SMARTMRSA BI solution for OpenMRS

Presented by V B Wickramasinghe (148245F)

● Introduction● OpenMRS data model● SmartMRS technology stack● Why not Pentaho?● Easy OLAP● Demo

Overview

● OpenMRS is a widely used open source medical record system.● SmartMRS is a business intelligence solution for OpenMRS.● A typical OpenMRS installation accumulates large amounts of data.● This combined with the complexity of the medical domain makes it a hard

task to extract intelligence from OpenMRS manually.● But OpenMRS can provide very useful and critical insights for society if

used correctly.

Introduction

Introduction

Detect spread of disease

Detect environmental issues

Predict medicine demand

Predict medical staffing requirements

Analyze social health trends

Ensure medical data availability

Ensure medical staff efficiency

Ensure implementation of proper health policy

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OpenMRS data model is complex but centered around few main entities,

● Concept: Concepts are defined and used to support strongly coded data throughout the system● Encounter: Contains the meta-data regarding health care providers interventions with a patient.● Form: Essentially, the user interface description for the various components.● Observation: This is where the actual health care information is stored. There are many

observations per Encounter.● Order: Things/actions that have been requested to occur.● Patient: Basic information about patients in this system.● User: Basic information about the people that use this system.● Person: Basic information about person in the system.● Business: Non medical data used to administrate openmrs● Groups/Workflow: Workflows and Cohort data

OpenMRS data model

OpenMRS data model

● Python based - Because of simplicity, ad hoc style of programming and great data analysis tools etc.

● Connects directly to backend MySQL db of OpenMRS for now.

● Uses Cubes library for OLAP and data warehouse functionality.

● Uses CubesViewer frontend for online user interface● Can choose among the likes of ScikitLearn, Orange for

Data Mining.

SmartMRS technology stack

SmartMRS technology stack

Datamining

Reporting + dashboards

Data warehouse + OLAP Framework

Language + Data Integration framework

Database

Pentaho is the natural choice for open source BI solutions. Which I also investigated for SmartMRS solution. But it has some disadvantages compared to the Python/Cubes based solution.1. Complexity and sophistication of Pentaho makes it

harder to customize.2. Pentaho documentation is lacking for solution

implementers(intentionally?).3. Python vs Java

Why not Pentaho?

● Start with Cubes model definition(check IDE),● We use Observation(obs table) as fact table.● Location(location table) as dimension table.● Use country, province, area as drill down levels.● Also define observation time as a dimension.● Can drill down definitions of observations using concept

dimension.● Many other cube definitions possible.● With cubes you get a REST API for all cube queries as

well.

Easy OLAP

● Cubes ad hoc analysis● Cubes Viewer

Demo

Any Questions?

Thank You