2011, we published a paper in JAMA which developed a predictive model for the progression of chronic kidney disease to kidney failure. I’m going to show you some data on how this model was initially developed, and its accuracy across the entire world — not just the United States. [The model we developed in this paper] was developed in patients with CKD stages…

Continue Reading >

06.23.16

Components of an Ideal Model for Kidney Failure Risk Prediction

In terms of progressors, care for advanced CKD poses some unique challenges. Not all patients with CKD stage 4 progress [to kidney failure], but some patients with CKD stage 3 progress. So, staging alone based on GFR kind of misses the mark, and we really believe that care should be aligned with advanced CKD. I’m going to show you an example of how…

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