keyboard_backspace Health Economics & Outcomes Research Health Economics & Outcomes Research for Collaborations
When you have an opportunity to utilize real-world evidence and data-driven insights, you can better design and test innovative solutions for your patients and members. We facilitate real-world evidence collaborations between life sciences and payors for the purpose of improving health outcomes, identifying and addressing unmet medical needs, and improving quality, affordability, and accessibility in healthcare.

Collaboration is key to closing the many gaps in evidence that exist in healthcare today. As a payor-owned, independently operating research company, we facilitate a direct dialogue between life sciences and payors by way of highly-visible and transparent research collaborations. We identify areas of mutual evidence needs and leverage our expertise to design, measure, and test solutions to issues that are aligned between both parties. As payors and product innovators gain insights into high-interest areas, together, both stakeholders can have a remarkable impact on the health system.

White Paper

The Value of Dental and Medical Benefit Integration

Using Data and Analytics to Define and Quantify Value

We provide analytic support and data-driven insights that inform the development and evaluation of value-based agreements to share risk and reduce cost burden through rigorous evaluation for better patient outcomes.

How do we do this?
Project Management
Helping deliver full service project management under the supervision of formally trained PMs who have hands-on experience running prospective and retrospective research studies. Our project managers are the primary point of contact for our clients, and our collaborative teams are built to the size, scope, and duration of each project to deliver study needs within the study requirements.
Literature Reviews
Establishing the current evidence by conducting searches of the published peer-reviewed literature and following procedures consistent with Effective Public Health Practice Project (EPHPP) guidelines. Through a systematic process we identify, appraise, collect, and describe the most current data in a systematic manner, summarized in a full report of key findings to provide background support for your study or submission.
Data Management
Working with high-quality and well-organized data are prerequisites to rapid and reliable hypothesis testing. With an extensive background in large-scale and long-term studies, and management of claims data, we offer clients unparalleled data management services. Our data managers work collaboratively within the project teams, and have a keen understanding that the data they manage are more than just numbers.
Large and Complex Database Analytics
Providing deep database expertise with medical claims, pharmacy claims, and laboratory results in collaboration with our data providers helps to ensure the validity and quality of the raw data. Scientific expertise integrating and harmonizing diverse data types and sources gives us an unparalleled understanding of the nuances of the data assets we manage.
Machine Learning
Providing supervised machine learning to deliver stronger studies with more reliable results is one way we can improve the quality of healthcare. Our team of research experts build predictive models in multidimensional electronic data to identify health outcomes and reduce bias from misclassification errors. We validate claims using medical records, disease registries, patient and provider surveys, focus groups, and clinical oncology data.
Patient and Provider Outreach
Establishing a comprehensive sampling frame based on provider characteristics, patient eligibility status, prescription fills, and diagnoses or procedure codes from medical claims and laboratory test results. Our team of experts has deep familiarity with an extensive administrative claims repository to facilitate complex research designs. We are uniquely able to connect clinical and claims data and reach back to physicians and patients within these samples in ways others cannot.
Medical Record Review and Abstraction
Establishing a more complete picture of the de-identified patients in your analysis with our ability to conduct in-depth medical record review and abstraction. We start with your objectives for the review and apply a standard, step-by-step methodology documenting the details that can provide important information for your study or the development of healthcare recommendations and guidelines.
Survey Based Research
Delivering actionable evidence to better guide current disease management and to assist in the development of new therapeutic or biomedical technologies. Through structured, semi-structured, or cognitive interviews and focus groups, we provide access to a level of patient and clinician-reported information not found in other large-scale sources of health data including medical and pharmacy claims, paper-based and electronic medical records, and disease registries.
Contact us for more information
on our Collaborations services.