Where Are You on Your FHIR^® Data Modernization Journey

Understanding where you stand along your data modernization journey is critical to making informed business decisions that are future-proofed. Data Modernization on FHIR isn't just about technology—it’s about aligning your business objectives, organizational mindset, and data strategy to drive long-term success.

Many organizations want to use their data to drive intelligent insights. For this to occur, they require quality data that is standardized and structured.

By answering these 8 key questions below, you'll gain a clearer picture of your current state, and uncover potential gaps on your roadmap.

FHIR Data Modernization Assessment

1. Data Ingestion & Integration

How does your organization ingest and integrate data from various sources (e.g., EHRs, payers, HIEs, wearables)?

A) We primarily receive and store raw data from multiple sources with minimal transformation. B) We have basic ingestion pipelines that standardize some formats (e.g., FHIR conversion) but inconsistencies remain. C) We use automated pipelines to ingest, validate, and map data to standard structures (e.g., FHIR, SNOMED, LOINC). D) We leverage real-time ingestion, AI-driven data mapping, and dynamic interoperability to create high-fidelity, structured data.

2. Data Deduplication & Error Resolution

How does your organization handle duplicate records and data inconsistencies?

A) We rely on manual review or siloed systems, leading to duplicate records and inconsistencies. B) We have basic deduplication processes but still struggle with conflicting or incomplete data. C) We use automated deduplication and data reconciliation techniques to ensure consistency. D) Our system continuously monitors, corrects, and enhances data quality using AI and probabilistic matching.

3. Semantic Standardization & Golden Record Creation

How does your organization achieve semantic standardization and maintain a single source of truth (golden record)?

A) Data is stored in multiple formats without consistent terminology mapping. B) We standardize data to FHIR but lack full terminology alignment (e.g., SNOMED, LOINC, RxNorm). C) We structure and map data across terminologies to create a near-complete, consistent record. D) We maintain a real-time, patient-centric golden record enriched with advanced terminology harmonization and contextual analytics.

4. Privacy, Security, and Compliance

How does your organization manage privacy, consent, and compliance requirements?

A) We rely on manual consent management and basic security measures. . B) We have role-based access and some automated compliance checks. C) We integrate FHIR-based consent and authorization models with automated auditing. D) Our system dynamically enforces consent and privacy rules with advanced AI-driven security monitoring.

5. Data Utilization & Business Intelligence

How effectively does your organization use data for decision-making and operational improvements?

A) We primarily use retrospective reports with limited analytics capabilities. B) We generate dashboards and reports with structured, standardized data. C) We use predictive analytics to optimize operations and patient care. D) Our organization leverages AI and machine learning for real-time, automated decision support.

6. Workflow & Automation

How integrated is your data with clinical and operational workflows?

A) Data is siloed, requiring manual processes to access and use it. B) Some workflows are automated, but data inconsistencies require manual intervention. C) Data is integrated into workflows, reducing manual tasks and improving efficiency. D) We use AI-driven automation to personalize workflows and enhance care delivery.

7. Adaptability to Regulatory & Industry Changes

How does your organization handle evolving regulations and industry standards?

A) We struggle to adapt and require significant effort to meet new requirements. B) We can adjust to new standards but require time and effort to implement changes. C) We proactively adapt to changes with minimal disruption through flexible data infrastructure. D) We anticipate regulatory shifts and use real-time data to drive compliance and strategy.

8. Value-Based Care & Patient Outcomes

How does your organization use data to support value-based care and improve patient outcomes?

A) Our data is not structured enough to support value-based care initiatives. B) We are beginning to use standardized data for quality measurement and reporting. C) We leverage structured data and analytics to drive care coordination and quality improvements. D) Our organization integrates real-time analytics to optimize patient care and cost efficiency dynamically.

Where Are You on Your FHIR^® Data Modernization Journey

FHIR Data Modernization Assessment

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Where Are You on Your FHIR® Data Modernization Journey

FHIR Data Modernization Assessment

Corporate Headquarters

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Where Are You on Your FHIR^® Data Modernization Journey