← Back to Dimensions

Patient Demographics

Also known as: Patient Profile, Demographic Data

EngagementdimensionHealthcare & Telemedicine

Patient Demographics captures essential non-clinical attributes such as age, gender, and location, which are crucial for understanding patient populations and tailoring healthcare services.

Business Use Case

Healthcare executives use Patient Demographics to design targeted health programs and improve patient engagement strategies.

Business Criticality

High

Journey / Navigation Area

Generic

Owning Function

Data Architecture Team

Scope

User

Calculation Notes

Ensure data is anonymized to protect privacy; exclude incomplete records.

Technical Details

Data Typelist
Lookback WindowUser

Events

SQL Queries

Google Analytics 4 (BigQuery)
-- ==========================================
-- 1. GOOGLE BIGQUERY SQL
-- ==========================================
SELECT patient_id, first_name, last_name, date_of_birth, gender, email, phone_number, address, city, state, zip_code
FROM `your-project.crm.patient_data`
WHERE active_status = 'active';
Adobe Experience Platform (AEP Query Service)
-- ==========================================
-- 2. ADOBE AEP QUERY SERVICE SQL
-- ==========================================
SELECT patient_id, first_name, last_name, date_of_birth, gender, email, phone_number, address, city, state, zip_code
FROM crm.patient_data
WHERE active_status = 'active';

Source Data

CRM

Dependencies

[ "Patient ID" ]

Report Attributes

Age Gender Location

Segment Eligibility

true

Governance

Data Sensitivityconfidential
Contains PIIYes - This Dimension contains Personally Identifiable Information

Governance

Created bydevyendarm
Created on8/25/2026
Last modified bydevyendarm
StatusPUBLISHED

GitHub

View File on GitHubcatalog/dimensions/patient-demographics.yml

Community Discussion