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    Smile Health Data Platform | FHIR® Interoperability

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    FHIR native platform to ingest, normalize, store, and share health data with APIs, consent, MDM, CQI The Smile Health Data Platform is a configurable, FHIR-first platform that integrates with existing cloud infrastructure, software, and healthcare compliance and performance monitoring workflows. It serves as an innovation accelerator with event-driven capabilities (FHIR Subscriptions), clinical reasoning for real-time care-gap analysis, and a composable architecture.

    Overview

    Smile Digital Health capabilities

    FHIR first platform: A FHIR native platform for scalable, flexible, and secure health data operations, seamless ingestion and normalization, FHIR native storage, and robust interoperability via developer APIs. Includes user and consent management with auditing and patient centered capabilities to support engagement and analytics on trusted data.

    Unify: Centralize multi source data and transform legacy formats into FHIR resources. With CDA Exchange+, enable seamless exchange, ingestion, and transformation of CDA documents into FHIR, backed by enhanced validation and out of the box mappings between CCDA 2.1 FHIR R4 and US Core 6.1 for better reuse across systems.

    Enrich: Create a single, accurate view across FHIR resources with Master Data Management (MDM), including advanced matching and de-duplication across entities, FHIR resource synchronization, configurable governance and hierarchy management, and real-time updates that enhance data integrity and downstream experiences.

    Elevate: Improve clinical quality by continuously checking data quality and surfacing actionable care gaps inside clinician workflows. The Clinical Quality Intelligence Suite, including digital Quality Measures (dQM) validated by NCQA for digital HEDIS, calculates measures within minutes of data arrival and flags care gaps at the point of care. Advanced tiers use FHIR Plan Definitions and CQL to operationalize measures and guidelines across authorization, quality, and decision support.

    Comply: Smile CMS Comply delivers the essentials to meet CMS interoperability guidelines (CMS0057F), with a streamlined setup for mandated FHIR APIs that enables secure data exchange and regulatory readiness. For deeper automation, Comply & Automate adds prior authorization components and optional CQIS integration to reduce manual work and accelerate decisions.

    Highlights

    • Smile Health Data Platform built on FHIR open standards and can ingest legacy data from a variety of systems and formats into future-ready, actionable FHIR resources.
    • The Smile Digital Health Platform can ingest data in a variety of formats: CSV, JSON, XML, HL7 v2, HL7 v3, and offers full support for multiple FHIR versions, ensuring your data is structured for standardized, secure exchange, tailored to your needs. This gives your organization full access to your network data without locking it into any one vendor system.
    • The solution is fully compliant with global standards: HITRUST v9.4, ISO3 13485:2016, ISO/IEC4 27001, SOC- 2 Type I and SOC-2 Type II. Sensitive health data is protected with AES256 encryption, multi-factor authentication (MFA), and role based access control (RBAC).

    Details

    Delivery method

    Deployed on AWS
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    Pricing

    Smile Health Data Platform | FHIR® Interoperability

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    1-month contract (1)

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    Dimension
    Description
    Cost/month
    Per_Unit
    Includes application hosting and support (Additional fees for storage
    $4,167.00

    Vendor refund policy

    Smile is committed to our client's success and will provide the support required.

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

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    Support

    Vendor support

    AWS infrastructure support

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    Overview

     Info
    AI generated from product descriptions
    Data Ingestion and Transformation
    Supports multi-source data ingestion from CSV, JSON, XML, HL7 v2, HL7 v3, and transforms legacy formats into standardized FHIR resources
    FHIR Interoperability
    Native FHIR platform with comprehensive support for multiple FHIR versions and seamless data exchange capabilities
    Master Data Management
    Advanced matching and de-duplication across entities with configurable governance, resource synchronization, and real-time data integrity updates
    Clinical Quality Intelligence
    Integrated suite for digital quality measures calculation, care gap identification, and clinical reasoning using FHIR Plan Definitions and CQL
    Security Compliance
    Implements AES256 encryption, multi-factor authentication, role-based access control, and compliance with global standards including HITRUST v9.4, ISO 13485:2016, ISO/IEC 27001, SOC-2
    FHIR Storage
    PostgreSQL-based storage with JSONB support for comprehensive FHIR data management
    API Ecosystem
    Multiple API interfaces including HL7 FHIR REST, GraphQL, Reactive, SQL, Bulk, and Validation APIs
    Security Framework
    Built-in authorization server with OAuth 2.0, OpenID Connect, and granular access control policies
    Terminology Management
    FHIR terminology API with pre-built terminology bundles including SNOMED, LOINC, and ICD-10
    Profile Configuration
    Support for multiple FHIR implementation guides and custom profile development using zen FHIR profiles
    Data Ingestion
    Proprietary adapters for ingesting data from multiple sources including EHRs, HL7, payer files, and exogenous data with active data quality monitoring
    Data Matching and Normalization
    Proprietary Master Patient Index (MPI) for matching members and data sources, de-duplication, and normalization to a common dataset
    Natural Language Processing
    Advanced NLP engine for processing unstructured data and converting it into structured, analyzable format
    Predictive Analytics
    AI-powered training dictionary enabling predictive analytics and next best-action algorithms for patient impact identification
    Data Lake Architecture
    Simplified, extensible data model with aggregated data stored in an exposed, in-spec data lake supporting custom reporting and analysis

    Contract

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    Standard contract
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