FIELD GUIDE / MODERATE

Clean roster export for multi-location clinics

Exports must preserve source columns and prevent untrusted cells from becoming spreadsheet formulas. This guide applies the work to clinic location rosters and group and individual NPIs.

CHECK YOUR ROSTER

Upload your clinic location roster, review results, and download a formula-safe CSV.

The same validator used on the homepage: local checksum checks, live public NPPES lookup, cautious differences, and clean export.

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A defensible workflow

  1. 01

    Retain original column order.

  2. 02

    Append normalized NPI and status.

  3. 03

    Add selected public fields and flags. Retain department as operational context.

  4. 04

    Include validation time and provenance.

  5. 05

    Escape formula-leading cells.

Roster input to retainPublic NPPES evidence to append
clinician_npientity type
provider_namepractice address
source row IDenriched fields
normalized NPI

Why this matters for multi-location clinics

The same clinician may appear at several sites, so identity and scheduling location cannot be collapsed. For clean roster export, Exports must preserve source columns and prevent untrusted cells from becoming spreadsheet formulas.

In clean roster export for multi-location clinics, group and individual NPIs changes how a result should be interpreted. NPPES does not establish employment, availability, or privileges at a clinic.

FICTIONAL OPERATIONAL EXAMPLE

clean roster export in a fictional clinic location roster

Situation

During a fictional clean roster export review, a clinic location roster contains 38 sites and 610 clinicians. One row for Avery Patel, NP / Fictional Lakeview Clinic reaches review because location rows removed as duplicates.

Input evidence

For this clean roster export review, the source retains clinician_npi, provider_name, clinician_npi for traceability.

Review action

Make exports additive and self-describing so classifications can be reproduced. The reviewer also checks group and individual NPIs.

Common errors in this workflow

  1. 01original NPI overwritten
  2. 02timestamp omitted
  3. 03location rows removed as duplicates
  4. 04clinic name compared with a practitioner NPI

REVIEW GUIDANCE

Use the result as evidence, not a verdict.

Make exports additive and self-describing so classifications can be reproduced. Preserve group and individual NPIs as a separate consideration for multi-location clinics.

Limitations

A clean export packages public evidence; it is not a credential or eligibility report. NPPES does not establish employment, availability, or privileges at a clinic.

QUESTIONS

What reviewers usually need to know

What should multi-location clinics do first?

Preserve the source row, normalize locally, and keep clinician_npi before comparing public fields.

Should a difference be corrected automatically?

Usually not. Make exports additive and self-describing so classifications can be reproduced.

What does an NPPES match establish?

It confirms public fields returned at lookup time. NPPES does not establish employment, availability, or privileges at a clinic.

NEW VALIDATION01 / UPLOAD

Drop a provider roster here

CSV up to 10 MB · NPI is the only required field

NPIPROVIDERRESULT1861498248Jordan Lee, DO Fictional sample✓ MATCH1043297120North Shore Clinic Fictional sample! REVIEW
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Do not upload patient information or PHI.

Primary references: CMS National Provider Identifiers and the NPI Registry API documentation. Public provider-reported data should be read with its source date and limitations.