Healthcare Referral Network Dataset

This dataset provides a detailed mapping of healthcare provider referral networks, capturing directional relationships, patient demographics, and referral event details. It enables health systems and referral management solutions to analyze care coordination patterns, optimize provider networks, and improve patient outcomes through data-driven insights.

  • last updated 20 Aug 2025
  • by GoMask
The brief that made it

Analyzing provider referral patterns and network efficiency

Sample rows

preview · 8 of 200 rows · all 26 columns
referral_idstringreferral_typestringpatient_ageintegerreferring_provider_statestringreferring_provider_idstringreferred_provider_idstringreferral_datedatepatient_idstringreferral_statusstringreferring_provider_namestringreferring_provider_specialtystringreferring_provider_organizationstringreferring_provider_citystringreferring_provider_postal_codestringreferring_provider_countrystringreferred_provider_namestringreferred_provider_specialtystringreferred_provider_organizationstringreferred_provider_citystringreferred_provider_statestringreferred_provider_postal_codestringreferred_provider_countrystringpatient_genderstringreferral_prioritystringreferral_reasonstringreferral_notesstring
REF0001diagnostic44WAPRV1001PRV20012022-10-15PAT001completedDr. Elizabeth GreenFamily MedicineSeattle Family Health GroupSeattle98109USADr. Michael LeeEndocrinologistDowntown Endocrine ClinicSeattleWA98109USAfemaleroutineAnnual physical found elevated glucose levels.Referral for further evaluation of diabetes risk and management.
REF0002specialist31COPRV1002PRV20022024-03-07PAT002in-progressDr. John CarterEmergency MedicineDenver General HospitalDenver80218USADr. Priya ShahOphthalmologistDenver Eye CenterDenverCO80218USAmalestatPatient reports sudden vision loss in right eye.Immediate evaluation for retinal detachment recommended.
REF0003specialist5ILPRV1003PRV20032023-12-01PAT003pendingDr. Linda WuPediatricianChicago Children's ClinicChicago60611USADr. Samuel KleinOtolaryngologistLakeshore ENT GroupChicagoIL60611USAfemaleroutineChild with recurrent ear infections, needs specialist consult.Recommend tympanostomy tube placement due to frequency of infections.
REF0004specialist77TXPRV1004PRV20042021-09-22PAT004completedDr. Barbara FordGeriatricianHouston Senior Care CenterHouston77054USADr. Richard OwensNeurologistTexas Neuro GroupHoustonTX77054USAfemaleurgentElderly patient with memory decline for neuro evaluation.Family reports progressive cognitive decline over 2 years.
REF0005diagnostic52CAPRV1005PRV20052023-03-14PAT005completedDr. Steven PatelGeneral PractitionerSan Francisco Medical GroupSan Francisco94110USADr. Mary BeckerPathologistMission Diagnostic CenterSan FranciscoCA94110USAmaleroutineRoutine annual checkup, refer for cholesterol screening.Lipid panel and basic metabolic screening requested.
REF0006specialist34WAPRV1001PRV20062022-12-10PAT006completedDr. Elizabeth GreenFamily MedicineSeattle Family Health GroupSeattle98109USADr. Angela TorresPulmonologistPuget Sound PulmonarySeattleWA98109USAfemaleroutinePatient with persistent cough, rule out asthma.Chronic cough for 4 months, no improvement with antibiotics.
REF0007diagnostic68COPRV1002PRV20072024-02-16PAT007in-progressDr. John CarterEmergency MedicineDenver General HospitalDenver80218USAMs. Sarah MillerRadiologistDenver Imaging CenterDenverCO80218USAfemaleurgentPatient arrived after slip and fall with hip pain.X-ray requested to rule out hip fracture.
REF0008specialist16MAPRV1006PRV20082023-07-27PAT008completedDr. Olivia KingPediatricianBoston Youth Health ClinicBoston02116USADr. Eric JohnsonPsychiatristBoston Behavioral CenterBostonMA02116USAfemaleroutineAdolescent with eating disorder, needs specialist consult.Concern for anorexia nervosa, request psychiatric evaluation.

What the 200 rows show

from the 200-row sample

Other (referral type) stands out: mean patient_age is 14.3, against 45.5 for the rest.

  • 41median patient_age
  • 3referral statuses
  • 3referral priorities
  • 4patient genders
  • 9referring provider specialties
  • 30referred provider states
Mean patient_age by referral_type200 rows
0408046.3speciali…98 rows43.6diagnost…53 rows45.9follow-up24 rows14.3other25 rows
patient_age200 rows, in bands of 20
0306052435533161060120patient_age →

Median 41, from 2 to 120.

referring_provider_state200 rows · top 10 of 30 values
  1. CA29
  2. TX25
  3. FL14
  4. WA9
  5. CO9
  6. IL9
  7. MO9
  8. NC8
  9. AZ7
  10. OR7
26 columns by typefrom the column list below
  • string 24
  • integer 1
  • date 1

Columns

26 columns in three groups
blueprint · 26 columns
columntypedescriptionexample
Text 24 columns
referral_idstringUnique identifier for each referral event between providers.uniqueREF0001
referring_provider_idstringUnique identifier for the provider initiating the referral.PRV1001
referred_provider_idstringUnique identifier for the provider receiving the referral.PRV2001
patient_idstringUnique identifier for the patient being referred.PAT001
referral_reasonstringBrief description of the reason for referral.optionalSpeech delay evaluation.
referral_statusstringCurrent status of the referral (e.g., pending, completed, cancelled).pending · completed · cancelled · in-progresscompleted
referral_typestringType of referral (e.g., specialist, diagnostic, follow-up).specialist · diagnostic · follow-up · other · optionaldiagnostic
referring_provider_namestringFull name of the referring provider.optionalDr. Elizabeth Green
referring_provider_specialtystringMedical specialty of the referring provider.9 specialties · optionalFamily Medicine
referring_provider_organizationstringOrganization or practice of the referring provider.optionalDenver General Hospital
referring_provider_citystringCity of the referring provider's practice.optionalSeattle
referring_provider_statestringState of the referring provider's practice.optionalWA
referring_provider_postal_codestringPostal code of the referring provider's practice.optional98109
referring_provider_countrystringCountry of the referring provider's practice.optionalUSA
referred_provider_namestringFull name of the referred provider.optionalDr. Michael Lee
referred_provider_specialtystringMedical specialty of the referred provider.optionalEndocrinologist
referred_provider_organizationstringOrganization or practice of the referred provider.optionalDenver Eye Center
referred_provider_citystringCity of the referred provider's practice.optionalSeattle
referred_provider_statestringState of the referred provider's practice.optionalWA
referred_provider_postal_codestringPostal code of the referred provider's practice.optional98109
referred_provider_countrystringCountry of the referred provider's practice.optionalUSA
patient_genderstringGender of the patient.male · female · other · unknown · optionalfemale
referral_prioritystringPriority level of the referral (e.g., routine, urgent, stat).routine · urgent · stat · optionalroutine
referral_notesstringAdditional notes or comments about the referral.optionalReferral for further eval…
Numbers 1 column
patient_ageintegerAge of the patient at the time of referral.0 to 120 · optional44
Dates and times 1 column
referral_datedateDate the referral was made.2022-10-15

Use it for

  • median patient…41200 rowsmean patient age by r…46.3spec…43.6diag…45.9foll…14.3other

    A healthcare dashboard

    Patient_age by referral_type and a breakdown of referring_provider_state. Excel, Power BI or Tableau.

  • Why do the 25 other rows have a mean patient_age of 14.3?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable referrals with referring_provider_id, referred_provider_id and referral_date to fill a screen in front of a buyer.

Not quite right?

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This dataset200 rows26 columns
Yours1,000 rows26 columnsreferring_provider_city: UK only

blueprint · healthcare-referral-network-dataset

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 26 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Include provider specialties
  • Track referral counts per provider
  • Segment by referral type
  • Flag cross-network referrals
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
healthcare-referral-network-dataset

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