Resources
5 Results (showing 1 - 5)
Results sorted by posted date (oldest first)
Results sorted by posted date (oldest first)
Posted 3/25/2021 (updated 4/5/2024)
Documentation, Coding, and Billing for SUD/OUD via Medication-Assisted Treatment (MAT): A Rural and Community Health Focus
The presenter will outline the steps needed to effectively document, code, and bill for services including screening for SUD/OUD and providing care during the induction, stabilization, and maintenance phases of MAT. Individual state Medicaid issues are too numerous and will not be specifically referred to on a state-by-state basis.
Posted 5/25/2021 (updated 4/10/2024)
This webinar will introduce grantees to the RCORP evaluation portal and review how various data and charts can inform sustainability strategies.
Learning objectives:
Learn how to access and utilize the RCORP evaluation portal
Understand what data in the portal can inform sustainability strategies
Posted 11/11/2021 (updated 4/3/2024)
In these challenging times, some of our most important problems are intractable. Examples include health inequity, hybrid workplaces, systemic racism, maternal and child health, and a trained and available workforce. In this session, presenters introduced tools to help you lead, even when solutions are beyond your control. They applied those tools to help you recruit and sustain a workforce for tomorrow.
Posted 6/6/2022 (updated 3/27/2024)
This session highlighted over a decade of Community Apgar research and its implementation supporting community development for physician recruitment and retention in rural FQHCs and CAHs. This presentation also included ongoing implementation of the program through collaboration with 3RNet and the use of a “Factors Book” which can highlight community assets and focus recruitment efforts to better meet community needs.
Posted 11/11/2022 (updated 3/27/2024)
OMNI Institute, in partnership with the JBS RCORP-TA team, created the 2022-2023 RCORP-TA Data Learning Collaborative (LC) for grantees to come together and share knowledge, talk through challenges, and build relationships with one another. This LC will build upon the foundation established in the prior 2022 RCORP-TA Data Learning Collaborative.