Darren Schulte, MD, Appointed CEO of Apixio
Co-founder and previous CEO Shawn Dastmalchi, PhD, to continue as board member
San Mateo, California — June 11, 2014 — Apixio Inc., announced today that its board of directors has appointed Darren Schulte, MD, previously the company’s president, to be chief executive officer. Schulte is replacing the current CEO and co-founder Shawn Dastmalchi, PhD, who will remain as an active board member.
Apixio's Series C Round Of Finance Led By Bain Capital Ventures
$13.5 million investment to support rapid growth of Risk Adjustment solutions for Medicare Advantage and Commercial Health Insurance Plans
San Mateo, California — May 27, 2014 — Apixio Inc., a pioneer in Big Data analytics for healthcare, announced today that Bain Capital Ventures, the venture and growth capital affiliate of Bain Capital, led a $13.5 million Series C investment round which included follow-on funding from several high profile Silicon Valley Angel investors.
Commercial Risk Adjustment Reimagined using Big Data Science
Health plans can now identify HCC Risk Adjustment codes for all members in less time with more accurate results
San Mateo, CA — Feb 23, 2014 — Apixio Inc., a pioneer in big data solutions for deriving healthcare outcome and cost related insights from clinical unstructured and coded data, introduced a commercial risk version of its HCC Optimizer solution at HIMSS 2014.
Apixio Appoints Jeff Harmon VP of Finance
Former Corelogic VP of Finance to lead development and execution of Apixio’s financial management strategy
San Mateo, CA — February 10, 2014 — Apixio Inc., a pioneer in Big Data analytics for healthcare, announces the recent appointment of Jeff Harmon as its VP of Finance.
Apixio Names John Schneider as Chief Technology Officer
Former Apollo Group Chief Architect to lead research and development of Apixio’s Big Data platform
San Mateo, CA — June 25, 2013 — Apixio Inc., a leading provider of big data analytic and clinical data integration solutions for healthcare, announced the recent appointment of John Schneider as its Chief Technology Officer.
Apixio and Dell to Jointly Offer Big Data Analytic Solutions to Transform Healthcare
Using Big Data for effective clinical performance management
San Mateo, CA — June 4, 2013 — Apixio Inc., a leading provider of big data analytic and clinical data integration solutions for healthcare, and Dell are collaborating to offer solutions that enable healthcare systems to improve performance management and reporting.
Big Data Takes Healthcare Transformation By Storm
Apixio and Intel team up to pioneer the broad adoption of Hadoop architecture in healthcare
San Mateo, CA — March 4, 2013 — Apixio Inc., a leading provider of big data analytic and clinical data integration solutions for healthcare, announced today that it is collaborating with Intel Corporation to optimize Hadoop-based big data solutions for widespread use in healthcare.
Healthcare Performance Reporting - Big Data Style
Apixio introduces ground-breaking solution for on-demand authoring and deployment of quality measure reports and care gap notifications
San Mateo, CA — March 1, 2013 — Apixio Inc., a leading provider of big data analytic and clinical data integration solutions for healthcare, introduces a new analytic module, Quality Optimizer, an innovative solution to rapidly author and deploy quality measure reports and real-time care notifications. The product will be showcased this week at the HIMSS13 conference in New Orleans, in both Apixio’s Booth (#4358) and Intel’s Booth (#940).
Big Data Equals Big Success for Risk Assessment
An innovative Apixio solution enables a San Francisco-based Medicare Advantage Plan to improve Its HCC coding accuracy
San Mateo, CA — February 27, 2013 — Apixio Inc., a leading provider of big data analytic and clinical data integration solutions for healthcare partnered with Chinese Community Health Plan (CCHP) to improve its Medicare Advantage (MA) plan member risk assessment for the 2012 payment year. Using the Apixio HCC Optimizer solution, generally available last fall, coders contracted by CCHP reviewed and coded conditions identified by Apixio’s automated audit algorithms. The process was over twenty times faster than manual chart audit alone.