Imagine reaching out to a provider only to find their phone number is disconnected, their listed specialty is outdated, or they no longer practice at that location. These seemingly small inaccuracies cause big downstream problems: missed referrals, delayed care, failed marketing campaigns, billing rework, and more.
Provider data powers every part of the healthcare system. Yet knowing whether that data is actually right has never been easy. Until now.
At Orderly, we’ve introduced confidence scores for provider data: a clear, measurable way to know how trustworthy a given data point is. Confidence scores are now available in both our Orderly Provider Directory and Data Updates products.
Here’s what they are, how they work, and why they’re so useful.
What's a Confidence Score?
A confidence score is the likelihood that a specific provider field, such as a phone number or practice address, is accurate at the current moment (i.e., the provider office would confirm via phone attestation).
For each individual field in a provider record, we evaluate all the sources we’ve ingested and assign a percentage score. Our methodology weighs three key elements:
- Source quality (How trustworthy is this data source?)
- Data age (How long ago was this information updated?)
- Decay modeling (What’s the expected rate of change for this field over time?)
From there, we surface the most up-to-date, highest-confidence value for each field in the provider record.
In short, we do the math so you don’t have to guess.
Why Do Confidence Scores Matter?
Whether you're building a provider directory, managing a referral network, updating records, or processing claims, the accuracy of your provider data directly impacts your results. If your information is wrong, everything downstream suffers.
Confidence scores help you take control of that risk. They give you the power to:
- Prioritize which data to trust and which to flag
- Set custom thresholds based on your workflow’s tolerance for error
- Gain visibility into how fresh and reliable each field is
You don’t need to rely on a blanket assumption about your data. With confidence scores, you can see which parts of your provider records are solid and which ones may need attention. This insight leads to smarter decisions and better outcomes.
Tailored to Your Needs
Confidence scores are available at the field level, which means you can use them differently depending on the task at hand.
Some workflows may require absolute certainty, while others can tolerate a bit more uncertainty. For example:
- A call center verifying a provider's address may want to rely only on fields with the highest confidence.
- A marketing team planning a campaign might decide to include a broader set of provider leads and follow up on any questionable data as needed.
- A claims team looking to reduce rework may want to automatically flag records that fall below a certain confidence score.
What matters most is that you get to decide what confidence level is right for your goals. Our scores make that decision transparent and actionable.
Why Orderly’s Confidence Scores Are Different
A lot of companies talk about "data quality," but very few can quantify it in a way that’s both transparent and usable.
What sets Orderly’s approach apart is that our confidence scores are:
- Empirical. They’re grounded in real data science, not just subjective business rules.
- Traceable. You can see which sources contributed to the score and how recent the information is.
- Dynamic. As time passes and new data comes in, scores update automatically. Confidence decays just like the underlying data does.
This gives your team a consistent, flexible way to assess and trust provider data without relying on assumptions or static validations.
Where Confidence Scores Are Available
As of today, confidence scores are live in both:
- Available in API responses now
- Coming soon to the UI (record detail views)
- Included in the outputs for each provider field
We’re excited to see how customers are already using these scores to inform decisions, flag potential risks, and get ahead of data decay.
Confidence You Can Act On
Confidence scores provide clarity where it’s long been missing in provider data. Rather than wondering whether a phone number or address is still accurate, you can see exactly how sure we are — and choose how to act on that insight.
At Orderly, we believe accuracy isn’t binary. Data doesn’t have to be perfect to be useful. It just has to be clear, current, and tailored to the task at hand. Confidence scores make that possible.
Want to learn more about how confidence scores could fit into your workflows?
Schedule an intro call with us today. We’d love to walk you through it.