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Connecting to CMS SNF

This guide provides a step-by-step approach to effortlessly connecting CMS SNF with skyData. The CMS SNF Connector integrates CMS Skilled Nursing Facility data into skyData’s Lakehouse, ensuring compliance, efficiency, and real-time insights by ingesting data via API calls, storing it in azure blob storage, and processing it through Databricks into Delta Lake via Unity Catalog. With Databricks as a fully managed warehouse, SNFs gain real-time insights, personalized reports, and proactive alerts to optimize patient care.

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To import data using the CMS SNF connector

Follow these steps to create and configure a new dataflow for the CMS SNF import connector:
  1. Navigate to Dataflow > Imports.
initiate setting up dataflow for cms snf
  1. Click New dataflow as indicated by an arrow.
The Set dataflow name page appears. set dataflow name for cms snf
  1. Enter the desired name for the dataflow in the Name text field.
  2. Click Next to proceed.
The Choose connector page appears. search and select cms snf connector

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Add CMS SNF connector

  1. On the Choose Connector page, use the Search feature to locate and select the CMS SNF Connector.
  2. Enter the Display Name for your dataflow in the provided text field.
  3. Optionally, add a Description in the designated text area.
key in dataflow name
  1. Click Next to proceed.
The Configuration page appears. cms snf credentials are autofilled

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Connect to the CMS SNF account

  1. The credentials gets auto populated on the Configuration page.
  2. Click Connect.
connect cms snf with skypoint ai Once the connection is established, the connector can be used to import data from CMS SNF tables.
  1. Scroll down to the Table Details section, select the checkboxes for the tables you wish to import, and use the dropdown menu to label them as either Data or Metadata.
select snf table to import data to skypoint ai
By default, all tables in the Table Details section are selected. You can choose to import only specific tables that are relevant to your data processing needs. For example, to import customer data, select tables containing details like name, email, address, and contact information.
  1. Click Save to apply the changes.
CMS snf dataflow saved on skypoitn ai Congratulations ! for saving the CMS SNF connector dataflow, which appears on the Dataflow > Imports page.

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Run, Edit, and Delete the imported data

Once the table is imported, you can execute, modify, and remove the imported table from the Dataflow. Follow the below steps:
  1. Go to the Dataflow > Imports page.
seamless execution of cms snf dataflow on skypoint ai studio
  1. Select the horizontal ellipsis under the Actions column and do the following:
  1. Click Run to execute the dataflow. Once the execution is successful, the data pipeline status will update to Completed, as illustrated in the figure below.
data import from cms snf to skypoint ai
In the Dataflow’s Run History Description, you can view error messages related to data import failures from a data source. Additionally, you can check the status, start time, and end time of the data pipeline execution.

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Next step

After completing the data import, start the Master Data Management (MDM) - Resolve process to create a single, unified view of the data. With Skypoint MDM, you can ensure that your data is accurate, consistent, and reliable, making it easier to use for business processes, analytics, and reporting.