Resources
6 Results (showing 1 - 6)
Results sorted by updated date (newest first)
Results sorted by updated date (newest first)
Posted 4/28/2021 (updated 4/10/2024)
The National CLAS Standards are intended to advance health equity, improve quality, and help eliminate health care disparities by establishing a blueprint for health and health care organizations to:
Principal Standard: Provide effective, equitable, understandable, and respectful quality care and services that are responsive to diverse cultural health beliefs and practices, preferred languages, health literacy, and other communication needs.
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 3/25/2021 (updated 4/5/2024)
Posted 1/26/2021 (updated 4/4/2024)
This webinar was a continuation of the previously scheduled Grant Writing Strategies Webinar- Part 1. Pam Baston provided more practical examples of grant writing strategies and techniques from many successful proposals.
Posted 1/12/2021 (updated 4/4/2024)
During this webinar, Pam Baston, Technical Expert Lead with JBS International, Inc., provided practical examples of grant writing strategies and techniques from many successful proposals. This session included tips for: Reviewing the funding opportunity application, Creating the template and action list, Assembling a team & Creating responsive and competitive proposal sections
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.