Model PDPM reimbursement & data collection with your SNF team.
UPDATED WITH FY 2024 PPS RATES
The PDPM Analyzer is an innovative tool that promotes accurate and optimal reimbursement by predicting Medicare A PDPM rates pre-admission, tracking the Medicare A rate during the stay and can be used as a tool to assist in determining when an IPA assessment would be beneficial. This tool is preloaded with the FY 2024 PPS rates. Complete the form to request the tool.
Model and track PDPM reimbursement rates
Assure accurate data collection methods
Review patient classification prior to MDS submission
Validate potential impacts of an optional IPA
Download the PDPM Analyzer
A DATA-DRIVEN TOOL DESIGNED TO
model PDPM reimbursement
The PDPM Analyzer allows you to classify a skilled Medicare Part A patient into a PDPM Case Mix Grouper (CMG) for each of the 5 components with your Interdisciplinary Team. Using the digital tool, you will identify the Case Mix Index (CMI) for each and the Case Mix adjusted per diem rate for each component will be automatically calculated based on your facility CBSA (Urban or Rural). A Total Case Mix Adjusted Rate will be calculated for your reference.
STRATEGIES TO GUIDE ADMINISTRATORS & STAFF TO
simulate new data collection methods
In order to optimize the plan of care for a patient, Medicare Part A patient classification under PDPM should be completed as early as possible. The tool was designed to allow interdisciplinary SNF teams to practice and model data collection for proper classification so that you are able to assure accurate reimbursement.
The contents of this toolkit are assembled and customized for each SNF to allow leadership and interdisciplinary teams to model reimbursement and simulate new data collection requirements to optimize outcomes under PDPM.
The PDPM Analyzer Includes:
- Interactive modeling tool, loaded with facility-specific CBSA data
- Clinical category mapping tool
- Guides for coding requirements for accurate reimbursement
- GG Function Score Calculator
- PDPM references