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What is Hadm_ID in MIMIC?

Published in MIMIC Database Identifier 2 mins read

In the MIMIC (Medical Information Mart for Intensive Care) database, Hadm_ID stands for Hospital Admission ID. It is a unique identifier that represents a specific, singular admission of a patient to the hospital.

Understanding Hadm_ID

Hadm_ID plays a crucial role in organizing and accessing patient data within the MIMIC database. It acts as a primary key for many tables related to a patient's stay, allowing researchers and clinicians to link various data points—from lab results and vital signs to medications and diagnoses—to a particular episode of care.

Key Characteristics of Hadm_ID

Characteristic Description
Purpose Identifies a unique admission to the hospital.
Data Type An integer number.
Uniqueness Each Hadm_ID is unique to a specific hospital admission.
Scope Encompasses all events and data points occurring during one continuous stay.

Importance in Data Analysis

For anyone working with MIMIC data, understanding Hadm_ID is fundamental for several reasons:

  • Data Aggregation: It allows for the aggregation of all clinical events, interventions, and outcomes that occurred during a single hospital visit. This is essential for studying a patient's entire course of treatment during an admission.
  • Patient Journey Tracking: While a Subject_ID tracks an individual patient across multiple hospital visits, Hadm_ID isolates and defines each distinct admission. This helps in analyzing patterns related to specific admissions, such as readmission rates or outcomes for particular types of stays.
  • Querying and Filtering: When querying the database, Hadm_ID is frequently used to filter data, ensuring that analyses are focused on events relevant to a specific hospital stay. For example, you might want to retrieve all lab results for a given admission rather than across all admissions for a patient.
  • Linking Tables: Hadm_ID serves as a foreign key in numerous tables within the MIMIC database schema, such as DIAGNOSES_ICD, PRESCRIPTIONS, LABEVENTS, and CHARTEVENTS. This relational structure allows for comprehensive data retrieval associated with a particular admission.

By using Hadm_ID, researchers can precisely define and analyze episodes of care, which is vital for clinical research, predictive modeling, and quality improvement initiatives in healthcare.