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Outcomes Measurement, Benchmarking

Measure and benchmark clinical outcomes.

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Outcomes matter. So we've created a whole new way to measure & benchmark them.

Outcomes really do matter and now they can be accurately measured. Leverage risk-adjusted patient outcomes and metrics for understanding and comparing treatments for an increasing number of health conditions.

To view outcome scores for individual DMARDs, contact us to get started.

Learn more about using OM1 for:

Real-World Evidence
Outcomes Management for Providers & Partners
Patient Reported Outcomes (PROs)
Value-Based Care
Outcomes-Based Contracting

Standardized Outcomes

OM1 is the Principal Investigator for the U.S. Agency for Healthcare Research and Quality (AHRQ) Outcome Measures Framework (OMF), a project aimed at harmonizing existing outcomes measures and producing new sets of outcomes measures across more expensive health care conditions.

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Related Resources

White Papers

Improving Performance under Bundled Care

The field of medicine is changing rapidly due to two major disruptions – the application of artificial intelligence, such as machine and deep learning and the shift from fee-for-service to value-based payment models. These innovations, which are occurring simultaneously, are fundamentally altering how data are used and how care is provided. To survive in this[…]

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Webinars

Shifting the Paradigm (and Prince)on Integrated Evidence Generation

MAPS Webinar 9/15/23 Listen tot he full webianr >> Clinical research is typically costly for sponsors and burdensome for providers and patients. New methods and approaches, such as integrated evidence generation using real-world data networks and automated study platforms, are accelerating the path from start-up to read out.

Improving Patient Outcomes: AI-Based Phenotyping for Diagnosis, Treatment, and Clinical Trials

Register to watch>> Join a panel of OM1’s clinical experts in cardiometabolic disease, immunology, and mental health as they explore how Artificial Intelligence (AI) can find phenotypic patterns and unlock insights hidden in real-world data. Extracting as much information as possible from real-world datasets is essential for understanding the complete patient journey. Subtle patterns in[…]

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