FAIR Health Serves Clients with Quality-Related Studies

November 17, 2022

FAIR Health offers custom analytics, based on our data, that measure and compare healthcare quality in specific scenarios of interest to clients. Organizations that have used these quality-related studies have included health plans, health systems, medical associations, research institutes and nonprofits working with state agencies.

FAIR Health can study many different quality measures, including all-cause 30-day readmissions, condition-specific readmissions, procedure-specific readmissions, emergency room rates, surgical complication rates (e.g., pneumonia, surgical site bleeds and wound infections), surgical revisions, low-value services, repeated services, hospitalization rates and mortality measures. FAIR Health also can perform preventive care analyses, screening analyses, utilization and cost analyses and condition escalation analyses. Quality-related studies are often bundled with other analyses, such as statistical analyses, evaluative analyses, benchmarks and comparison studies, among others.

Quality-related studies can be used for many purposes, such as to assess the quality of a health system’s providers or a health plan’s provider network based on procedure types. They can be used to measure the efficacy and quality of a new program, such as a State Innovation Model implementation, or the efficacy and quality of Accountable Care Organizations in various types of hospitals. They can be used to assess the uptake of new screening measurements and their quality outcomes.

FAIR Health’s quality-related studies are valuable to clients for a variety of reasons. For example, they can help a facility or health system improve its care and understand the quality outcomes of its patients after they leave the facility or health system. They can inform government programs or health plans of the quality, efficiency and efficacy of new innovation models introduced into various service areas or provider communities. They can assist in informing the use of newly introduced screening mechanisms or new surgical techniques and whether they are useful and effective.

FAIR Health President Robin Gelburd stated: “We are pleased to offer quality-related studies to our clients in order to help them better understand patient outcomes and evaluate innovative new models of care, in addition to other insights that could be garnered. Such studies are among the many types of custom analytics we can tailor to specific client needs.”

For more information about quality-related studies or other custom analytics offered by FAIR Health, contact FAIR Health by email at info@fairhealth.org or call 855-301-3247, Monday through Friday, 9 am to 6 pm ET.