News | February 10, 2011

South Florida Radiology Practice Selects McKesson Revenue Service


February 10, 2011 – Radiology Associates of South Florida, one of the nation’s largest radiology practices, has selected McKesson’s Revenue Management Solutions (RMS) service. The practice will use RMS to help grow revenue, control costs and reduce regulatory risks.

“Like other practices, we are faced with decreased reimbursement, increased regulation and a growing number of coding changes,” said Dennis Wiseman, executive director, Radiology Associates of South Florida, whose 66 physicians handle more than 700,000 procedures each year. “By partnering with McKesson, we get the benefit of its advanced business management and proven expertise in working with practices like ours. Knowing that the business side of our practice is in good hands, our physicians can continue to concentrate on providing the best patient care possible.”

The company’s RMS group is the nation’s leading provider of medical billing and revenue management services, and is supported by a team of more than 4,000 revenue cycle professionals.

Key factors in RASF’s decision included the use of a dedicated account manager to provide personalized financial analysis, performance assessments and updates on regulatory and compliance changes. Strategic decision-making at the practice will be enhanced with Web-based business intelligence and reporting tools, which are designed to enable direct access to the group’s financial data.

“The growing complexity of documentation and coding can leave radiology practices vulnerable to costly errors and regulatory challenges,” said Pat Leonard, senior vice president and general manager, McKesson Revenue Management Solutions. “With the industry’s largest number of certified coders, we can help innovative practices like Radiology Associates of South Florida minimize risk, optimize revenue and improve patient care.”

For more information: www.mckesson.com/radiologyservices

Related Content

Guerbet, IBM Watson Health Partner on Artificial Intelligence for Liver Imaging
News | Clinical Decision Support | July 10, 2018
Guerbet announced it has signed an exclusive joint development agreement with IBM Watson Health to develop an...
Sponsored Content | Whitepapers | PACS | July 09, 2018
The move toward value-based reimbursement (VBR) models is putting pressure on healthcare organizations to modernize...
Sponsored Content | Case Study | PACS | July 09, 2018
One of the Northeast’s major teaching hospitals is an international leader in virtually every area of medicine. It has...
FDA Clears Bay Labs' EchoMD AutoEF Software for AI Echo Analysis
Technology | Cardiovascular Ultrasound | June 19, 2018
Cardiovascular imaging artificial intelligence (AI) company Bay Labs announced its EchoMD AutoEF software received 510(...
News | Remote Viewing Systems | June 14, 2018
International Medical Solutions (IMS) recently announced that the American College of Radiology (ACR) added IMS'...
Wake Radiology Launches First Installation of EnvoyAI Platform
News | Artificial Intelligence | June 13, 2018
Artificial intelligence (AI) platform provider EnvoyAI recently completed their first successful customer installation...
How AI and Deep Learning Will Enable Cancer Diagnosis Via Ultrasound

The red outline shows the manually segmented boundary of a carcinoma, while the deep learning-predicted boundaries are shown in blue, green and cyan. Copyright 2018 Kumar et al. under Creative Commons Attribution License.

News | Ultrasound Imaging | June 12, 2018 | Tony Kontzer
June 12, 2018 — Viksit Kumar didn’t know his mother had...
Zebra Medical Vision Unveils AI-Based Chest X-ray Research
News | Artificial Intelligence | June 08, 2018
June 8, 2018 — Zebra Medical Vision unveiled its Textray chest X-ray research, which will form the basis for a future
Konica Minolta Launches AeroRemote Insights for Digital Radiography
Technology | Analytics Software | June 07, 2018
Konica Minolta Healthcare Americas Inc. announced the release of AeroRemote Insights, a cloud-based, business...
Vinay Vaidya, Chief Medical Information Officer at Phoenix Children’s Hospital

Vinay Vaidya, Chief Medical Information Officer at Phoenix Children’s Hospital

Sponsored Content | Case Study | Artificial Intelligence | June 05, 2018
The power to predict a cardiac arrest, support a clinical diagnosis or nudge a provider when it is time to issue medi
Overlay Init