Data Collection

This guide covers the data collection features in Cognix Health, designed to help you gather and analyze client data efficiently.

Mobile Data Collection

Basic Features

1. Data Entry Tools

• Quick-entry forms
• Customizable templates
• Real-time validation
• Offline capability

2. Data Types

• Frequency counts
• Duration tracking
• Rating scales
• Qualitative notes
• Photo/video documentation

Advanced Features

1. Smart Collection

• Timer-based tracking
• Interval recording
• Behavior tracking
• Progress monitoring

2. Data Validation

• Required fields
• Range validation
• Error checking
• Data quality alerts

Data Templates

Template Types

1. Standard Templates

• Behavior tracking
• Skill acquisition
• Goal progress
• Assessment forms
• Treatment outcomes

2. Custom Templates

• Create new templates
• Modify existing ones
• Share across practice
• Set default values

Template Configuration

1. Field Types

• Text entry
• Multiple choice
• Checkboxes
• Rating scales
• Date/time fields
• File attachments

2. Template Settings

• Required fields
• Conditional logic
• Calculation formulas
• Auto-population rules

Data Analysis

Real-time Analytics

1. Progress Monitoring

• Trend analysis
• Goal tracking
• Comparison charts
• Progress reports

2. Visual Reports

• Line graphs
• Bar charts
• Progress indicators
• Success metrics

Data Export

1. Export Options

• CSV downloads
• PDF reports
• Data summaries
• Raw data access

2. Report Generation

• Custom reports
• Scheduled exports
• Automated summaries
• Data visualization

Data Security

Privacy Controls

1. Access Management

• Role-based access
• Data permissions
• Sharing controls
• Audit tracking

2. Security Features

• Data encryption
• Secure storage
• HIPAA compliance
• Data backups

Data Governance

1. Retention Policies

• Storage duration
• Archive rules
• Deletion policies
• Recovery options

2. Compliance Features

• Audit trails
• Change tracking
• Version control
• Data integrity checks

Best Practices

Data Collection

1. Quality Assurance

• Regular validation
• Consistency checks
• Error monitoring
• Data cleaning

2. Efficiency Tips

• Use quick-entry forms
• Implement templates
• Enable auto-save
• Regular backups

Data Management

1. Organization

• Consistent naming
• Proper categorization
• Regular reviews
• Clean-up routines

2. Training Requirements

• Staff training
• Documentation guides
• Best practices
• Quality standards

Remember to maintain data accuracy and security while maximizing the efficiency of your data collection processes.