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October 30, 2026

How to Evaluate Healthcare Sourcing Data Quality

5-min Read
Marjia Shotabdi
Marjia Shotabdi
Senior Sales & Marketing Development Associate
How to Evaluate Healthcare Sourcing Data Quality

Most sourcing demos lead with a number: millions of profiles, thousands of matches. Volume is the easiest number to win on and one of the least useful to a recruiter. What matters is how many of those profiles are current, complete, and reachable for the roles you actually hire.

This article gives a repeatable way to compare the candidate data behind any healthcare sourcing tool, using your own roles and markets.

Why Counts Mislead

Imagine two sources run the same search. One returns far more profiles. But the extra profiles are older, thinner, and missing licenses. Those profiles are not extra candidates. They are extra work, because a recruiter has to check whether each person is still in the role, still licensed, and still reachable.

Quality shows up in the details a count hides.

Step 1: Test on the Same Narrow Market

Pick one role and one geography you genuinely struggle to fill, such as a nursing specialty in a mid-size market. Run the identical search in every source you are comparing.

A narrow sample is easier to inspect by hand, and it mirrors how recruiters actually search.

Step 2: Measure Freshness

Look at when each profile was last updated, and take the median rather than the best case. A median that is many months old means a typical recruiter is contacting people whose details may have changed: a new employer, a new license, a move to another city.

Read age fairly. Older profiles are often kept rather than deleted, so age can reflect history as well as neglect. Pair it with how often a source says its records are refreshed.

Step 3: Measure Depth

Count work-history entries per profile, and note education and skills. A profile with a single entry says little about specialty, care setting, or seniority.

Again, use the median. One rich profile in a hundred thin ones does not change the recruiter's day.

Step 4: Check License and Certification Coverage

In healthcare, the field that decides fit is often a credential. Check what share of profiles show a license, which license types and states are visible, and whether certifications appear at all.

A source with no license data adds manual verification before outreach or progression.

Step 5: Test Contact Coverage and Deliverability

A matched profile is not the same as a reachable person. Take a sample of 50 and check how many have a usable email or phone number, how many bounce, and which channels work for your team.

This is where raw counts and real outreach diverge most.

Step 6: Compare What Is Not Shared

When two sources return different numbers, look at the profiles that appear in only one. How many of the extra profiles are recent and complete, and how many are dormant?

The unshared portion often explains the entire difference in value between two sources.

Step 7: Score Usable Profiles, Not Total Profiles

Build a simple scorecard with one row per measure and one column per source:

  • Median profile age
  • Median work-history entries per profile
  • Share of profiles with license or certification data
  • Share of sampled contacts that are reachable
  • Share of unshared profiles that are recent and complete

Weight the rows by what your team needs. A team that relies on texting should weight phone coverage heavily. Then compare cost per usable profile, not cost per profile.

An Illustrative Example

These numbers are made up to show the method, not benchmarks. Source A returns 1,200 profiles with a median age of two months, a median of three work-history entries, and license data on about a third of profiles. Source B returns 900 profiles with a median age of seven months, a median of three entries, and license data on nearly all profiles.

Neither wins on every row. A team that needs to filter by license before outreach may prefer Source B despite its age and smaller size. A team that moves quickly on recent, reachable contacts may prefer Source A. The scorecard makes that trade-off visible, so the choice is made on purpose.

How Hellora Fits In

Hellora's public sourcing searches 40M+ licensed clinician profiles aggregated from public sources, and results appear alongside candidates already in your database. A side-by-side test on your own roles is the best way to judge any source, Hellora included.

What This Means for Healthcare TA Teams

A sourcing tool is only as useful as the data underneath it. Counts are easy to compare and tell you little. Freshness, depth, license coverage, and reachability take more effort to measure, and they are what determine whether a recruiter's hour turns into a conversation.

See how Hellora helps healthcare teams manage candidate relationships

FAQs

What is healthcare sourcing data quality?

Healthcare sourcing data quality describes how current, complete, and reachable the candidate profiles behind a sourcing tool are, including how recently they were updated, how much work history they contain, whether license and certification data is present, and whether contact details work.

How do you measure candidate data freshness?

Take a sample of profiles from the same search, look at when each was last updated, and compare the median across sources. Pair that with how often each source says its records are refreshed, since older profiles are often retained rather than deleted.

Why isn't profile count a good way to compare sourcing tools?

A larger count can include profiles that are outdated, thin, or missing license data, which creates more verification work for recruiters. Comparing usable profiles per search, and cost per usable profile, gives a fairer picture.

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