Dacarba MDAR Healthcare Technology

MDAR AQuality Comorbidity Analytics Solution

Medical Diagnosis Accuracy Reporting

THE PROBLEM OF INCOMPLETE CLINICAL DOCUMENTATION In the late 1990s, “To Err is Human” exposed the need to infuse a greater emphasis on quality and safety standards and measures in healthcare. Dacarba LLC has launched a proprietary healthcare quality analytics software, MDAR (Medical Diagnosis Accuracy Reporting), which paints an accurate and transparent picture of each patient’s comorbidities for providers and improves quality measurement. Our goal is to create an equal playing field across healthcare institutions, accurately reflect the quality of care provided and strengthen physician and hospital credibility. MODERN VALUE-BASED HEALTHCARE American healthcare is undergoing a transformation from consumption to value, with an ever-increasing emphasis on quality, safety and value-based payment. Quality performance metrics are used more and more to drive value-based payment and reputation for providers and hospitals. Healthcare systems across the nation desire to improve their overall rankings by accurately reflecting clinical quality and anticipate continued industrywide changes.

With the use of MDAR , our client was able to elevate their CMS ranking from 3 stars to 5 stars in 18 months

Revenue $2,300 Increase per Medicare high-risk patient $20M Annual incremental revenue gain $2.4M P4P penalty reductions

Mortality 47% Expected Medicare risk increase Acute myocardial infarction (AMI) mortality ranking increased from 77th percentile to

94th percentile Heart failure (HF) mortality ranking increased from 97th percentile to 99th percentile

Hospitals have been inundated with numerous and sometimes conflicting methodologies during the transformation from a fee-for-service program to a value-based program. Clinical documentation is the bridge between the care provided and quality measures. Thus, accurate clinical documentation is paramount. Documentation is often incomplete for the following reasons: omission of chronic conditions, missing diagnostic laboratory tests and vitals and evolving documentation policies. Accurately reflecting outcomes requires fully recording patient and treatment data, including any complications or comorbidities (CCs) and/or major complications or comorbidities (MCCs). Improved coding leads to more accurate patient classification and risk adjustment while optimizing quality reporting and reimbursement. As an added benefit, determining the correct Medicare diagnostic related groupings (DRGs) can help maximize revenue per encounter.


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