Best Practices for Creating Reports
This guide outlines proven practices for creating maintainable, reliable, and user-friendly reports in OpenMRS.
Building effective reports requires more than technical knowledge—it demands thoughtful design, consistent standards, and attention to the user experience. This guide covers essential best practices including user-centered design principles that match reports to their intended audience, performance optimization techniques to ensure reports run efficiently, and standardized naming conventions that make reports easy to find and maintain. Following these practices will help you create reports that are not only functional but also sustainable and user-friendly over time.
Report Design Principles
1. User-Centered Design
Know Your Audience:
Clinicians: Need patient-level details, quick access
Managers: Need summary statistics, trends
Government: Need standardized formats, specific indicators
Design for Use Cases:
Daily Operations: Fast, focused reports
Monthly Review: Comprehensive summaries
Annual Reports: Historical trends, comparisons
2. Performance Considerations
Optimize for Speed:
Limit date ranges when possible
Use indexes effectively in SQL queries
Consider breaking large reports into smaller ones
Test with realistic data volumes
Resource Management:
Avoid running multiple large reports simultaneously
Schedule resource-intensive reports for off-peak hours
Monitor system performance impact
3. Data Quality
Validate Results:
Cross-check with known data sources
Test with different parameter combinations
Verify edge cases (empty results, large datasets)
Handle Missing Data:
Document data availability limitations
Provide clear explanations for null values
Consider default values for missing parameters
Naming Conventions
Consistent Naming Strategy
Report Names:
[Department] [Type] Report(e.g., "HIV Monthly Report")[Purpose] [Frequency](e.g., "Quality Indicators Quarterly")
Cohort Query Names:
[Population] [Criteria](e.g., "Pediatric TB Patients")[Program] [Status](e.g., "HIV Active Enrollments")
Indicator Names:
[What] [Calculation](e.g., "New TB Cases Count")[Numerator] [Denominator] Rate(e.g., "TB Success Rate")
Parameter Names:
Use standard names:
startDate,endDate,locationBe descriptive:
enrollmentLocation,treatmentEndDate
Documentation Standards
Report Documentation
Description Fields:
Purpose and intended audience
Key assumptions or limitations
Data sources and definitions
Frequency recommendations
Parameter Documentation:
Clear labels for user interface
Help text explaining complex parameters
Default value recommendations
Valid ranges or constraints
Change Management
Version Control:
Document significant changes
Maintain change history
Test before deploying changes
Communicate changes to users
Backup Strategy:
Export report definitions regularly
Document custom SQL queries
Maintain configuration documentation
Error Handling
Common Error Prevention
Parameter Validation:
Set reasonable default values
Validate date ranges (end > start)
Check for required parameters
Handle empty parameter lists
Data Validation:
Check for voided records
Handle null values appropriately
Validate foreign key relationships
Account for data entry errors
User-Friendly Error Messages
Instead of: "SQL Error: Unknown column 'xyz'" Use: "Report configuration error. Please contact system administrator."
Include:
Clear description of the problem
Suggested solutions or next steps
Contact information for help