Provider Credentialing and Privileging

This dataset provides a comprehensive record of hospital medical staff credentialing and privileging, including education, training, certifications, licenses, DEA registration, malpractice insurance, clinical privileges, and reappointment status. It enables hospitals to efficiently manage provider compliance, credential verification, and privileging workflows, supporting regulatory and patient safety requirements.

  • last updated 2 Nov 2025
  • by GoMask
The brief that made it

Hospital credentialing and privileging management

Sample rows

preview · 8 of 100 rows · all 39 columns
provider_idstringprivilege_typestringmalpractice_coverage_amountfloatmiddle_namestringfirst_namestringlast_namestringdate_of_birthdategenderstringmedical_degreestringmedical_school_graduation_yearintegerresidency_specialtystringresidency_institutionstringresidency_completion_yearintegerfellowship_specialtystringfellowship_institutionstringfellowship_completion_yearintegerboard_certification_statusstringboard_certification_specialtystringboard_certification_expiry_datedatelicense_numberstringlicense_statestringlicense_expiry_datedatedea_numberstringdea_expiry_datedatemalpractice_insurance_providerstringmalpractice_policy_numberstringmalpractice_expiry_datedateprivilege_departmentstringprivilege_start_datedateprivilege_end_datedatereappointment_due_datedatereappointment_statusstringhospital_namestringhospital_address_streetstringhospital_address_citystringhospital_address_statestringhospital_address_postal_codestringhospital_address_countrystringmedical_school_namestring
PRV-0001Consultative2000000AEmilyNguyen1976-09-15FemaleMD2002Internal MedicineJohns Hopkins Hospital2006CardiologyMayo Clinic2009CertifiedCardiology2026-03-01CA-58712CA2027-05-31DEA12345672026-06-30MedPro GroupMPG-CA-00112027-04-15Cardiology2022-06-012027-04-152027-03-15PendingBayview Medical Center101 Bay St.San FranciscoCA94107USAStanford University School of Medicine
PRV-0002Admitting1500000LJamesRodriguez1984-04-22MaleDO2010Family MedicineCleveland Clinic2013blankblankblankCertifiedFamily Medicine2025-11-30OH-30571OH2025-12-31DEA23456782025-09-30CNA HealthcareCNA-OH-00222025-11-30Family Medicine2020-01-012025-11-302025-10-15ApprovedGreat Lakes Hospital199 Lakeview Ave.ClevelandOH44115USAPhiladelphia College of Osteopathic Medicine
PRV-0003Consultative2200000blankPriyaSingh1979-11-03FemaleMBBS2003PediatricsChildren's Hospital of Philadelphia2007NeonatologyBoston Children's Hospital2010CertifiedNeonatology2027-07-15PA-99814PA2028-01-01DEA34567892027-12-31The Doctors CompanyTDC-PA-00332028-01-01Pediatrics2023-07-012028-01-012027-11-15ApprovedLiberty Children's Hospital387 Liberty Dr.PhiladelphiaPA19104USAAll India Institute of Medical Sciences
PRV-0004Surgical2500000JMichaelChen1968-05-19MaleMD1994SurgeryMassachusetts General Hospital1999Vascular SurgeryCleveland Clinic2001CertifiedVascular Surgery2025-09-01MA-11204MA2025-10-31DEA45678902025-10-31ProAssurancePA-MA-00442025-10-31Surgery2023-01-012025-10-312025-08-15PendingMassachusetts General Hospital55 Fruit St.BostonMA02114USAHarvard Medical School
PRV-0005Admitting1800000SKatherineBrown1987-08-28FemaleMD2013Emergency MedicineUCLA Medical Center2017blankblankblankCertifiedEmergency Medicine2027-12-31CA-49018CA2028-01-01DEA56789012027-12-31MedPro GroupMPG-CA-00552028-01-01Emergency Medicine2024-01-012028-01-012027-11-01ApprovedPacific Coast Hospital200 Ocean Blvd.San DiegoCA92103USAUniversity of California, San Diego
PRV-0006Surgical2100000TRobertDavis1971-03-10MaleMD1997OrthopedicsMayo Clinic2002Sports MedicineHospital for Special Surgery2004CertifiedOrthopedics2026-04-20MI-21013MI2026-08-31DEA67890122026-08-31CNA HealthcareCNA-MI-00662026-08-31Orthopedics2021-05-012026-08-312026-07-15PendingMidwest Medical Center410 Elm St.Ann ArborMI48109USAUniversity of Michigan Medical School
PRV-0007Consultative1900000ESamanthaLee1982-02-01FemaleMD2008Obstetrics & GynecologyCedars-Sinai Medical Center2012Maternal-Fetal MedicineMount Sinai Hospital2015CertifiedObstetrics & Gynecology2028-02-01WA-39201WA2028-03-31DEA78901232028-03-31The Doctors CompanyTDC-WA-00772028-03-31Obstetrics & Gynecology2022-03-012028-03-312028-02-15ApprovedCascade Women's Hospital900 Cascade Ave.SeattleWA98109USAUniversity of Washington School of Medicine
PRV-0008Consultative2300000blankDavidPatel1975-07-08MaleMD2001NeurologyUT Southwestern Medical Center2005Stroke NeurologyMayo Clinic2007CertifiedNeurology2027-06-30TX-31510TX2027-08-31DEA89012342027-08-31ProAssurancePA-TX-00882027-08-31Neurology2020-07-012027-08-312027-07-15PendingSouthwest Neurological Institute1010 Westheimer Rd.HoustonTX77006USAUniversity of Texas Southwestern

What the 100 rows show

from the 100-row sample

Surgical (privilege type) stands out: mean malpractice_coverage_amount is 2,786,957, against 2,175,974 for the rest.

  • 2,150,000median malpractice_coverage_amount
  • 2genders
  • 2reappointment statuses
  • 3medical degrees
  • 13malpractice insurance providers
  • 25residency specialties
Mean malpractice_coverage_amount by privilege_type100 rows
02M4M2.2MConsultative63 rows2.8MSurgical23 rows2MAdmitting14 rows
malpractice_coverage_amount100 rows, in bands of 250k
015301514261461062341.5M2.8M4Mmalpractice_coverage_amount →

Median 2,150,000, from 1,500,000 to 4,000,000.

middle_name86 rows with a value · 14 left blank
  1. J9
  2. S7
  3. M7
  4. A6
  5. L5
  6. T5
  7. F5
  8. R5
  9. E4
  10. G4
39 columns by typefrom the column list below
  • string 27
  • integer 3
  • float 1
  • date 8

Columns

39 columns in three groups
blueprint · 39 columns
columntypedescriptionexample
Text 27 columns
provider_idstringUnique identifier for the medical staff provideruniquePRV-0001
first_namestringProvider's legal first nameEmily
last_namestringProvider's legal last nameNguyen
middle_namestringProvider's middle name or initialoptionalA
genderstringProvider's genderMale · Female · Other · Prefer not to say · optionalFemale
medical_degreestringType of medical degree earned (e.g., MD, DO, MBBS)3 degreesMD
medical_school_namestringName of the medical school attendedHarvard Medical School
residency_specialtystringPrimary specialty of residency trainingInternal Medicine
residency_institutionstringName of the residency institutionJohns Hopkins Hospital
fellowship_specialtystringSpecialty of fellowship training (if applicable)optionalCardiology
fellowship_institutionstringName of the fellowship institution (if applicable)optionalMayo Clinic
board_certification_statusstringCurrent board certification status (e.g., Certified, Not Certified, Expired)Certified · Not Certified · ExpiredCertified
board_certification_specialtystringSpecialty for which board certification is heldCardiology
license_numberstringProvider's state medical license numberuniqueCA-58712
license_statestringState where medical license is issuedCA
dea_numberstringDEA registration number for controlled substancesunique · optionalDEA1234567
malpractice_insurance_providerstringName of malpractice insurance providerMedPro Group
malpractice_policy_numberstringMalpractice insurance policy numberuniqueMPG-CA-0011
privilege_departmentstringHospital department where privileges are granted (e.g., Surgery, Pediatrics)Cardiology
privilege_typestringType of clinical privilege (e.g., Admitting, Surgical, Consultative)3 typesConsultative
reappointment_statusstringStatus of provider's reappointment (e.g., Pending, Approved, Denied)Pending · Approved · DeniedPending
hospital_namestringName of the hospital or facilityBayview Medical Center
hospital_address_streetstringStreet address of the hospital101 Bay St.
hospital_address_citystringCity where the hospital is locatedSan Francisco
hospital_address_statestringState where the hospital is locatedCA
hospital_address_postal_codestringPostal code of the hospital address94107
hospital_address_countrystringCountry where the hospital is locatedUSA
Numbers 4 columns
medical_school_graduation_yearintegerYear of graduation from medical school1,900 to 2,1002002
residency_completion_yearintegerYear residency training was completed1,900 to 2,1002006
fellowship_completion_yearintegerYear fellowship training was completed (if applicable)1,900 to 2,100 · optional2009
malpractice_coverage_amountfloatCoverage amount of malpractice insurance in USD0 or more2000000
Dates and times 8 columns
date_of_birthdateProvider's date of birth1976-09-15
board_certification_expiry_datedateExpiration date of board certificationoptional2026-03-01
license_expiry_datedateExpiration date of medical license2027-05-31
dea_expiry_datedateExpiration date of DEA registrationoptional2026-06-30
malpractice_expiry_datedateExpiration date of malpractice insurance policy2027-04-15
privilege_start_datedateStart date of current privilege period2022-06-01
privilege_end_datedateEnd date of current privilege period2027-04-15
reappointment_due_datedateDate when provider is due for reappointment review2027-03-15

Use it for

  • median malprac…2,150,000100 rowsmean malpractice cove…2.2MConsul…2.8MSurgic…2MAdmitt…

    A healthcare dashboard

    Malpractice_coverage_amount by privilege_type and a breakdown of middle_name. Excel, Power BI or Tableau.

  • Why do the 23 Surgical rows have a mean malpractice_coverage_amount of 2,786,957?

    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 providers with first_name, last_name and middle_name to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 39 columns, your size and your rules. See 20 rows before you pay.

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This dataset100 rows39 columns
Yours1,000 rows39 columnslicense_state: UK only

blueprint · provider-credentialing-and-privileging

Behind this dataset

Same schema. As many rows as you need.

These 100 rows came out of a blueprint — 39 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
  • Provider ID unique per facility or system
  • Medical degree: MD, DO, MBBS and institution
  • Residency and fellowship programs with dates
  • Board certification: ABMS or AOA specialty boards
  • Board certification expiration and MOC (Maintenance of Certification)
  • State medical licenses with numbers and expiration
  • DEA registration for controlled substances
  • Malpractice insurance: carrier, policy number, coverage amounts
Rows
Open the blueprint in Data Factory

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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
provider-credentialing-and-privileging

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