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Upload Files
Recent Imports
Add New User
Profile Settings
If uploads fail with "Missing or invalid API Key", log in or paste the server API key here. Stored in this browser only.
Pipeline Controls
Manage data ingestion pipelines for all datasets
Schema Explorer
Browse database schemas and column metadata
AI Data Liaison
Ask about schemas, ingestion status, and healthcare ontologies. Choose a prompt or type your question.
Insights
AI-generated and team-curated healthcare insights from pipeline analytics. Review, approve, and publish to the public resource center.
Knowledge Graph Schema Builder
Define which datasets become nodes and relationships in the knowledge graph. You control the schema; the system executes across all data.
Graph ETL Operations
Monitor NER normalization staging, bulk edge loads, and agentic audit trail for the knowledge graph pipeline.
PHI Governance Dashboard
Monitor PHI exposure, telemetry events, and governance status across the platform.
Jobs
Pipeline task instances. Filter by status and sort by column.
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Autonomous Schema Mapper
AI-suggested mappings based on raw data samples, categorized by confidence.
Data Quality Heatmap
Validation health across all datasets.
Stack status
Reachability of pipeline services. If containers are down, ingestion and Spark jobs will not run.
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If containers are down
On the server, remove conflicting containers and start the stack:
cd /opt/care-intel
sudo bash scripts/remove_compose_containers.sh
sudo docker compose up -dWait until zookeeper, kafka, and spark-master
are healthy (docker compose ps), then re-run pipeline tests.
Manual Data Upload
Stage and import files for pipeline gateways. Upload progress and completion status appear below.
Recent Imports
Connect New Data Source
Register new healthcare data sources (Airflow ? Spark ? Postgres/AGE).
Dataset Composition Studio BETA
Build intelligent datasets with advanced SQL joins and rich schema context.
1. Select Sources
2. Configure Join
3. Select Output Columns
Live Preview
Configure join and run preview to see sample data.
4. Save Dataset
Data Sources & Derived Views
Pipeline datasets and merged views. Pipeline = from ingestion; Derived = from Merge.
Derived Datasets
Merged views created.
System Overview
Platform Health & Key Metrics (live)
Recent Alerts
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DaaS (Best Performing Graphs)
Dataset pipeline activity by category (live)
Storage
Data discovery & lineage
Pipeline flow and dataset health – trace from ingestion to analytics
Data as a Service
Unified view of data product metrics, activity, and usage
Overview
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Recent invoices
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Conversion funnel
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Product performance
Top datasets and pipeline usage
Run pipelines to see performance data.
Analytics
Workbench request volume, visitor trends, UTM acquisition channels, and provider distribution by US state.
Workbench Requests (last 30 days)
API request volume per day from the monitoring API
UTM Acquisition Channels
Clicks by UTM platform (last 30 days)
Distinct Admin Users (7 days)
Active workbench users per day
Provider Distribution (US States)
Provider concentration by state from FindCare data
Share Clicks by Platform
UTM share click split across social platforms
Marketing & Resources
UTM tracking, social media profile management, and share-click analytics for the Care Intel platform.
Share Click Trend (last 30 days)
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Quick Links
Navigate to operations and billing sections
FindCare Panel Management
Manage all FindCare entities: facilities, providers, conditions, specialties, clinical trials, and CMS hospital data.
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Select a category action to manage datasets, preview outputs, geocoding, and AI guidance.
Feature Flags
Control rollouts and toggle system capabilities
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AI API Keys
Keys for Operations AI (OpenAI-compatible, Gemini, Claude/Anthropic). Used by FindCare AI assist, schema mapper, graph AI, and AI Liaison.
Usage Reports
AI API usage and token metrics. Use for billing and capacity planning.
Pricing & Plans
Knowledge Graph and Data Intelligence access: one-time or subscription. Choose the tier that fits your use case.
User Lookup
Find user data to support troubleshooting without SQL.