Data Processing
We Collect, Update, and Error Check Incoming Data—So You Don’t Have To!
Our Platforms Support the Following Datasets
Internal Patient Data
Raw data can't drive strategic growth.
But combining data transparency with a world class data process will lead to better growth decisions.
Request a Discovery CallWhat is Data Processing?
"Data processing" refers to the collection, aggregation, cleaning, and updating of data so hospitals and health systems can use it to make informed strategic decisions.
Why is a strong data process needed?
The healthcare space is flooded with various types of data: state data sets, Medicare data sets, all-claims data, hospital patient data, demographic, psychographic, and more.
Because of all this available data, every hospital and health system could benefit from a strong data process. This practice is particularly crucial for hospitals systems juggling multi-state data or using SPSS or SQL to aggregate data.
How strong is your data process?
Take The QuizWhat does a strong data process look like?
The formula for a strong data process boils down to these 5 steps:
Our Philosophy
Today, hospital resources are getting caught in the weeds, spending the majority of their time in the data. This leaves less and less time for the higher, more strategic levels of thinking. By taking this arduous and time-consuming task off the plate of our partners, prior to even loading the data into our software platform, we provide opportunity for focus on the more important job of making informed growth decisions.
How We Do It
1. Data Receipt
Client orders data from their respective states
OR uploads data directly through our HIPAA-compliant website
OR Stratasan downloads the data on the client’s behalf
2. Verify Trends
Verify quarterly and yearly trends multiple times
3. Connect Codes
Connect specific codes (MS-DRG, ICD9, CPT, HCPCS) to descriptions for easier usability of the data within the Stratasan platforms
4. Validate Formatting
Validate formatting of fields to ensure the correct connections between the codes and descriptions
5. Quality Assurance
Examine overall volume, facility discharges or visits, and product line comparisons—any outliers are flagged and investigated
6. Added Value
Provide additional value on top of the data, making it more useful to you as you draw insights from it
7. Go Live
Data is approved and made "live" for users
Interested in learning more about these 7 steps?
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Hear First-Hand Why Hospitals and Health Systems of All Sizes are Choosing Stratasan
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Transform your data into accessible intelligence with
Stratasan Data Services and our proprietary software.
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Analytics Platform
A customizable data query engine and report-building platform for immediate and unrestricted access to intelligence.
Learn MoreWant to Learn More?
Contact Stratasan to learn how our data process and tools can free up your time and allow you to focus on strategy and growth.
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