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This project aims to create a user-friendly, modern product to streamline the creation, submission, review, and approval of Medicaid Advance Planning Documents and their associated contract documents.
The Beneficiary Claims Data API (BCDA) enables Accountable Care Organizations (ACOs) to retrieve Medicare Part A, Part B, and Part D claims data for their assigned beneficiaries.
As patients move throughout the healthcare system, providers often struggle to gain and maintain a complete picture of their patients’ medical history. Data at the Point of Care (DPC) aims to fill these gaps in care by providing Medicare Fee-For-Service claims data to providers in a structured and standardized format.
A developer-friendly, standards-based API that enables Medicare beneficiaries to connect their claims data to applications, services and research programs they trust.
A set of schemas describing a data format (encoded as JSON) that lists which health care providers and drug formularies are covered by Qualified Health Plans (QHPs) on the federal health insurance marketplace.
fqm-execution is a library that allows users to calculate FHIR-based electronic Clinical Quality Measures (eCQMs) and retrieve the results in a variety of formats
A space for states, CMS, and vendors to learn, share, and contribute information about the Medicare Enterprise Systems Certification process and its related artifacts.
Code used to generate CMS' interim T-MSIS Analytic Files (TAF). These new TAF data sets exist alongside the Transformed Medicaid Statistical Information System and serve as an alternate data source tailored to meet the broad research needs of the Medicaid and CHIP data user community.
The macpro-mako project, a.k.a. MAKO, a.k.a. Micro, is a redesign of MACPRO Onemac. The mission to be a modern submission and review portal for select CMS data remains the same, but the architecture is different in some important ways.
The Poplin project seeks to develop a cohesive, free, open-source set of application programming interfaces (APIs) for states to use in developing a modern, modular Medicaid IT system.
MCR is the CMCS MDCT application for collecting state data related to Managed Care plans and performance. The collected data assists CMCS in monitoring, managing, and better understanding Medicaid and CHIP programs.
This repository publishes the county-zipcode crosswalk data used for determining the providers eligible Extreme And Uncontrollable Circumstances Hardship.
CARTS is the CMCS MDCT application for collecting state data related to coverage of CHIP state plans on an annual basis. The collected data assists CMCS in monitoring, managing, and better understanding Medicaid and CHIP programs.
The EQRS Design System shows the patterns and components that make up the EQRS application. These patterns and components provide a unified language and consistent look and feel when designing applications within the our ecosystem.
MFP is the CMCS MDCT application for collecting state data related to the Money Follows the Person program. The collected data assists CMCS in monitoring and managing grantee progress and identifying challenges and improvement opportunities.
QMR is the CMCS MDCT application for collecting state data for related to measuring and quantifying healthcare processes and ensuring quality healthcare for Medicaid beneficiaries. The collected data assists CMCS in monitoring, managing, and better understanding Medicaid and CHIP programs.
SEDS is the CMCS MDCT application for collecting state data related to Medicaid and CHIP quarterly enrollment data on a quarterly basis. The collected data assists CMCS in monitoring, managing, and better understanding Medicaid and CHIP programs.
The policies, procedures, RFCs, and more for the Data and Analytics Strategy Group (DASG) at the Centers for Medicare and Medicaid Services' Office of Enterprise Data and Analytics (OEDA).
Web page that takes in two eCQM packages, re-orders the CQL in the second one to match the first (based on edit distance), and displays the diff between the two versions.
This project demonstrates a user-friendly, accessible application that leverages Generative AI (Large Language Model) to interpret and respond to user queries about the sample dataset and other uploaded documents.
The Income Reporting Playbook will offer guidance and templates to improve the client experience of providing income during benefit applications and renewals. It is currently being developed by Nava in conjunction with USDS and DSAC.
HCBS is the CMCS MDCT application for collecting state data related to Home- and Community-Based Services (HCBS) programs and performance. The collected data assists CMCS in monitoring, managing, and better understanding Medicaid and CHIP programs.