Healthcare referral generation without buying a list

Referral generation programs usually buy a list, work it, and then have no way to explain why results stalled. A data-first method makes each step inspectable: you can point at the geography that was resolved, the datasets that were queried, the rows that came back, and the ranking rule that ordered them.

6 min read

Step 1 — resolve the geography properly

Almost all useful healthcare data is published at county, state, CBSA or ZCTA grain. Sales territories are described in cities and metros. Naming a city and getting nothing back is the most common failure mode in this work.

Resolve the place name to state FIPS, every county it touches, place code, ZCTA and CBSA up front, then translate into whatever grain each dataset speaks — rolling ZIPs up to a county, fanning a metro out to member counties. Widening should be disclosed, not silent.

Step 2 — pull the facility and clinician universe

Depending on the offering, the universe is some combination of NPPES clinicians, CMS Care Compare facilities, SAMHSA treatment facilities, HRSA health centers, nursing homes, home health and hospice providers. These are census-style registries, not samples, so the counts are the counts.

Example pull from RepVector

Retained facility rows for a resolved county — the universe step of the method above.

HRSA-funded health center service delivery sites · 2026-08 · 100 rowsAustin, Travis County, Texascaptured Aug 17, 2026

HRSA-funded health center service delivery sites in Texas

Site nameSite typeOperating granteeCityZIPAddress
Medical Mobile UnitService Delivery SiteHARRIS CTYHOSP DISTHouston77047-37633550 Swingle Rd
Star of Hope Cornerstone CommunityService Delivery SiteHARRIS CTYHOSP DISTHouston77051-22162575 Reed Rd
Navigation CenterService Delivery SiteHARRIS CTYHOSP DISTHouston77026-60192903 Jensen Dr
Lord of the StreetsService Delivery SiteHARRIS CTYHOSP DISTHouston77004-38063401 Fannin St
Medical Mobile Unit #2Service Delivery SiteHARRIS CTYHOSP DISTHouston77047-37633550 Swingle Rd
SALVATION ARMY ADULT REHAB CTRService Delivery SiteHARRIS CTYHOSP DISTHouston77007-61372118 Washington Ave

First 6 of 100 retained rows. See the full field list for HRSA-funded health center service delivery sites

Step 3 — rank on volume and payer mix

Medicare enrollment and Medicare Advantage penetration tell you how much of the county's senior population sits in fee-for-service versus managed care — which changes who has authority over a referral. Medicaid enrollment and drug utilization do the same for the Medicaid side. A referral target that cannot pay for your service is not a target.

Step 4 — establish need with population data

CDC PLACES gives model-based prevalence estimates at county and tract level. HRSA HPSA designations mark shortage areas. Census ACS gives age, income, insurance status and language. Together they separate 'a large county' from 'a county with the specific unmet need our service addresses.'

Step 5 — measure coverage, then re-run

Because the universe is reproducible, the same query re-run next quarter gives a comparable number. Coverage becomes a tracked metric instead of an anecdote.

What to take away

  • Geography resolution is the step that silently breaks most analyses.
  • Registries give counts, not samples — use them for the denominator.
  • Payer mix decides whether a referral can convert.
  • A reproducible universe turns coverage into a trackable metric.

Put this to work

RepVector assembles this for a named market in one query

Describe the market and the offering. The datasets above are selected, resolved to your geography, pulled, scored, and returned as a ranked list with every figure sourced.

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