An Analytic Powerhouse
OFMQ has a team of clinicians, statisticians and researchers with more than 91 years of combined career experience. We provide a full range of statistical analyses that are used to help guide decisions related to improving quality and delivery of healthcare in the United States.
OFMQ’s team of data analysts has extensive experience using sophisticated quantitative, analytic techniques. Using methods that range from simple bivariate analysis to complex multivariate hierarchical modeling, our team is trained to apply the appropriate analytic strategy. In addition, our team has consistently demonstrated the ability to translate complex algorithms into functional, repeatable analytic programs.
OFMQ’s analytic team is highly skilled at summarizing and aggregating open-ended qualitative data while also allowing the team to tease out nuances of each issue identified – resulting in more actionable recommendations and findings. On multiple successful projects, our analysts have used qualitative analysis to both generate hypotheses for quantitative analysis and to enrich the explanation and interpretation of quantitative results. Leveraging the expertise garnered through years of experience, we offer insight to key issues and solutions to common barriers that will allow for immediate process improvement.
OFMQ analysts have experience working with a wide variety of healthcare data sources that require diverse management strategies. We have in-depth knowledge of the structure and function of databases from Centers for Medicare & Medicaid Services (CMS), Veterans Health Administration and private insurance companies. Whether a new project includes several dozen observations or several million observations, we will implement abstraction and management strategies that are proven effective, efficient and secure.
OFMQ’s analytic team has unrivaled expertise when analyzing healthcare disparities. We have developed an extensive analytical framework that:
- Assesses and tracks the trends of health disparities;
- Provides general methodological applications to other types of health-related topics;
- Assesses origin for health disparities by applying appropriate statistical methods that partition the within-group and the between-group components of certain types of disparity such as race/ethnicity.
In addition to over 40 years of experience contracting directly with Centers for Medicare & Medicaid Services (CMS), OFMQ has nurtured strong collaborative relationships with academic institutions nationwide. These collaborations have resulted in dozens of publications in prestigious peer-reviewed journals such as the New England Journal of Medicine and the Journal of the American Medical Association (JAMA).
We offer business analytics to optimize cost effectiveness and efficiency, identification of high-risk patient groups and predictive analytics to target early interventions. Using innovative techniques, OFMQ continues its mission of supporting healthcare providers in using data to drive quality improvement.