Skip to main content

New facility acquisitions: Preventable SPARCS data scenarios

People discussing SPARCS compliance in a board room.

Many healthcare organizations overlook the importance of mandatory data submissions to New York’s Statewide Planning and Research Cooperative System (SPARCS) when acquiring a new facility. Accurate, up-to-date SPARCS data can give the organizations the most operational horsepower throughout the acquisition process. Accurate SPARCS data ensures compliance, provides guidance and prevents costly delays in expansion plans. 

This blog will cover two common SPARCS compliance scenarios* and how they impact facility acquisition. We’ll also highlight how using a data submission platform, like DataGen’s SPARCS submission tool, UDS (UIS Data System™), can aid the process.  

Scenario 1: Large hospital system acquires a rural facility 

Overview 

A larger hospital system has acquired a new rural facility. The rural facility has one SPARCS coordinator who handles claims in its healthcare information management department. The rural facility is behind on its SPARCS data submissions, which is causing the hospital to be out of compliance. 

The larger organization has multiple people in its HIM department. Its SPARCS coordinators use an established process to work on claims and are SPARCS compliant. But, with the addition of the rural facility, more cases are going to come into the larger organization’s operating system.  

Challenge 

With a higher caseload from the addition of the rural facility, the larger organization will need to address smaller case counts in different data categories. They'll have to figure out role duplication and ensure consistent processing and handing of the rural facility’s claims.  

The larger organization will also need to tackle any historical data delinquencies the rural facility may have. Remediating the data could take considerable resources. For example, system migrations may have orphaned data, so additional projects to rectify this would be added to the HIM department's current workload. It's also costly for the organization and could delay expansion.  

Solution 

What’s the quickest way to get the rural facility SPARCS compliant? If the larger facility uses an automated SPARCS data submission tool like UDS, it's easier to onboard the rural facility to existing procedures and standards.  

"With UDS in place, the larger organization could more easily achieve consistency with coding standards," says Kevin Tedesco, software development director at DataGen. "The UDS software makes it easy to quickly identify problematic coding patterns at the facility being acquired. For example, we could easily see the records that are failing because the rural facility forgot to fill out the race and ethnicity elements, POA Exempt statuses, or struggling with National Drug Code data acceptance."

Scenario 2: Out-of-state organization acquires a New York state facility 

Overview 

An out-of-state organization is trying to acquire a New York state facility. The out-of-state organization isn't fully aware of New York state requirements.  

Challenge 

The out-of-state organization needs to become familiar with SPARCS compliance rules and guidelines and other New York state regulations, like the Certificate of Need implications and data reporting compliance laws. 

Solution 

The out-of-state organization can use UDS to fill any gaps while expanding its footprint.  

"If you're an out-of-state system that acquires an in-state facility that uses UDS, it's a seamless transition. The standards are in place and there’s consistency. This also works for out-state organizations that want to use this solution for their New York facilities to meet compliance requirements," explains Tedesco.  

Tackle SPARCS compliance head-on 

Having non-compliant SPARCS data can hinder the acquisition process and potentially delay expansion efforts. There’s also the risk of not meeting community needs, leading to the perception that you’re underserving the community.

This doesn't have to be the case. DataGen's UDS solution is the only New York state-automated SPARCS data submission tool that guarantees 100% accuracy and compliance, helping facilities to provide accurate community services that are represented in planning, rate setting and DOH oversite.

Learn more about the three main benefits of an automated SPARCS data submission tool. Then, discover how to overcome the most common SPARCS data challenges. When you're ready, contact us for a free demo of our platform. We can't wait to show how you can reduce the time you spend on SPARCS reports. 

*The scenarios provided are fictitious and do not reflect real-world situations or individuals.  

Comments

Popular posts from this blog

Patient safety culture survey: Why collect data?

The Agency for Healthcare Research and Quality defines patient safety culture as "the extent to which an organization's culture supports and promotes patient safety." Patient safety culture is influenced by the values, beliefs and norms of healthcare practitioners and other staff. Since these concepts tend to be abstract, organizations looking to improve their patient safety culture must focus on identifying and measuring patient safety-related behaviors.  In this introductory blog, we'll touch on the importance of patient safety data and how it can help create a baseline. From there, you can gain a clearer idea of how to benchmark your facility to create effective patient safety culture improvement strategies.  Why collect patient safety data?  The best way to examine patient safety culture at the department, organization and system levels is to measure data. An organization can implement many different patient safety culture strategies. However, for them to be most

Community Health Needs Assessment examples: Q&A on CHNA data reporting

Include integral data in your Community Health Needs Assessment examples  Community Health Needs Assessment (CHNA) examples tend to focus on case studies. However, using integral data for your CHNA can provide overall guidance, making it easier to start and complete your final report. In this Q&A, DataGen’s Melissa Bauer, principal healthcare informatics analyst, explains why using data in the CHNA is key and what types of data you should collect.   Q1: What is CHNA data?   A CHNA requires two types of data: primary and secondary. Using these two data streams, organizations can better characterize the community's health. This helps the organization conducting the CHNA best understand their community needs. It also informs them on the best ways to respond to them, providing guidance on where to start and how to evaluate impact and outcomes. Here’s a further explanation of the data found in a CHNA:  Primary data includes community surveys, focus groups, in-depth interviews, and c