Overview of the Data Platform
Medecision Data Platform Overview
The Medecision Data Platform is the foundation for ingesting, transforming, enriching, and exposing data across the full suite of workflow applications. It ensures data integrity, real-time availability, interoperability, and compliance—powering decision support, reporting, and workflow automation across care and utilization management functions.
Core Components
1. Data Ingestion Engine
Supports batch and real-time data ingestion (e.g., HL7, FHIR, X12, CSV, API)
Monitors inbound feeds from clients, providers, labs, payers, HIEs, and state data sources
Real-time event stream handling for ADT, claims, and member updates
Built-in error handling, retry logic, and feed monitoring dashboards
2. Data Lake & Canonical Model
Stores raw and transformed data with lineage tracking
Canonical data model standardizes data across multiple source systems
Scalable cloud-based storage with partitioning and performance indexing
Supports historical replay and snapshot capabilities
3. Transformation & Mapping Services
Low-code mapping tools for business rules, code set normalization (ICD, CPT, NDC)
Derived field creation for stratification, triggers, or metrics
Custom enrichment logic to tag data (e.g., high-risk member, missed appointment, non-compliance)
Inline validation rules, deduplication, and translation logic
4. Data Enrichment & Clinical Intelligence Hooks
Integration with Clinical Intelligence Engine for real-time rule execution
Adds SDOH, behavioral, and engagement data to enrich claims and clinical data
Derives key indicators like risk scores, gaps in care, and program eligibility
Flags for AI/ML model inputs and trigger pathways
5. APIs & Integration Layer
RESTful APIs to expose structured data to external systems or portals
FHIR API endpoints for member, coverage, claim, encounter, and observation resources
Event-driven webhooks and data subscriptions
Client-specific API proxies and scoped access tokens
Reporting Support
Power data marts for embedded analytics and third-party BI tools (e.g., Looker, Tableau, BigQuery)
Near real-time refresh on key metrics and stratifications
Programmatic export options (e.g., SFTP, API, scheduled batch)
Dashboard-ready feeds for CM/UM metrics, campaign attribution, and program performance
Security & Compliance
HIPAA-compliant infrastructure with end-to-end encryption
Fine-grained access controls and audit logging at every data touchpoint
Data segmentation by client, plan type, and user role
Data retention and archiving based on regulatory and contractual requirements
Interoperability & Standards
Native support for:
HL7 v2 (ADT, ORU)
FHIR R4
X12 837, 835
CCD/C-CDA
Built-in translators and validators for crosswalks between standards
Terminology services for code set expansion, SNOMED to ICD mappings, and lab code normalization
Extensibility & Client-Specific Customization
Data pipelines can be extended per client needs
Client-specific transformation rules, enrichment logic, and API views
Ability to partition pipelines by line of business or data domain
Integrates with client-hosted analytics environments via secure connections
Operational Monitoring & Governance
Real-time ingestion dashboards for monitoring data freshness and error rates
Feed status alerting (email, SMS, dashboard)
Data governance tools for feed cataloging, version control, and audit history
Data steward interface for manual overrides, field-level editing, and rule simulation
Integration with Platform Workflows
Feeds Clinical Intelligence Engine and all Builder tools
Source of truth for reporting, dashboarding, and API data pulls