The Challenge:
Today’s tools fail to adequately take case-mix into account when benchmarking performance. Nor do they enable drill-downs to the granular elements driving cost and quality. Physicians rightly observe that their ‘patients are different’ and the insights provided to them today are not actionable.
Our Approach:
Clarify addresses the actionability challenge by leveraging a powerful machine learning engine to deliver precisely case-mix-adjusted assessments of utilization and quality metrics that impact internal hospital costs and reimbursements. We give hospital leaders a platform to more thoughtfully engage clinicians on addressable variation, accelerating action and bottom-line impact.
Our Solution:
- Evaluate performance on hundreds of utilization metrics that drive hospital costs on inpatient care, such as length-of-stay for general and critical care beds, pharmacy, supply and device use, imaging, and lab testing
- More rigorously benchmark performance on quality metrics, including those reported to Medicare and drive pay-for-performance bonuses and penalties
- Benchmark performance to any provider in the country, powered by Clarify’s comprehensive Medicare claims dataset and 110M+ lives of national commercial and Medicaid claims data
- Compare performance to expected values specific to one’s exact patients; leverage the superiority of this case-mix adjustment to engage clinicians in lasting change
- Free yourself from black boxes – transparently interrogate performance at any level of care – hospital, physician, or specific patient type – as well as by service line or specific DRG.
- Integrate your billing and clinical data with our platform to provide even more up-to-date performance assessment, more granular interrogation of utilization drivers, and grouping to specific clinical factors (e.g. lab values, test results)
- Automate variation-related opportunity identification and impact assessment across your enterprise to easily prioritize areas for clinician engagement and intervention
Our Impact:
Pinpoint and validate addressable variation driving ~8-15% of direct inpatient costs
Eliminate addressable variation totaling $80-150m per year for a $1B revenue system.
Increase analyst productivity 2-3x and reduce duplicative data spend
Intuitively and flexibly interrogate massive data sets in real-time. No longer buy the same data multiple times, laboriously run SQL queries to organize it, or create pivot tables for analysis. Analysts are freed to generate insights vs. processing data.
Enable a clinician-led transformation culture
Assess performance in a way that physicians trust by benchmarking how one provider would have performed with another’s exact patients.
