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imaging sequence

img_seq
clinical·Updated Jun 23, 2026

Definition

ISO-11179 Definition

A numeric or alphanumeric ordering value that defines the position of a diagnostic imaging record within a series, workflow step, or multi-phase scan protocol as stored in EHR and RIS systems. Data engineers use this field to reconstruct ordered imaging series during data ingestion, support DICOM metadata alignment, and ensure correct record sequencing in radiology analytics pipelines.

Standard Abbreviation

img_seq

Category

clinical

Production DDL — FACT_CLINICAL_EVENT

FACT_CLINICAL_EVENT.sql
CREATE OR REPLACE TABLE FACT_CLINICAL_EVENT (
    clin_evt_key  INTEGER        NOT NULL  -- surrogate key,
    mbr_key       INTEGER        NOT NULL  -- FK to DIM_MEMBER,
    prvdr_key     INTEGER        NOT NULL  -- FK to DIM_PROVIDER,
    diag_cd       VARCHAR(10)              -- ICD-10 diagnosis code,
    hcc_cd        VARCHAR(10)              -- HCC category code,
    proc_cd       VARCHAR(10)              -- procedure code,
    svc_dt        DATE                     -- service date,
    pos_cd        VARCHAR(2)               -- place of service,
    raf_scr       DECIMAL(10,3)            -- RAF score,
    admit_dt      DATE                     -- admission date,
    dsch_dt       DATE                     -- discharge date,
    drg_cd        VARCHAR(10)              -- DRG code,
    los_days      SMALLINT                 -- length of stay,
    readmt_ind    CHAR(1)                  -- readmission indicator,
    load_dt       TIMESTAMP_NTZ  NOT NULL  -- load timestamp
);

Standard Snowflake DDL for the canonical clinical table. Convert to BigQuery or Databricks →

Why This Term Matters

Clinical terms are the building blocks of risk adjustment, quality measurement, and value-based care analytics. A data engineer who understands this terminology can design schemas that correctly capture patient conditions, procedures, and encounters — enabling accurate HCC scoring, HEDIS measure attribution, and CMS reporting. Misclassifying clinical fields in a data warehouse cascades into incorrect RAF scores and failed regulatory submissions.

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