Clinical Intelligence (CI) approaches Clinical Variation through a “Define-Measure-Analyze-Implement-Control” process. We support our partners in identifying opportunities to reduce direct costs through an examination of areas with high variation in those costs. These Key Performance Indicators (KPIs) identify several key target areas for further investigation and implementation to provide powerful, new insight into clinical variation in direct costs at any level of granularity within a DRG or procedure.
Why Choose CI?
Our systematic process involves organizing and analyzing data in a meaningful way and identifying healthcare practice patterns and services that result in overuse, underuse and waste.
- Leverage both the hospital costing and patient level data. Create meaningful associations. Drill both horizontally and vertically into the data to uncover and illuminate “root cause” unwarranted variation.
- Risk-segment the data to allow for the removal of outliers. This creates a trusted environment whereby physicians can participate in the analysis and the plan to reduce variation.
- Identify “On” and “Off” protocol practices and work to change practice patterns where necessary. Adopt the “gold-standard approach” with physician buy-in and participation – this is NOT cost-cutting medicine.
- Select a Project Champion – bring trusted data (a single source of truth) to the conversation; create data governance, committee charters, crisp work plans and interdisciplinary teams (physicians and administration working together).
- Measure outcomes, align incentives by locking down the baseline and monitoring ongoing performance.
What level of confidence do you have in your current costing methods?
- LOW CONFIDENCE LEVEL
- Ratio Cost to Charges (RCC)
- High Level Departmental
- Provides Directional Analysis
- GOOD CONFIDENCE LEVEL
- Relative Value Units (RVU)
- Detailed Costing for Labor, Supplies and Equipment
- Provides Service Line P&L
- HIGH CONFIDENCE LEVEL
- Advanced Cost Accounting (ACA)
- Detailed Costing with Clinical Subsystem integration
- Most Suitable for Clinical Variation Studies
Using Data Analytics to Transform Healthcare Management and Reduce Clinical Variation
Clinical Intelligence was featured in the May 2017 Healthcare Financial Management Association’s (HFMA) Early Edition of HFM Magazine for its article, “Using Data Analytics to Transform Healthcare Management and Reduce Clinical Variation.” The article, which highlights the healthcare industry’s shift from fee-based to value-based care and the critical concern to employ data analytics to improve performance due to that shift, was co-authored by CI’s Founder and President Laurie Jaccard, RN, and Sharon Carroll, FCAS, Director of Analytics and Actuary for CI.
CI’s tailored business intelligence solution, ClinView®, helps leaders drive results through a systematic and strategic approach based on data, not speculation. CI’s best practices for driving financial impact due to reducing Clinical Variation include enabling population health management through comparative analytics as well as leveraging administrative and clinical data from disparate sources into one, singular platform resulting in objective decision support within a clinically-integrated delivery model.