System: Platform Foundation (PF)Documentation Index
Fetch the complete documentation index at: https://docs.encoreos.io/llms.txt
Use this file to discover all available pages before exploring further.
Features: Object Browser (PF-23) + Custom Objects (PF-24) + Raw Data Editor (PF-25)
Created: 2025-01-27
Updated: 2025-12-05
Status: ✅ Complete
Quick Reference
When to Use Data Manager:- ✅ You need to browse/discover all data objects in system
- ✅ You need to create new entity types (custom objects)
- ✅ You need to understand object structure (fields, relationships)
- ✅ You need to manage object metadata (categories, descriptions)
- ✅ You need to browse and edit records (raw data editor)
- ✅ You need to export data to CSV (raw data export)
- ❌ You need to create a form → Use Form Builder (FW-01)
- ❌ You need to extend existing entity → Use Custom Fields (PF-16)
- ❌ You need to control field visibility → Use Entity Field Configuration (PF-17)
What Is Data Manager?
Data Manager provides a unified interface for browsing, managing, and discovering data objects across the Encore Health OS platform. It consists of:- Object Browser (PF-23): Browse all objects (core + custom), view metadata, manage categories
- Custom Objects (PF-24): Create new entity types with custom fields
- Raw Data Editor (PF-25): Browse, edit, and export records from core objects
- Unified view of all data objects
- Object discovery and metadata management
- Custom object creation and management
- Category organization
- Favorites/bookmarks
- Raw data browsing and inline editing
- CSV export functionality
Common Use Cases
Use Case 1: Discover Available Objects
Scenario: You’re new to the system and want to see what data objects exist (employees, residents, invoices, etc.). Solution: Use Object Browser (PF-23) Why Object Browser:- Unified view of all objects
- Search and filter capabilities
- Category organization
- Object metadata (API names, descriptions)
- Navigate to Settings → Data Manager
- Browse objects by category (HR, Finance, Operations)
- Search for specific objects
- View object details (fields, metadata)
- Favorite frequently-used objects
- Discover objects without navigating each module
- Understand object structure and relationships
- Quick access to frequently-used objects
Use Case 2: Create Clinical Licenses Entity
Scenario: Your organization needs to track clinical licenses (RN, LCSW, etc.) with fields like license number, expiration date, renewal status. Solution: Use Custom Objects (PF-24) Why Custom Objects:- New entity type (not extending existing entity)
- Need to track multiple records over time
- Need CRUD operations (create, read, update, delete)
- Need to query and report on records
- Navigate to Settings → Data Manager
- Click “Create Custom Object”
- Enter object details:
- Name: “Clinical Licenses”
- API Name:
clinical_licenses - Category: HR & Workforce
- Add fields using PF-16 field definitions:
- License Type (select, picklist: license_types)
- License Number (text, required)
- Issue Date (date)
- Expiration Date (date, required)
- Status (select, picklist: license_status)
- Save object
- Object appears in Data Manager
- Create/manage records in object
- Not one-time data capture (tracking records over time)
- Need CRUD operations (not just submissions)
- Need to query and report on records
- Not extending existing entity
- New entity type (not metadata on existing records)
Use Case 3: Browse and Edit Employee Records
Scenario: You need to view all employees and update their custom field values (badge numbers, shirt sizes). Solution: Use Raw Data Editor (PF-25) Why Raw Data Editor:- Browse records from core objects
- View standard + custom fields together
- Inline editing for custom fields
- Bulk export to CSV
- Navigate to Settings → Data Manager
- Click on “Employees” object
- Select the “Raw Data” tab
- Browse employee records with search and pagination
- Click any custom field cell to edit inline
- Make changes and click “Save Changes”
- Use Export button to download CSV
- View all fields (standard + custom) in one table
- Edit custom field values without opening each record
- Export data for reporting or backup
Use Case 4: Export Data to CSV
Scenario: You need to export all resident records to CSV for a compliance report. Solution: Use Raw Data Editor Export (PF-25) Why Raw Data Editor:- Export ALL records (bypasses pagination)
- Includes standard + custom fields
- Applies current search filter
- Downloads as CSV
- Navigate to Settings → Data Manager
- Click on “Residents” object
- Select the “Raw Data” tab
- (Optional) Use search to filter records
- Click the Export button (Download icon)
- CSV file downloads with all matching records
- Column headers use field labels (not API keys)
- Date fields formatted as ISO 8601
- Boolean fields export as “Yes”/“No”
- Filename includes object name, record count, and date
Use Case 5: Organize Objects by Category
Scenario: You want to organize objects into categories (HR, Finance, Operations) for easier navigation. Solution: Use Object Browser (PF-23) Why Object Browser:- Category management
- Object categorization
- Filter by category
- Navigate to Settings → Data Manager → Categories
- Create/edit categories:
- HR & Workforce
- Finance & Accounting
- Operations & Facilities
- Assign objects to categories
- Filter objects by category
- Organized object discovery
- Easier navigation
- Better user experience
Use Case 6: View Object Structure
Scenario: You’re building an integration and need to understand object structure (fields, API names, relationships). Solution: Use Object Browser (PF-23) Why Object Browser:- Object detail view
- Field listing (standard + custom)
- API name display
- Metadata information
- Navigate to Settings → Data Manager
- Click on object (e.g., “Employees”)
- View object details:
- API Name:
hr_employees - Fields: Standard fields + custom fields
- Category: HR & Workforce
- Description: Object description
- API Name:
- Use API name and field structure for integration
- Understand object structure
- Get API names for integration
- See all fields (standard + custom)
When NOT to Use Data Manager
❌ Don’t Use Data Manager For: Creating Forms
Example: “I need to create a resident intake form” Why Not Data Manager:- Not creating new entity type
- Creating data capture interface (form)
- One-time data capture (form submission)
❌ Don’t Use Data Manager For: Extending Existing Entities
Example: “I need to add badge_number to employees” Why Not Data Manager:- Not creating new entity type
- Extending existing entity (hr_employees)
- Adding metadata field
❌ Don’t Use Data Manager For: Controlling Field Visibility
Example: “I want to hide salary field from non-admins” Why Not Data Manager:- Not creating new entity
- Controlling existing entity form
- Field visibility configuration
Integration with Other Systems
Data Manager + Custom Fields (PF-16)
Use Case: Custom object needs fields Example: Clinical Licenses object needs license fields Implementation:- Create custom object (PF-24)
- Add fields using PF-16 field definitions
- Fields appear in object detail view
- Use fields in custom object records
- Reuse PF-16 field definitions
- Consistent field types and validation
Data Manager + Picklists (PF-15)
Use Case: Custom object field needs dropdown values Example: License Type field needs license types (RN, LCSW, etc.) Implementation:- Create picklist:
license_types - Create custom object field (PF-24)
- Select field type:
select - Choose picklist:
license_types - Field renders with picklist values
- Reusable picklist values
- Consistent values across system
Data Manager + Forms (FW-01)
Use Case: Form needs to reference custom object Example: Intake form needs to select clinical license Implementation:- Create custom object: Clinical Licenses (PF-24)
- Create form (FW-01)
- Add lookup field (FW-15):
- Data Source: Table Lookup
- Table:
pf_custom_object_records(filtered by custom_object_id)
- Form renders with licenses from custom object
- Forms can reference custom objects
- Real-time data from custom objects
Decision Tree
Raw Data Editor Features (PF-25)
Supported Tables
hr_employees- Employee recordsrh_residents/rh_resident_profiles- Resident recordsfa_invoices- Invoice recordsfa_vendors- Vendor recordsfa_customers- Customer recordsfw_forms- Form definitions
Feature Summary
| Feature | Description |
|---|---|
| Browse Records | View all records with pagination (25/50/100 per page) |
| Search | Filter by name/identifier fields |
| Sort | Click column headers to sort |
| Inline Edit | Click custom field cells to edit in place |
| Batch Save | Save all changes at once |
| CSV Export | Export all matching records to CSV |
Export Details
- Exports ALL records matching current search (bypasses pagination)
- Column headers use field labels, not API keys
- Date fields formatted as ISO 8601 (YYYY-MM-DD)
- Boolean fields export as “Yes” / “No”
- Filename format:
{object_name}_{count}_records_{date}.csv
Examples by Module
HR & Workforce
- Custom Objects:
- Clinical Licenses (track licenses with expiration dates)
- Training Classes (track training sessions)
- Performance Goals (track employee goals)
- Object Browser:
- Browse: Employees, Departments, Positions
- View: Employee fields, custom fields
- Manage: Object metadata, categories
- Raw Data Editor:
- Browse employee records
- Edit custom fields (badge numbers, etc.)
- Export employee data to CSV
Finance & Accounting
- Custom Objects:
- Budget Categories (track budget categories)
- Cost Centers (track cost centers)
- Vendor Categories (track vendor types)
- Object Browser:
- Browse: Invoices, Transactions, Accounts
- View: Invoice fields, custom fields
- Manage: Object metadata, categories
- Raw Data Editor:
- Browse invoice records
- Export invoice data for reporting
Operations & Facilities
- Custom Objects:
- Asset Types (track asset categories)
- Maintenance Schedules (track maintenance)
- Inventory Categories (track inventory types)
- Object Browser:
- Browse: Work Orders, Assets, Inventory
- View: Work order fields, custom fields
- Manage: Object metadata, categories
Best Practices
1. Use Descriptive API Names
✅ Do: Use snake_case, descriptive names (clinical_licenses, training_classes)❌ Don’t: Use abbreviations (
clin_lic, train_cls)
2. Organize by Category
✅ Do: Assign objects to appropriate categories❌ Don’t: Leave objects uncategorized
3. Add Object Descriptions
✅ Do: Add descriptions to objects (help users understand purpose)❌ Don’t: Leave objects without descriptions
4. Use Favorites
✅ Do: Favorite frequently-used objects❌ Don’t: Navigate to objects manually every time
5. Reuse Field Definitions
✅ Do: Use PF-16 field definitions for custom object fields❌ Don’t: Create duplicate field definitions
6. Use Raw Data Editor for Bulk Updates
✅ Do: Use inline editing for bulk custom field updates❌ Don’t: Open each record individually
Common Mistakes
Mistake 1: Using Custom Objects for Forms
Problem: Creating custom object for intake formSolution: Use Form Builder (FW-01) instead
Mistake 2: Using Custom Objects for Entity Extension
Problem: Creating custom object to add badge_number to employeesSolution: Use Custom Fields (PF-16) instead
Mistake 3: Not Using Categories
Problem: Objects not organized, hard to findSolution: Assign objects to categories
Mistake 4: Not Adding Descriptions
Problem: Objects without descriptions, unclear purposeSolution: Add descriptions to all objects
Mistake 5: Editing Standard Fields in Raw Data Editor
Problem: Trying to edit standard fields (read-only)Solution: Use module-specific forms for standard field updates; Raw Data Editor is for custom fields
Related Documentation
- PF-23: Object Browser Spec
- PF-24: Custom Objects Spec
- PF-25: Raw Data Editor Spec
- PF-16: Custom Field Definitions Spec
- Custom Objects Use Case Guide
- Clarity Analysis
Last Updated: 2025-12-05
Next Review: After user feedback