The gold standard in healthcare appropriateness measurement

Novel, data-driven metrics rooted in clinical wisdom










Over $760 billion is wasted in US healthcare each year*

*Shrank, WH et al. Waste in US Healtcare System: Estimated Costs and Potential Savings. JAMA. 2019

*Shrank, WH et al. Waste in US Healtcare System: Estimated Costs and Potential Savings. JAMA. 2019

Overtreatment and low-value care are two leading contributors to the problem.

GAM is a consortium of physicians creating novel metrics of healthcare quality. Measuring clinical waste has emerged as a leading priority for health systems, health plans, self-funded employers, and data analytics companies. Physician input to guide sound measurement is critical to achieving meaningful and actionable results.


Appropriateness measures

Access our library of appropriateness metrics which houses the background, definition, logic, thresholds, and supporting literature for each metric.

Organizations use the Metric Dashboard to import our appropriateness metric library into healthcare databases to produce detailed reports on individual physician practice patterns.

Hundreds of appropriateness metrics covering 30+ specialties

GAM Vision is a physician profiling analytics tool that allows healthcare organizations to gain insights on physician quality based on GAM's proprietary appropriateness of care and pricing measures. We built GAM Vision to make our appropriateness data more accessible and easier to use for different stakeholders across the healthcare spectrum.

GAM Vision allows health systems and physician groups to gain insights for meaningful quality improvement efforts. GAM Vision also enables health plans, employers, and healthcare technology companies to make more informed care navigation and healthcare purchasing decisions.

*This information can be accessed via our online portal or API.


GAM for Hospital Systems and Physician Groups

We partner with hospital systems and physician groups to standardize quality. With the advent of the modern multi-hospital health systems, monitoring quality across a group of hospitals can be challenging. We notify hospital leadership of outlier practice patterns to help fuel internal quality improvement efforts with meaningful data at the individual physician level. Addressing outlier physicians may not only benefit patients, but it can also avert litigation associated with excessive or inappropriate care. Given the future of value-based health care reimbursement and new physician eMeasures of quality, GAM metrics can help prepare a health system for a new payment landscape.

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GAM for Healthcare Technology Companies

We partner with some of the largest healthcare IT and analytics companies in the United States. Our partners build our metric library into their products to show hotspots of clinical waste at the individual provider level. Extreme outlier physician practice patterns exist and are now measurable.

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GAM for TPAs

We partner with third party administrators to provide powerful information to patients on areas of inappropriate, hazardous, and expensive medical care. Patient navigation and steerage, powered with the right data, represent a new opportunity to navigate an otherwise challenging health care ecosystem, where high and low quality medical care can be nearly impossible to discern. Navigation away from a single low-value provider could have significant quality and cost implications.

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GAM for Health Plans

We partner with some of the largest commercial and government payors in the United States to help identify physicians with outlier practice patterns. This information can be shared back to physicians to facilitate data-driven behavior change to decrease over-utilization. It can also be used to design or augment preferred, high-value, provider networks.

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GAM's clinical consortium has an intensive internal process to identify and curate meaningful measures of quality and appropriateness.


Clinical Input

GAM has conducted thousands of focused interviews to identify new areas of inappropriate care and over utilization. This labor intensive process enables GAM to bring clinical wisdom to you.


Intensive Literature Review

Our physicians actively review new research studies that identify low-value care.


Data Analytics

New measures are validated with rigorous scientific methodology applied to big data.


Approval Process

Each of our measures must undergo an extensive approval process before being published to our partners.


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