Leveraging Stratasan’s ZIP5 Patient Origin Modeling
Stratasan recently began offering a new capability: ZIP5 analysis of our All-Payer Claims Database. This capability will help you better assess critical business performance in areas such as outmigration and referral tracking.
Stratasan assigns a ZIP5 to patient IDs in order to provide our partners with an enhanced level of granularity. The ZIP5 assignment is for All-Payer Claims 837 submit data since that is the data being rolled up to the ZIP. This modeling is based on the patient’s observed healthcare utilization from All-Payer Claims Data (APCD). In this blog, we’ll discuss our methodology for ZIP5 modeling, but first, let’s begin by discussing why this level of insight is useful.
Geographic Analysis and Quarterly Reporting
Consistent geographic comparison and analysis across multiple datasets is necessary to validate your data and ensure the insights being used for planning are consistent across datasets. That's why Stratasan has made this capability available through our ZIP5 patient origin modeling.
The level of detail provided with ZIP5 modeling makes it possible to track the success of outreach programs and marketing campaigns on a regular, ongoing basis. It also makes possible more in-depth, meaningful physician referral tracking and patient outmigration, both of which will discuss more below.
Tracking Physician Referrals and Patient Outmigration
Often when considering how to grow or improve bottom line profits, patient outmigration and physician referral leakage are top of mind. Patient retention and well-maintained physician relationships are key to maintaining a strong financial standing. This is important for rural hospitals at a high risk of losing patients to nearby cities, and for large urban hospitals as well, to ensure there’s no leakage to the competitor right down the street. Patient outmigration can be the result of a change in patient preference or a physician referral, but either way, it’s lost revenue.
Careful ZIP5 analysis can be useful in determining points of leakage. By pulling a list of patients in a specific ZIP, then comparing destination patient ZIP5 information, it’s possible to see a longitudinal view of the market and identify referral patterns that spark concern. This intel can equip planners and physician liaisons with the intel they need to reduce costly outmigration.
Stratasan’s ZIP5 Methodology
One of the impacts of HIPAA implementation is that patient origin details are released at a ZIP3 level. This means that ZIP5 patient origin is not available through unmodeled patient origin data, and the insight accessible through this data is limited. That’s why Stratasan assigns a modeled ZIP5, so that our partners can be equipped with the level of insight they need for effective analysis and planning while maintaining patient privacy via a de-identified data set to support HIPAA compliance.
To determine a patient's modeled ZIP5, we look at care settings that are highly correlated with where a patient lives. We emphasize five primary sites of care, and within those, assign precedence based on the types of care for which a patient is more or less likely to travel greater distances:
- Urgent Care
- Emergency Room
- Hospital - Inpatient
- Hospital - Outpatient
We exclude care settings that typically are not correlated with where a patient lives, such as Laboratory, or a Home Health billing agency. Our logic looks beyond a pure site of care utilization. For example, a Primary Care visit is typically weighted higher than another visit, regardless of site.
Knowing that patients will likely seek care close to where they live, we’re able to apply assumptions that we feel accurately model ZIP5 patient origin. Applying healthcare utilization logic and site of care destinations is a combination that we can strongly stand behind to deliver dependable results for growth planning.
Other vendors use a variety of ZIP5 methodologies that often involve a black-box approach to modeling. At Stratasan, however, we believe in data transparency. We feel so strongly in transparency that we’re willing to fully and openly share our approach to ZIP5 modeling.
If our ZIP5 patient modeling methodology sounds like an offering that would be valuable to your team as you address costly patient leakage and worrisome physical referral patterns, then reach out to a member of our team today. Schedule a demo with one of our data experts and find out how, with our data insights, you'll be better equipped to address fluctuating market dynamics, improve patient tracking, and add depth to your physician conversations.