NPPES file of Aug 9, 2026

Research Study Abstracter/Coder providers in the U.S.

112 NPPES records list research study abstracter/coder as their primary taxonomy; California and Indiana have the most per resident. 1 of them appear in the Medicare Part D prescriber file: a registry record is not proof of an active practice.

CMS NPPES registry, file of Aug 9, 2026; 2023 Census estimates · NUCC 1744R1103X · method

What taxonomy code 1744R1103X means

1744R1103X is the National Uniform Claim Committee code for Specialist, Research Data Abstracter/Coder, in the grouping Other Service Providers. 112 NPPES records list it as their primary taxonomy (file of Aug 9, 2026).

Source: NUCC Health Care Provider Taxonomy code set, definition as NUCC publishes it (nucc.org); counts from CMS NPPES.

Most per resident: the 8 highest

  1. California0.1
  2. Indiana0.1
  3. Arkansas0.1
  4. Nevada0.1
  5. Louisiana0.1
  6. Utah0.1
  7. Connecticut0.1
  8. West Virginia0.1
  9. 50 states and D.C.0.0

Source: CMS NPPES, primary taxonomy 1744R1103X by practice state, file of Aug 9, 2026; records per 100,000 residents, 2023 Census estimates.

San Francisco has the most, 16

Source: CMS NPPES, primary taxonomy 1744R1103X by practice city, file of Aug 9, 2026.

All 30 states and D.C. with records, by state

StateRecordsPer 100,000
Alabama10.0
Alaska10.1
Arkansas40.1
California430.1
Colorado10.0
Connecticut20.1
Florida80.0
Georgia30.0
Hawaii10.1
Idaho10.1
Indiana50.1
Kansas10.0
Louisiana30.1
Massachusetts10.0
Michigan20.0
StateRecordsPer 100,000
Minnesota20.0
Missouri10.0
Nevada40.1
New Jersey10.0
New Mexico10.0
New York40.0
North Carolina30.0
Ohio10.0
Pennsylvania20.0
Tennessee20.0
Texas30.0
Utah30.1
Washington30.0
West Virginia20.1
Wisconsin10.0

In federal data

  • NUCC code1744R1103X · Specialist
  • Size rank510th of 688 specialties by records (0% of all)
  • In its family4th of 5 Specialist codes, 0.2% of the family
  • Part D prescribers1 (0.9% of records)
  • Part D claims35 a year per prescriber, on average (433rd of 496)
  • Concentration3 states hold half of all records

Source: CMS NPPES; Medicare Part D Prescriber PUF; CMS Open Payments 2024. Presence in these files is not a quality judgment.

A sample of research study abstracter/coder records

  1. Reva Katz, M.SCI.Anchorage, AK1710916895
  2. Shannon Vickery, M.S.Fort Rucker, AL1811385453
  3. Katherine Walker, M.A.North Little Rock, AR1467537787
  4. Lindsay MurphyJoiner, AR1639612583
  5. Holly DobbsJonesboro, AR1114355674
  6. Kathi StaymanFayetteville, AR1427274521
  7. Sindy SalgueroLos Angeles, CA1790983567
  8. Chika NwobuLos Angeles, CA1619058054
  9. Gricelda EspinozaLos Angeles, CA1306432497
  10. Jasmin Humble, MS & MACulver City, CA1104554591
  11. Edwin ReyesSanta Fe Springs, CA1922729623
  12. Huan PhamSan Diego, CA1649995937

Registry order, not a ranking. Search by name to find one provider.

Common questions

Why is Research Study Abstracter/Coder a thin NUCC code in NPPES?

Only 112 NPIs list Research Study Abstracter/Coder as primary taxonomy across 31 states (peak California, 43). That is 510th of 688 NUCC codes by headcount. Thin codes are still searchable by NPI; do not treat the low count as a quality signal.

Where can I still find a Research Study Abstracter/Coder?

Research Study Abstracter/Coder providers are listed in 31 states; San Francisco leads by raw city count. By national headcount this code sits just above Nephrology Registered Nurse and just below Cardiopulmonary Physical Therapist. Browse by state or search by name.

How much Part D prescribing does this specialty do?

Among Research Study Abstracter/Coder NPIs, 1 appear in the Medicare Part D Prescriber PUF (average 35 claims and $8K drug cost per prescriber; 433rd of 496 specialties by average claims). Non-prescribing clinicians in the same NUCC code are still in NPPES.

Source: CMS National Plan and Provider Enumeration System (NPPES), file of Aug 9, 2026 (NPPES files on CMS.gov); NUCC Health Care Provider Taxonomy (nucc.org); Medicare Part D Prescriber PUF; CMS Open Payments 2024. Counts are self-designated primary taxonomy, not board certification.

Figures on PlainDoctor are read from the federal files each page names (CMS NPPES, Medicare Part D, MIPS, Open Payments; the HHS-OIG exclusion list only as counts) and from Census population estimates, with the file date shown beside them. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error. Data current as of Aug 9, 2026.