Data Processing

How to Arrive at Clean, Trustworthy Data in Healthcare

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.

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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 multi-state systems or systems currently using an in-house solution such as SQL. Data sets differ in release schedules, code and data formats, naming conventions, organization, and general layout, making it extremely labor intensive to reconcile.

 

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What does a strong data process look like?

Stratasan Philosophy

We Acquire, Update, and Error Check Incoming Data—So You Don’t Have To!

Today, healthcare strategists are getting caught in the weeds, spending the majority of their time in data analysis. 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 an opportunity for them to focus on the more important job of making informed growth decisions.

How We Do It

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1. Data Receipt

There are several ways Stratasan receives data from clients: the client may order the data from their respective state(s), choose to upload data directly into our HIPAA-compliant website, or Stratasan can acquire credentials from the state to download the data on the client's behalf.

2. Verify Trends

Next, our teams verify quarterly and yearly trends multiple times prior to the data being uploaded into our cloud-based analytics platform.

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3. Connect Codes

We then connect specific codes (MS-DRG, ICD9, CPT, HCPCS) to descriptions for easier usability of the data within the Stratasan platforms.

4. Validate Formatting

Next, we validate the formatting of fields to ensure the correct connections between the codes and descriptions.

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5. Quality Assurance

After formatting is complete, we examine overall volume, facility discharges or visits, and product line comparisons. Any outliers are flagged and investigated.

6. Added Value

Based on our industry knowledge and experience, we make several other adjustments to the data to provide additional value, making it more useful to you as you draw insights from it. An example of this additional value is crosswalking in the county name when only the county FIPS code is provided.

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7. Go Live

Once all of this is done, the data is then approved and made "live" for users.

Interested in learning more about these 7 steps?

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Success Stories

Hear First-Hand Why Hospitals and Health Systems of All Sizes are Choosing Stratasan

Multi-State Hospital: Switching to an Outside Partner

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Learn more about how our tools can empower you to make better strategic growth decisions.


Stratasan Analytics Platform

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A visual intelligence platform that transforms complex market data into straightforward insights.

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Like the idea of being able to focus on strategy instead of data?

We'd love to have a conversation around how we can help you get out of data purgatory and into a world where you are free to make informed growth decisions.

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