Client Background

A government-funded healthcare consortium in southern Sweden, managing patient data and care coordination across five public hospitals and 20+ outpatient centers. The network handles over 1.2 million patient visits annually and is responsible for end-to-end care delivery, from primary care to post-discharge management.

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Business Challenge

The consortium faced a critical barrier to care continuity and performance improvement: fragmented patient data.

Multiple legacy systems — including different EHR platforms, lab systems, and imaging archives — held siloed, redundant, and sometimes conflicting records. Clinicians lacked a unified, real-time view of patient health, especially for complex or chronic cases.

Attempts to standardize or migrate data failed due to:

• System incompatibility
• Non-standard formats
• Resistance from departments due to workflow disruption

This made AI-driven decision support, population health initiatives, and predictive analytics nearly impossible to implement.

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Consequences of the Challenge

• Delayed or duplicated care due to missing or inaccessible records
• Increased clinical risk, particularly for high-risk or chronic patients
• Stalled digital transformation initiatives, including early-warning and triage systems
• Inability to comply with upcoming EU-wide health data harmonization mandates
• Growing costs in IT operations due to data duplication and reconciliation overhead

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Approach & Solution Mindset

AccuCore Solutions approached this not as a data migration or system replacement challenge — but as a data virtualization and AI-readiness problem.

Our goal was to create a real-time, unified patient data layer across systems, while leaving the existing EHRs and hospital apps untouched. This layer would act as the foundation for clinical intelligence, AI deployment, and analytics, without disrupting day-to-day care.

• Data quality over quantity
• Zero-downtime integration
• Clinical safety and auditability
• Compliance with GDPR and national Swedish health data regulations

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Solution Delivered

AccuCore deployed a custom-built, healthcare-grade Data Unification Platform, comprising:

• Federated data connectors to pull, deduplicate, and normalize patient data in real-time from 9+ systems across hospitals and clinics.
• FHIR-compliant patient data layer allowing applications, BI tools, and AI engines to access standardized, enriched records on demand.
• AI-powered reconciliation engine that auto-resolved conflicting entries, flagged anomalies, and enriched records using NLP (e.g., extracting diagnosis insights from free-text discharge summaries).
• Zero-trust security framework with role-based access controls, consent-aware data fetching, and full audit logs per GDPR and local mandates.
• Deployed on a hybrid infrastructure, with secure APIs exposed to both on-prem and cloud-based analytics/AI systems.

The unified layer was used to deploy clinical decision support tools for early sepsis risk detection, chronic disease flagging, and post-discharge alerting — all without modifying existing hospital systems.

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Outcome & Business Value

• Unified view of longitudinal patient records across 5 hospitals and 20+ outpatient clinics
• Enabled 3 AI-based clinical support tools within 60 days of data layer stabilization
• Reduced IT cost of data reconciliation and duplication by 45%
• Improved accuracy of clinical alerts, with over 88% of early sepsis flags confirmed in real-world usage
• Compliance-ready infrastructure for Sweden's digital health exchange roadmap
• Created a foundation for future value-based care analytics, predictive modeling, and population health programs

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Strategic Takeaway

This case demonstrates AccuCore Solutions’ ability to solve highly complex, multisystem data unification challenges—not through replacement, but through smart, scalable data engineering.

For U.S. healthcare systems struggling with interoperability, siloed data, or fragmented decision-making, this is a proven blueprint. AccuCore Solutions’ approach enables healthcare networks to unlock AI-driven care optimization and operational intelligence — without disrupting legacy infrastructure or compromising compliance.