Ease the burden of case reviews on your revenue cycle, HIM and CDI teams. VISION’s efficient, multi-dimensional approach instantly pinpoints clinical cases with high revenue potential or compliance opportunity. Its unique selection strategy, grounded in comprehensive CDI insights, DRG methodology, and clinical knowledge, automates case flagging for expert review. This ensures thorough algorithmic analysis and targeted expert evaluations, optimizing reimbursements and protecting against payer denials.
Our benchmarking transcends expectations, meticulously comparing hospital cohort averages to uncover hidden CDI and coding opportunities in primary and secondary diagnoses—this relentless pursuit of accuracy results in greater compliant reimbursement.
Our proprietary library of complex CDI and coding rules is at the core of VISION. Our proprietary algorithms leverage expert-created rules based on clinical knowledge in combination with encounter data characteristics, review outcomes, and knowledge of changing coding rules/guidelines. Our vast knowledge base enables the scoring engine to precisely target smaller clinical populations, identifying opportunities efficiently.
VISION compares actual vs expected case characteristics based on the assigned MS-DRG. It encompasses a range of factors such as length of stay (LOS), charge detail, discharge disposition, and more.
Compares coded diagnoses with the services provided. Our extensive library is continuously growing and utilized by 20 of the largest health systems.
Customized rules are tailored to individual hospitals, physicians, or coders, leveraging historical performance data. We develop specific rules for each customer based on insightful historical findings.
Identifies diagnosis codes that could serve as more suitable primary codes or potentially valuable codes when sequenced lower.
VISION approaches case prioritization dynamically and continuously identifies DRGs, codes, and other key factors that drive greater findings. The system adjusts its targeting approach to ensure that every review is effective so valuable resources will only be used on cases of greatest value.
