Jan.2, 2007: Anodyne Expands Executive Team
Atlanta, GA January 2, 2007 – Anodyne Health, Inc., a leader in healthcare revenue cycle management, welcomes the addition of M. Sean Molley, Brant Castellow and Jane Murphy White to their Executive Team.
M. Sean Molley, Chief Technology Officer of Anodyne Health, develops and deploys the architecture and design of Anodyne’s business intelligence solutions and oversees the company’s business intelligence and reporting environment. Prior to joining Anodyne, Sean developed data mining solutions for internal and external customers and created a comprehensive Executive Information System for the divisional and corporate senior management teams at Per Se Technologies.
Serving as Senior Vice President of Sales and Marketing at Anodyne Health, Brant Castellow leads the sales and marketing effort and brings close to fifteen years of experience in the healthcare industry. Brant’s previous successes include sales and development of enterprise clinical solutions, revenue cycle solutions, consulting services, IT infrastructure and IT outsourcing services for healthcare providers and affiliated physician groups.
Jane Murphy White is Vice President of Enterprise Services at Anodyne Health. With over fifteen years of enterprise-wide account management experience in the healthcare industry, she oversees the successful integration of Anodyne’s large scale clients. Prior to joining Anodyne, Jane created and directed Per-Se Technologies’ first Client Management Department.
About Anodyne Health, Inc.
Anodyne Health, Inc. (www.anodynehealth.com) delivers revenue cycle solutions to healthcare provider organizations including physician billing, medical coding and business intelligence (“BI”) software. The company’s billing solution helps practices drive greater revenues, minimize compliance risk and gain a deep understanding of the business side of their practice. Our unique, easy-to-use web-based business intelligence (“BI”) software revolutionizes access to your revenue cycle information and data that was once thought difficult, or even impossible, to obtain.
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