What is Data Processing?
"Data processing" refers to the collection, aggregation, cleaning, and updating of data so it can be used to make informed strategic decisions.
Why is a strong data process needed?
While all hospitals and health systems would benefit from a strong data process, this practice is crucial for hospitals systems juggling multi-state data or using SPSS or SQL to aggregate data.
How strong is your data process?Take The Quiz
What does a strong data process look like?
The formula for a strong data process boils down to receive, combine, crosswalk, clean and QA. Check out this infographic that walks through the most important steps of what a good process should look like:
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 time
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
We examine overall volume, facility discharges or visits, and product line comparisons. Any outliers are are flagged and investigated.
6. Added Value
We provide additional value on top of the data, making it more useful to you as you draw insights from it.
7. Go Live
The data is then approved and made "live" for users.