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Data Platform

Updated over a month ago

Data Platform

Medecision Data Platform Overview

The Medecision Data Platform is a cloud-native, enterprise-grade foundation that powers all modular applications across the Medecision ecosystem—including Care Management, Utilization Management, Clinical Intelligence, Appeals & Grievances, and Digital Engagement. It is designed to ingest, transform, store, analyze, and operationalize health data at scale in real time.


Core Architecture Components

Component

Description

Canonical Data Model

Unified schema across members, programs, tasks, requests, and clinical data

Event-Driven Ingestion

Real-time and batch ingestion from ADT, claims, SDOH, labs, EHR, and APIs

Processing Layer

Data validation, normalization, enrichment, and de-duplication workflows

Secure Storage

HIPAA-compliant, cloud-based warehousing for structured and semi-structured data

Analytics Layer

Embedded dashboards, BigQuery integration, and real-time metrics APIs

Interoperability APIs

FHIR R4 and RESTful endpoints for data input/output


Supported Data Types

Type

Examples

Member Demographics

Enrollment, eligibility, addresses, coverage data

Claims & Encounters

Professional, institutional, pharmacy, EDI 837, 835

Clinical Documents

CCD, FHIR bundles, LOINC-based lab results

Assessments & Surveys

HRA, PHQ-9, patient-reported outcomes

ADTs & Hospital Events

HL7, FHIR Encounter, admission/discharge notifications

Tasks & Programs

Structured work and programmatic metadata from applications

Social Determinants of Health (SDOH)

Screening results, risk indicators, geographic data

Correspondence & Letters

PDF files, outbound letters, audit trails


Data Ingestion Methods

  • Batch Uploads: SFTP file drops (e.g., claims files, rosters)

  • Real-Time Streaming: HL7 and FHIR-based ingestion (e.g., ADT alerts)

  • Manual Entry: Intake forms and UI-based workflows

  • API-Based Submissions: EMR and CRM system integrations using REST/FHIR

All data is processed through a validation and enrichment pipeline before surfacing to applications.


Data Processing & Enrichment

  • Deduplication: Identity resolution across member sources

  • Code Mapping: Normalization to standard taxonomies (ICD, SNOMED, LOINC, NDC)

  • Risk Tagging: Predictive tagging (e.g., high-risk diagnosis, cost flags)

  • Stratification: Population segmentation using Clinical Intelligence Builders

  • Geocoding: Location-based SDOH overlay and resource recommendations


Analytics and Reporting

  • Embedded Dashboards: Visuals by module (e.g., task backlog, program reach rate)

  • BigQuery & BI Tools: Enterprise access for self-service analytics

  • Real-Time Metrics: API access to counts, performance, engagement, and compliance KPIs

  • Pre-Built Reports: CMS audit support, productivity dashboards, gap closure tracking


Interoperability

  • FHIR R4 APIs: Read/write access for member, request, task, assessment, and coverage resources

  • Custom REST APIs: For legacy system integration, data export, and automation workflows

  • Webhooks: Event-driven notifications for external systems (e.g., auth decision returned to EMR)

  • Inbound/Outbound EDI Support: For claims, eligibility, and billing workflows


Security and Compliance

  • HIPAA, HITRUST, and SOC 2-compliant infrastructure

  • Role-based access control (RBAC) and data-level permissions

  • Full data lineage and audit trail logging

  • Support for encryption in transit and at rest (AES-256)


Key Use Cases

Use Case

Description

UM Auto-Decisioning

Real-time rules applied to clinical intake and eligibility data

Care Stratification

Dynamic population scoring with Clinical Intelligence Builder

Program Enrollment

Member auto-enrollment triggered by event ingestion (e.g., ADT, Dx)

Regulatory Reporting

Real-time CMS audit tracking for appeals and grievances

Digital Outreach Targeting

Campaign logic based on risk scores, claims, or clinical gaps


Governance and Promotion

  • Configuration changes to data processing logic and mappings follow Medecision’s change control and governance workflows

  • Builder-driven rules for population, risk scoring, and ingestion logic

  • Staging and production environment separation with promotion approvals


The Medecision Data Platform underpins every intelligent action and workflow across the ecosystem. It transforms diverse healthcare data into actionable insights, enabling care teams, operations, and clients to operate at scale with confidence and precision.

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