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Introduction

This is a technical documentation for “factor-based” concept ranges. For the background of these ranges, refer to the main documentation.

The criteria field in the concept_reference_range table allows for the dynamic and flexible validation of observations based on various patient attributes.

Architecture

The key challenge in implementing this feature was to design a system that does not require extensive changes to the existing database structure while still being robust and flexible enough to handle a variety of criteria based on different patient factors.

The solution involves introducing two new tables:

  • concept_reference_range: This table holds the absolute, critical, and normal ranges along with a criteria column. The criteria column contains velocity text expressions that evaluate to true or false.

  • obs_reference_range: This table stores reference ranges that have been used in validation after the criteria have been applied.

These tables allow for storage of different ranges. However, concept_reference_range includes criteria expressions for factors - which can be combinations for different factors like age and gender. For example:

  • concept_numeric able:

    • concept_id: 1, name: “Systolic blood pressure”, hi_critical: 130.0, hi_normal: 120.0, hi_absolute: 120.0, low_critical: 100.0, low_normal: 150.0, low_absolute: 120.0

    • concept_id: 2, name: “Temperature”, hi_critical: 40.0, hi_normal: 37.0, hi_absolute: 37.0, low_critical: 35.0, low_normal: 36.5, low_absolute: 36.8

  • concept_reference_range Table:

    • concept_reference_range_id: 1, concept_id: 1, criteria: ”$patient.getAgeInMonths() > 1 && $patient.getAgeInMonths() < 3”, hi_critical: 100.0, hi_normal: 80.0, hi_absolute: 80.0, low_critical: 50.0, low_normal: 64.0, low_absolute: 60.0

    • concept_reference_range_id: 2, concept_id: 1, criteria: ”$patient.getAge() > 18 && $patient.getAge() < 70”, hi_critical: 130.0, hi_normal: 120.0, hi_absolute: 120.0, low_critical: 60.0, low_normal: 80.0, low_absolute: 90.0

This design allows for easy updates and expansions of criteria without requiring changes to the underlying database schema.

Business Logic Flow

 

Screenshot 2024-08-19 at 17.59.53.png

Schema changes

This section details the new tables and relationships added to the OpenMRS data model to support factor-based concept ranges.

Note: The complete data model is documented here. This document only highlights the new schema additions relevant to factor-based concept ranges.


1. concept_reference_range Table

The concept_reference_range table is designed to store detailed reference ranges for concepts, along with criteria that determine when these ranges apply.

Table Structure:

Column Name

Data Type

Description

concept_reference_range_id

INT

Primary key. Unique identifier for each concept reference range.

concept_id

INT

Foreign key linking to concept_numeric.

criteria

VARCHAR

An expression that specifies conditions for when the reference range is applicable.

hi_critical

DOUBLE

The high critical for the concept.

hi_normal

DOUBLE

The high normal for the concept.

hi_absolute

DOUBLE

The high absolute for the concept.

low_critical

DOUBLE

The low critical for the concept.

low_normal

DOUBLE

The low normal for the concept.

low_absolute

DOUBLE

The low absolute for the concept.

Relationship:

1:N relationship with concept_numeric: A single concept can have multiple reference ranges based on different criteria.


2. obs_reference_range Table

The obs_reference_range table records the validated reference range for a specific observation (Obs).

Table Structure:

Column Name

Data Type

Description

obs_reference_range_id

INT

Primary key. Unique identifier for each observation reference range.

obs_id

INT

Foreign key linking to the obs table.

hi_critical

DOUBLE

The high critical limit for the observation.

hi_normal

DOUBLE

The high normal limit for the observation.

hi_absolute

DOUBLE

The high absolute limit for the observation.

low_critical

DOUBLE

The low critical limit for the observation.

low_normal

DOUBLE

The low normal limit for the observation.

low_absolute

DOUBLE

The low absolute limit for the observation.

Relationship:

Has 1:1 relationship with obs: Each observation has one associated reference range.

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