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report phone

rpt_ph
technology
Updated 5/16/2026

Definition

The telephone number associated with a contact entity or reporting organization within a structured clinical summary in EHR or claims systems. Used for provider directory validation, member outreach reporting, and regulatory contact disclosure; requires standardized formatting and masking rules in data pipelines.

Standard Abbreviation

rpt_ph

Category

technology

Database Usage

-- Example column naming
CREATE TABLE claims (
  clm_id VARCHAR(50),
  rpt_ph VARCHAR(100),  -- report phone (max 100 chars)
  ...
);

-- Example in SELECT
SELECT
  clm_id,
  rpt_ph as report_phone
FROM claims;

Example database column name

ISO-11179 snake_case standard

-- Recommended column name
rpt_ph

-- Example DDL
CREATE TABLE healthcare_data (
  record_id   VARCHAR(50)   NOT NULL,
  rpt_ph       VARCHAR(100),  -- report phone (max 100 chars)
  created_dt  TIMESTAMP     NOT NULL DEFAULT NOW()
);

Column names follow the ISO-11179 naming convention: lowercase, underscore-separated, using the standard abbreviation as a prefix where applicable.

Why This Term Matters

Healthcare data terminology is foundational for any data engineer working in this industry. Precise understanding of standard terms enables accurate schema design, reduces downstream data quality issues, and ensures pipelines meet the regulatory and interoperability requirements imposed by HIPAA, HL7 FHIR, and CMS reporting frameworks. Without this foundation, even technically well-built pipelines produce data that fails validation when it reaches payers or regulators.

Common uses in healthcare data

  • Healthcare data warehouse schema design and modeling
  • Interoperability and cross-system data exchange
  • ETL pipeline development and orchestration
  • Master data management (MDM) programs
  • Analytics and business intelligence reporting
  • Epic and Cerner data extraction for cross-system analytics pipelines
  • Snowflake healthcare data cloud architecture with cross-functional data sharing
  • Databricks Lakehouse ingestion pipelines for multi-source healthcare data integration

Related Healthcare Standards

HIPAA (45 CFR Parts 160–164)

The foundational regulation governing healthcare data privacy, security, and electronic transaction standards across the US healthcare system.

HL7 FHIR R4

The dominant healthcare interoperability standard defining how clinical and administrative data is structured and exchanged between systems.

CMS Data Programs

CMS operates multiple data standards programs including NPPES, ICD coding, and Medicare reporting that touch nearly every area of healthcare data.

Data Quality Considerations

  • Date format inconsistency is the most pervasive data quality issue across healthcare source systems — enforce ISO 8601 (YYYY-MM-DD) at ingestion before data reaches Snowflake or Databricks.
  • Healthcare data frequently contains free-text clinical notes mixed with structured code fields — validate that structured columns do not contain narrative text before loading into your data warehouse.
  • Cross-system identifier linkage requires deterministic matching rules — document your linkage keys and enforce foreign key constraints in your Snowflake or Databricks data model to prevent orphaned records.

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