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Reference
How does SignalRx research a practice?
Where each piece of a practice record comes from, and how SignalRx combines the sources.
SignalRx builds each practice record from several kinds of sources, checks them against each other, and adds your own customer data once a practice is a customer. No single source is complete, so the answer comes from combining them. Every guide on this site points here instead of repeating the list.
Where each piece of a practice record comes from
| What we need to know | Where it comes from | What breaks without it |
|---|---|---|
| Specialty (taxonomy code) | NPPES registry | Specialty segment and Fit Score are wrong |
| Facility size and setting | CMS data, keyed on the CCN | No size or setting for certified facilities |
| Who owns it | Registries, news and the web, combined | The record lands in no segment and routes nowhere |
| Practice location | NPPES, confirmed by Google Business Profile | Routing and location rollups fail |
| Services and cash-pay offerings | The company website | You can't tell what the business sells |
| Patient demand and volume | Google reviews, Healthgrades, RealSelf | You can't tell how busy a location is |
| Headcount, leadership, growth | Size and momentum are invisible | |
| Buying intent | Job postings and hiring pages | No early signal of a new system or new locations |
| Your relationship | Your own revenue, usage and support history | Your most valuable signal goes unused |
Acronyms are explained in the glossary.
How the sources work together
- Registries anchor identity. NPPES and CMS give the structured facts: provider ID, specialty, location and certified facility data.
- Everything else fills the gaps. Most of what a sales team scores on is not in any registry, and registries are especially thin for cash-pay practices. The website, reviews, LinkedIn and job postings carry the rest.
- Values are matched carefully. Each value is matched on a stable identifier or a verified location, so it lands on the right record and not on a clinic with the same name.
- Conflicts are resolved, not averaged. When sources disagree, SignalRx uses inference to decide which one to trust.
- Thin records are kept. A record that arrives with little more than a name is filled from these sources, so it can be scored instead of thrown away.
New prospects vs your customers
- New prospects have no history with you, so SignalRx scores them from external sources: registries, the website, social, reviews and whatever your CRM already holds.
- Customers add your own data: revenue, support and product usage, tracked over time. This is what makes health scores and expansion signals possible.
Where the results land
- Fit and Health scores, segments and tags are written to SignalRx's own fields in its managed Salesforce package, on both accounts and contacts, and refreshed on a regular cadence.
- They power Revenue Plays and list views your team works in Salesforce.
- SignalRx writes to standard Salesforce fields only when it creates a new Lead, Contact or Account for you, or when an optional data-hygiene flow fills a standard field that is blank, such as email or phone. It does not overwrite values your team has entered.
Related: How do I fill missing fields on my CRM records? and How do I resolve parent-child ownership in healthcare accounts?
Want any of these running on your data?
Frequently Asked Questions
01
What is SignalRx?
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SignalRx is Practice Intelligence for enterprises that sell to healthcare practices, groups, and MSOs. We connect your CRM, revenue, product usage, and support data with ongoing research into every practice, group, and MSO you sell to, then model every account and segment to understand who owns it, what it buys, and what drives growth or churn.
As accounts change, SignalRx continuously updates its intelligence and recommendations, so your teams know which practices to grow, which are at risk, and where to find more customers like your best, directly in Salesforce and the tools they already use.
02
How are you different from Definitive or ZoomInfo?
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Definitive and ZoomInfo are data providers. SignalRx is the layer above them that gives you intelligence about your prospects and customers.
SignalRx combines market data with your own product and revenue data, tracks the signals that drive healthcare revenue (specialty, ownership, number of locations, and more), and rolls every practice up to the group, MSO or PE platform to understand the complete picture.
Definitive and ZoomInfo tell you who (mostly), SignalRx tells you who, and what to do next.
03
What if our data is messy or incomplete?
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That's normal. SignalRx is built to flexibly map your data into our system, and then to make sense of inconsistencies and fill in the gaps on incomplete records, including parent/child relationships.
We're natively integrated with Salesforce across all objects (custom too), plus have support for a wide range of data imports and APIs available that our team will set up with you white glove.
04
How do you handle data security and privacy?
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SignalRx connects to your Salesforce with scoped access. Customer data is not used to train third-party AI models, and AI providers process it under zero data retention (ZDR) agreements or similar.
SOC 2 Type 2 certification is in process, with completion expected early Q1 2027.
05
Why not build this in-house?
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Everyone can build these days. The hard part is the judgment. The SignalRx harness has years of healthcare business logic, edge cases and lessons learned, experience knowing what data to trust, and uses inference to decide which source to trust when the data conflicts.
What you get is the benefit of AI, but with deterministic outputs and direction you can trust that’s built specifically for healthcare use cases. That’s what you’d be rebuilding from scratch.
With SignalRx you’re live in under 30 days, and your team spends its time acting on the intelligence instead of maintaining it.
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