Radiology Quality Measure Compliance Reporting: an Automated Approach.
As part of its ongoing effort to improve healthcare quality, the Center of Medicare and Medicaid Services (CMS) has transitioned from monetary rewards to reimbursement penalties for noncompliance or nonparticipation with its quality measurement initiatives. More specifically, eligible providers who bill for CMS patient care, such as radiologists, will face a 2 % negative payment adjustment, if they fail to report adequate participation and compliance with sufficient CMS quality measures in 2015. Although several methods exist to report participation and compliance, each method requires the gathering of relevant studies and assessing the reports for compliance. To aid in this data gathering and to prevent reduced reimbursements, radiology groups should consider implementing automated processes to monitor compliance with these quality measure standards. This article describes one method of creating an automated report scanner, utilizing an open source interface engine called Mirth Connect, that may facilitate the data gathering and monitoring related to reporting compliance with CMS standard #195 Stenosis measurement in Ultrasound Carotid Imaging Reports. The process described in this article is currently utilized by a large multi-institutional radiology group to assess for report compliance and offers the user near real time surveillance of compliance with the quality measure.
University of California San Francisco-Radiology, 505 Parnassus Avenue M-391, San Francisco, CA, 94143, USA. marc.kohli@ucsf.edu.
Marc
M
Kohli
Mayo Clinic-Radiology, Jacksonville, FL, USA.
Duane
D
Schonlau
D006801:Humans; D008484:Medicaid; D006278:Medicare; D058996:Quality Improvement / Q000191:economics / Q000592:standards*; D011787:Quality of Health Care / Q000191:economics / Q000592:standards*; D011871:Radiology / Q000191:economics / Q000592:standards*; D012052:Reimbursement, Incentive / Q000191:economics / Q000592:standards*; D014481:United States
Compliance; HL7; Mirth Connect; PQRS; Pivot table; Quality