Microsoft Fabric is already out there, and today, we’re here to discuss its exciting development in the world of healthcare data solutions. Let’s delve into how it can transform your organization’s approach to data and analytics.
Microsoft Fabric is a cutting-edge data solution that is designed to bring cohesion and clarity to the vast amounts of data collected in your organization. It’s a game-changer, offering a comprehensive suite of features to address all your data needs, from ingestion to analysis.
Imagine being able to unify data from different sources, harmonize it, and then transform and analyze it all with one solution. By doing so, it enhances analytics and AI workload capacities, facilitating more connected patient care experiences, empowering healthcare professionals, and maximizing the value derived from clinical and operational data. This would streamline your process and potentially uncover insights that were previously hidden in the disjointed data set. That’s the power of Microsoft Fabric.
Maximize Your Data's Potential
The data solutions built on the robust Microsoft Fabric Lakehouse architecture support a seamless integration and transformation of multi-modal healthcare data from various sources, including EHRs, PACS, lab systems, and medical devices. This holistic approach brings together structured, unstructured, imaging, and device data under one common architecture.
Main Offerings and Improvements
- Fast Healthcare Interoperability Resources (FHIR) Data Ingestion: Facilitates the straightforward integration of FHIR data from Azure Health Data Services into the Microsoft Fabric Onelake environment, where it is efficiently stored as raw newline-delimited JavaScript Object Notation (NDJSON) files in the bronze lakehouse.
- Relational FHIR Data Foundation: Enables streamlined conversion of FHIR data from bronze to a structured format in the Silver Lakehouse using scalable pipelines, creating a unified healthcare data model. This supports diverse analytics, including clinical, financial, and administrative analysis, and allows for various analytical applications like quality reporting and population health management. It also supports ad-hoc analysis using traditional SQL engines.
- Text Analytics for Health: Transforms unstructured clinical notes into structured data by employing Microsoft Azure Text Analytics for Health’s NLP capabilities. This enriches patient profiles with insights from physicians’ notes, aiding in the analysis for improved patient health outcomes.
- De-Identifying Clinical Data: Allows health organizations to anonymize clinical data, ensuring it remains clinically relevant and complies with HIPAA privacy regulations. This service, which currently handles unstructured text and will expand to include structured and imaging data, uses advanced machine learning to modify or remove over 30 entities, including HIPAA’s 18 personal health identifiers. It replaces sensitive elements with realistic surrogates, preserving the data’s integrity and representativeness.
- Observational Medical Outcomes Partnership (OMOP) Analytics: Facilitates research and analysis for clinical researchers using the OMOP v5.4 Common Data Model. It converts FHIR data in silver to OMOP datasets with specialized pipelines. This enables users to create statistical models, conduct population studies, and generate Power BI reports for comparing various interventions and their impacts on patient outcomes. Researchers can efficiently perform ad-hoc analysis using SQL or notebooks, tracking disease progression, comparing treatments, or analyzing drug effects and conditions.
- Patient Outreach Analytics: Streamlines patient data segmentation by directly importing healthcare data from Silver Lake, bypassing the need for complex FHIR data transformation. This simplifies patient understanding for care providers, aids in creating detailed segments, and improves outreach, thereby accelerating patient base and revenue growth.
- Data Governance: Enhance data governance, protection, and management for healthcare organizations. Key features include healthcare classification templates for categorizing data in compliance with HIPAA, and a data glossary of FHIR entities to minimize misunderstandings and errors across the organization.
Discover AI's Possibilities
This integration of analytics-ready data in a single estate empowers healthcare organizations to leverage AI and machine learning for enhanced clinical decisions and patient outcomes. Highlights include multi-language support in Text Analytics for Health, expansion of the Microsoft Azure AI Health Bot, and new built-in models in Azure AI Health Insights.
Let's Start Exploring
Interested in exploring these transformative healthcare data solutions in Microsoft Fabric? Reach out to us for more detailed information and to assess your eligibility. Embark on this journey with Tecknoworks to unlock new healthcare possibilities and elevate your data management strategy to the next level.
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