ZirMed's Chief Data Scientist Selected to Present at Two Data-Centric Events in September

LOUISVILLE, Ky., Aug. 25, 2015 /PRNewswire/ --  ZirMed^®, the premier cloud-based enterprise financial and clinical performance solution for healthcare, today announced that its Chief Data Scientist, Dr. Paul Bradley, an in-demand expert in the field of predictive analytics, has been selected to present at two upcoming big data conferences:  

• The 2015 Global Big Data Conference (September 1-3, 2015; Santa Clara, CA): Dr. Bradley will lead a session titled "Applying Predictive Analytics in the Healthcare Industry to Boost Efficiencies and Achieve Cost Savings," on Tuesday, September 1^st at 1:40 p.m. PST. The session will outline how provider organizations can leverage data from millions of patient, provider and payer interactions and apply predictive modeling to glean actionable insights to achieve cost-savings and quality-gains.
• The 2015 Boston Data Festival (September 17-24, 2015; Cambridge, MA): On September 21^st, Dr. Bradley will lead a workshop demonstrating how predictive analytics technology is being implemented throughout various healthcare organizations to maximize financial and clinical outcomes and meet market demands. Dr. Bradley will touch upon data aggregation, best practices for triaging at-risk accounts, and aligning key revenue metrics with organizational goals.

Both of these events will bring together thousands of data science professionals, analysts, engineers and C-level executives from various industries including healthcare, information technology, retail and higher education. Data science practitioners, innovators and thought leaders will gather to discuss strategies and best practices for applying big data and analytics in their perspective industries.

"With shifting payment models and ever-changing government mandates, the healthcare industry is undergoing a major transformation, and predictive analytics is becoming a vital tool for provider organizations working to meet the needs of today's evolving market," said Tom Butts, ZirMed CEO. "We're excited for Paul to share his renowned data science expertise in healthcare and outline how we're helping provider organizations embrace a predictive modeling approach with true machine learning to improve cost and quality outcomes."

In his role at ZirMed, Dr. Bradley oversees the research and development of new processes and technologies, including predictive analytics and data mining. ZirMed's cloud-based solutions help over 300,000 providers manage major challenges, such as uncompensated care, patient responsibility and the shift to fee-for-value. ZirMed's end-to-end platform manages everything from patient access to charge integrity, through claims and A/R management, payer and patient payments, population health analytics and patient engagement.

About ZirMed^®

ZirMed empowers healthcare organizations of all sizes and types to optimize revenue and population health with the nation's only comprehensive end-to-end platform of cloud-based financial and clinical performance management solutions—including patient access, charge integrity, claims management, AR management, patient responsibility, and population health management. By combining breakthrough predictive analytics technology with innovative software development and the industry's most advanced transactional network, ZirMed solutions extract actionable insights that improve our clients' revenue cycles and support effective management of population health—while streamlining workflows, increasing operating efficiencies, and driving bottom-line performance. ZirMed's technology and client support continue to be honored with top industry awards, including KLAS®, Healthcare Informatics, Best of SaaS Showplace (BoSS), and Black Book Rankings. To learn how ZirMed can help your healthcare organization boost its financial and clinical performance in an era of changing reimbursement models and rising operating costs, visit www.ZirMed.com.

Media Contact:
Katie Schur
Aria Marketing for ZirMed
Telephone: (617) 332-9999 x214
E-mail: [email protected]

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