Explore healthcare data solutions in Microsoft Fabric

  • Learning Path
  • 8 Modules

At a glance

Healthcare data solutions in Microsoft Fabric solutions help you transform unstructured or semi-structured healthcare data and persist into the data lake, ensuring accessibility and usability for continued analysis. By deploying the solutions directly to a Fabric workspace, you can harness the power of autoscaling capabilities inherent to built-in serverless SQL pools, optimizing both performance and scalability.

In this Learning Path, you're guided through hands-on exercises to deploy the solutions in healthcare data solutions in Microsoft Fabric. In these exercises you deploy the solutions, ingest and transform data, run pipelines and analyze the data.

Prerequisites

Modules in this learning path

Deploy Healthcare Data Solutions in Microsoft Fabric and ingest sample data

Healthcare data solutions in Microsoft Fabric help you accelerate time to value by addressing the critical need to efficiently transform healthcare data into a suitable format for analysis. This module introduces the concepts to deploy healthcare data solutions in Microsoft Fabric and ingest sample data in Fast Healthcare Interoperability Resources (FHIR) format to transform the data into the healthcare data model. By using the interactive exercises, you can deploy healthcare data solutions and ingest sample data.

Ingest clinical data in FHIR into healthcare data solutions in Microsoft Fabric

This module introduces the concepts for ingesting clinical data in FHIR format into healthcare data solutions and how the system transforms data into the healthcare data model. By using the interactive exercises, you can explore how to ingest clinical data by using the different ingestion options and unified folder structure for ingesting data.

Ingest DICOM data into healthcare data solutions in Microsoft Fabric

Healthcare data solutions in Microsoft Fabric help you ingest Digital Imaging and Communications in Medicine (DICOM) data. With the DICOM transformation solution, you can ingest, store, and analyze imaging metadata across various modalities. The imaging and clinical data are stored in Fast Health Interoperability Resources (FHIR) and Observational Medical Outcomes Partnership (OMOP) format. This data helps clinicians and researchers interpret image findings in the correct clinical context, leading to higher diagnostic accuracy, informative clinical decisions, and improved patient outcomes.

Deploy and use OMOP transformations for analytics

Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) in a Fabric lakehouse is an optional capability of healthcare data solutions in Microsoft Fabric. By using OMOP Common Data Model, you can construct statistical models, conduct population distribution studies, and use Power BI reports to visually compare various interventions and their effects on patient outcomes. Researchers can perform comparative analysis, such as evaluating different procedures and drug exposures or examining correlations between drug exposures and condition occurrences.

Deploy and use SDOH datasets transformations for analytics

Social determinants of health (SDOH) are social conditions that contribute to an individual's or a population group's health outcomes. Ingesting SDOH datasets into a standardized healthcare data model in a Microsoft Fabric data lake unlocks many analytical capabilities for your organization to gain a comprehensive understanding of a patient's health profile. In this module, you learn about the SDOH datasets - transformations capability and explore its components. You also deploy the solution into your Fabric workspace and then configure and run the notebooks to transform the SDOH datasets into the Fabric lakehouse.

Deploy and use CMS Claims data transformations

With CMS Claims data transformations, you can ingest, store, and analyze claims data in Centers for Medicare & Medicaid Services (CMS) Claim and Claim Line Feed (CCLF) format. CMS Claims data transformations is an optional capability of healthcare data solutions in Microsoft Fabric. In this module, you learn about the CMS Claims data transformations capabilities that are available in healthcare data solutions in Fabric. This module explains how to configure and run the notebooks to transform healthcare data from the CCLF format and then ingest it into the Fabric lakehouse.

Gain insights using Dynamics 365 Customer Insights - Data Preparation

The Dynamics 365 Customer Insights - Data Preparation capability in healthcare data solutions transforms the complex, nested structure of your Fast Healthcare Interoperability Resources (FHIR) data in OneLake for uses like patient segmentation and outreach initiatives. When connected, you can use the data in Dynamics 365 Customer Insights - Data.

Deploy and analyze using care management analytics

Care management analytics in healthcare data solutions provides a comprehensive analytical platform essential for optimizing patient outcomes and resource utilization in current healthcare landscape. This module covers the care management analytics capability of healthcare data solutions in Microsoft Fabric. You explore the components, deploy them into your Fabric workspace, and learn to use the care management analytics pipelines to construct analytical models, conduct patient population studies. You use the Power BI reports to visually compare various patient populations.