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ArborMetrix’s combination of clinical insight and statistical science powers the most strategic and flexible solution your organization can deploy to measure clinical performance and efficiency
Why our solution is so different
ArborMetrix provides the industry’s most flexible, efficient and scientifically rigorous database platform and analytics engine. Our diverse range of current clients, including health systems, collaborative improvement programs, and professional societies use our solution for data collection and integration, performance feedback, MOC IV compliance, clinical decision support, surgeon skill ratings, and patient engagement.
Unlike other healthcare analytics companies, we designed our solution to engage and inform stakeholders within the medical community — from practicing physicians through C-suite officers — with clinical evidence to quickly identify and act upon those opportunities which are ripe for meaningful quality improvements and cost savings.
The company was founded by Dr. John Birkmeyer (Chief Scientific Officer), an expert in clinical performance measurement and strategies for achieving large scale quality improvement. ArborMetrix’s co-founders—Dartmouth economist Douglas Staiger and health services researcher Dr. Justin Dimick—are also leaders in the science of performance measurement and risk adjustment. Their extensive and ground-breaking research provide the foundation for our risk- and reliability-adjusted methodology unique to our analytics engine.
Unlike one-size-fits-all solutions, we work with your group to establish the specific measures most important to you, and to configure the platform for optimal clinical relevance and quality improvement. We tune our algorithms to reflect the specific nuances of specialty and measures, so your initiative’s results are always yours.
ArborMetrix integrates with your existing data sources (EMR, disease registries, etc.) to securely collect data electronically. ArborMetrix also provides support for other modalities to capture critical information, such as patient Webentry and mobility, that may not reside in your existing systems.
End-users can easily view stratified reporting by disease category, cancer stage, race, gender and ultimately drill-through to individual patient records. Users can easily toggle between physician, site and practice-level reporting. At any point, end-users can export all or some of their provided patient data. Robust ad-hoc query tools support rapid learning and enable practices to analyze their own data.
Because its analytics engine is designed to build and implement multivariate statistical models, we provide clients with tools for real-time clinical decision support. Our built-in analytics allow for decision support, such as providing patients with personalized, empirical information about risks and benefits of therapy and clinicians with evidence-based treatment recommendations.
Deployment & On-Boarding
As a hosted- turnkey solution, the ArborMetrix platform is designed for mass deployment, facilitating rapid onboarding of your physicians and hospitals. Our professionals assist with adoption management and strategies to help you achieve the maximum benefit from your initiative.
Register patients at the time of initial treatment, obtain informed consent, and ascertain information about health status and symptoms. Automate patient follow-ups, patient education, and provide access to evidence-based decision aids. Includes support for integration to 3rd party decision support systems.
When sample sizes are small, as is often the case in surgery, it is a challenge to determine if outcomes are due to chance or true differences in quality. We meet this challenge with special real-time reliability adjusment methods to isolate “signal” and reduce “noise” based on statistical techniques that were pioneered by our founders (Dimick, Staiger, & Birkmeyer, 2010).
Data is processed real-time through scientifically and clinically validated statistical models that explicitly evaluate all factors related to each outcome. We have introduced several innovations that automate the risk-adjustment process, building this capability into the software s for real-time access to risk-adjusted outcomes data.
Surgical Video Analysis
This revolutionary offering provides experts with video-based tools that unleash decades of experience in surgical quality improvement, consulting, and coaching interventions to help surgeons improve their operative skill, technique, and perioperative process. As described in the New England Journal of Medicine, this process is highly predictive of clinical outcomes and is critical as hospitals evaluate surgeons for new positions, or conduct peer review of surgeons who are struggling.