EconSys has been contracted by NIH Civil Program and the Office of Equity, Diversity, and Inclusion (EDI) to conduct an Equal Employment Opportunity (EEO) Trend and Barrier Analysis Study. The Trend and Barrier Analysis Study is a five-year project involving a series of reviews and analyses that will aid the agency in becoming a more diverse, equitable, inclusive, and accessible organization. The project requires quantitative statistical analysis to identify the scope and specifics of the underrepresentation of diverse groups, and several types of qualitative analyses to understand the factors contributing to lack of diversity and to develop solutions.
Problem: ASL needed a more effective process for notifying congressional offices of grant awards made by the Department and facilitating technical assistance regarding grants to members of Congress and their staff.
Our Study Design: EconSys worked with ASL to define the needs of the Department and design a solution which provided an efficient and effective method of facilitating electronic information transmission, problem solving, and tracking of issues and inquiries from members of Congress and their staff.
Results: Two applications were created to provide the benefit of timely electronic notifications, a more efficient work process, and a centralized tracking location. EconSys hosts and maintains these applications and provides regular updates and support for them.
Problem: Our teaming partner, the Hay Group, needed a more efficient method to document the review of thousands of Medicare Advantage (MA) and Prescription Drug (PD) plans for CMS.
Our Study Design: Our team worked closely with the Hay Group to map the review process including identifying levels of permission and control, required and option data inputs, and development of detailed files to be uploaded to CMS’ system.
Results: We developed an online tool for the Hay Group to collect bid review data, alert managers to new bids to review and approve, and create files that were compatible with upload requirements for CMS’ online system. Our tool reduced the amount of time for review and approval of bids and created an efficient process that limited mistakes and errors.