IC-001T00: Microsoft Cloud for Healthcare Course Overview

IC-001T00: Microsoft Cloud for Healthcare Course Overview

The IC-001T00: Microsoft Cloud for Healthcare course is designed to equip learners with the knowledge to address current healthcare industry challenges using Microsoft's healthcare cloud solutions. This comprehensive course covers the deployment and planning of Microsoft Cloud for Healthcare (MC4H), understanding the Common Data Model (CDM) and customization, implementing various healthcare scenarios, exploring interoperability with Azure Health Data Services, managing medical imaging data including DICOM, and leveraging IoT for healthcare data collection and management.

By engaging with this course, learners will gain insights into Microsoft Cloud for Healthcare and how it empowers healthcare organizations by enhancing patient engagement, enabling health team collaboration, providing clinical and operational insights, and ensuring the protection of health information. Participants will also learn about Azure Health Data Services and the integration of various Microsoft healthcare cloud products to address complex healthcare data needs. This course is essential for professionals looking to leverage Microsoft's healthcare cloud capabilities to innovate and improve healthcare services.

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  • Live Training (Duration : 32 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

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Course Prerequisites

Certainly, the following are the minimum required prerequisites for successfully undertaking training in the IC-001T00: Microsoft Cloud for Healthcare course:


  • Basic understanding of cloud computing concepts, including what cloud services are and how they can be leveraged in various scenarios.
  • Familiarity with the Microsoft Azure platform, including the ability to navigate the Azure portal and understand core Azure services.
  • Knowledge of healthcare industry challenges and terminology, which will help contextualize the application of Microsoft Cloud for Healthcare solutions.
  • Awareness of compliance and regulatory requirements in the healthcare industry, such as HIPAA, as this course will discuss data protection and privacy within the healthcare context.
  • Some experience with data modeling and database concepts, as the course explores the Common Data Model (CDM) and customization of the Healthcare data model.
  • Basic understanding of interoperability in healthcare systems and standards like HL7 FHIR (Fast Healthcare Interoperability Resources), as the course deals with Azure Health Data Services and FHIR implementation.
  • For technical modules involving deployment and configuration, prior experience with IT systems administration or development would be beneficial.
  • An openness to learning and applying new technologies to solve healthcare industry challenges.

Please note that while these prerequisites are aimed at ensuring a successful learning experience, individuals with a strong desire to learn and a commitment to investing time in understanding new concepts may also thrive in the course.


Target Audience for IC-001T00: Microsoft Cloud for Healthcare

The IC-001T00: Microsoft Cloud for Healthcare course is designed for IT professionals aiming to leverage Microsoft's cloud in the healthcare sector.


  • Healthcare IT Managers


  • Clinical Data Analysts


  • Health Information Managers


  • Compliance and Security Officers in Healthcare


  • Medical Informatics Professionals


  • Healthcare Consultants specializing in IT solutions


  • Cloud Solution Architects focusing on Healthcare


  • Technical Support Engineers for Healthcare systems


  • Healthcare Application Developers


  • Systems Integrators working with Healthcare solutions


  • Healthcare Data Scientists


  • IT Project Managers in Healthcare organizations


  • Health Information Exchange (HIE) Specialists


  • Electronic Health Records (EHR) System Administrators


  • Radiology Technologists with an interest in IT


  • Medical Professionals interested in Healthcare IT innovations


  • Healthcare Executives looking to understand cloud implementation impacts


  • Medical Device and IoT Professionals in Healthcare


  • Healthcare Interoperability Experts


  • Professionals working on Healthcare compliance and regulatory affairs


  • IT Professionals working in Healthcare-focused Managed Service Providers (MSPs)




Learning Objectives - What you will Learn in this IC-001T00: Microsoft Cloud for Healthcare?

Introduction to Learning Outcomes

Gain expertise in Microsoft Cloud for Healthcare, addressing industry challenges, deploying solutions, and ensuring interoperability for enhanced patient care and operational efficiency.

Learning Objectives and Outcomes

  • Understand the healthcare industry challenges and how Microsoft Cloud for Healthcare addresses them through four key scenarios.
  • Identify product requirements and master the deployment of Microsoft Cloud for Healthcare solutions.
  • Review the Common Data Model (CDM) and explore the specific Healthcare data model, understanding its position and how it layers solutions.
  • Learn to customize the Healthcare data model to fit specific organizational needs using extension mechanisms.
  • Implement scenarios for enhanced patient engagement, health team collaboration, improved clinical and operational insights, and protection of health information.
  • Explore interoperability within the healthcare sector, understanding the challenges and the role of Azure Health Data Services in addressing them.
  • Describe and utilize Azure Health Data Services, implementing FHIR to support interoperability standards.
  • Review and understand the importance of Digital Imaging and Communications in Medicine (DICOM), and learn to work with DICOM services in Azure Health Data Services.
  • Examine the integration of Internet of Things (IoT) data collection with FHIR-compliant data and cloud health workloads using Microsoft products.
  • Work with medical IoT data and understand the application of the MedTech service in Azure Health Data Services for various use cases.

Technical Topic Explanation

Common Data Model (CDM)

The Common Data Model (CDM) is a standardized, modular framework used by organizations to structure and format data consistently across various systems and databases. It simplifies data management and interoperability, enabling better data sharing and analytics. By leveraging a common language for data attributes and entities, CDM enhances the efficiency of data use within industries like healthcare, where consistent data formats are crucial for accurate analysis and decision-making, especially when integrated with platforms such as the Microsoft Healthcare Cloud.

Deployment and planning of Microsoft Cloud for Healthcare (MC4H)

Deploying and planning Microsoft Cloud for Healthcare involves setting up Microsoft's specialized cloud services tailored to health services. This platform, sometimes referred to as Azure Healthcare Cloud, integrates health data and analytics securely in the Azure health cloud, offering tools specifically designed for healthcare industry needs. Planning includes assessing medical data needs, deciding on privacy measures, and customizing applications for patient services. The goal is to enhance patient care and operational efficiency through Microsoft's healthcare cloud solutions, ensuring data is handled securely and complies with health regulations, making it a cornerstone of digital transformation in healthcare.

Interoperability with Azure Health Data Services

Interoperability with Azure Health Data Services enables different healthcare systems and applications to work together seamlessly within the Microsoft healthcare cloud environment. This capability allows healthcare providers to integrate and manage patient data from multiple sources effectively, ensuring that information is easily accessible and usable across various platforms and services. By utilizing Azure healthcare cloud, organizations can enhance their medical services by providing coordinated, comprehensive care through a unified platform that supports data sharing and collaboration in real-time, benefitting both healthcare professionals and patients.

Azure Health Data Services

Azure Health Data Services is a platform part of the Microsoft healthcare cloud designed specifically for the healthcare industry. It offers tools and services that address unique healthcare needs allowing for secure storage, management, and analysis of health data. Leveraging the azure health cloud, healthcare providers can utilize algorithms and AI for better insights, optimizing patient care and operational efficiency. This service ensures that healthcare data handling complies with regulations such as HIPAA, ensuring data privacy and security within the cloud for healthcare Microsoft environment.

Managing medical imaging data including DICOM

Managing medical imaging data, like DICOM files, involves storing, retrieving, and sharing detailed imaging securely and efficiently. Microsoft's healthcare cloud solutions, such as Azure Healthcare Cloud and Microsoft Cloud for Health, provide a specialized environment for handling these sensitive data. These platforms leverage robust cloud technology to support healthcare organizations by enhancing data accessibility and ensuring compliance with medical regulations. This helps in improving diagnostics and patient care by enabling healthcare professionals to access and analyze medical images from anywhere, fostering a more collaborative and efficient healthcare system.

Leveraging IoT for healthcare data collection and management

Leveraging IoT for healthcare data collection and management involves using interconnected devices that gather and transmit health-related data securely. This data is managed and analyzed through platforms like Microsoft Azure Health Cloud, enhancing healthcare delivery by offering real-time insights and personalized patient care solutions. IoT devices in this ecosystem can monitor patient health, manage chronic conditions, and ensure medication adherence, all integrated seamlessly with cloud technologies to optimize healthcare outcomes and operational efficiencies. This approach streamlines data accessibility for healthcare professionals, ensuring they have the necessary information to make informed decisions quickly.

Target Audience for IC-001T00: Microsoft Cloud for Healthcare

The IC-001T00: Microsoft Cloud for Healthcare course is designed for IT professionals aiming to leverage Microsoft's cloud in the healthcare sector.


  • Healthcare IT Managers


  • Clinical Data Analysts


  • Health Information Managers


  • Compliance and Security Officers in Healthcare


  • Medical Informatics Professionals


  • Healthcare Consultants specializing in IT solutions


  • Cloud Solution Architects focusing on Healthcare


  • Technical Support Engineers for Healthcare systems


  • Healthcare Application Developers


  • Systems Integrators working with Healthcare solutions


  • Healthcare Data Scientists


  • IT Project Managers in Healthcare organizations


  • Health Information Exchange (HIE) Specialists


  • Electronic Health Records (EHR) System Administrators


  • Radiology Technologists with an interest in IT


  • Medical Professionals interested in Healthcare IT innovations


  • Healthcare Executives looking to understand cloud implementation impacts


  • Medical Device and IoT Professionals in Healthcare


  • Healthcare Interoperability Experts


  • Professionals working on Healthcare compliance and regulatory affairs


  • IT Professionals working in Healthcare-focused Managed Service Providers (MSPs)




Learning Objectives - What you will Learn in this IC-001T00: Microsoft Cloud for Healthcare?

Introduction to Learning Outcomes

Gain expertise in Microsoft Cloud for Healthcare, addressing industry challenges, deploying solutions, and ensuring interoperability for enhanced patient care and operational efficiency.

Learning Objectives and Outcomes

  • Understand the healthcare industry challenges and how Microsoft Cloud for Healthcare addresses them through four key scenarios.
  • Identify product requirements and master the deployment of Microsoft Cloud for Healthcare solutions.
  • Review the Common Data Model (CDM) and explore the specific Healthcare data model, understanding its position and how it layers solutions.
  • Learn to customize the Healthcare data model to fit specific organizational needs using extension mechanisms.
  • Implement scenarios for enhanced patient engagement, health team collaboration, improved clinical and operational insights, and protection of health information.
  • Explore interoperability within the healthcare sector, understanding the challenges and the role of Azure Health Data Services in addressing them.
  • Describe and utilize Azure Health Data Services, implementing FHIR to support interoperability standards.
  • Review and understand the importance of Digital Imaging and Communications in Medicine (DICOM), and learn to work with DICOM services in Azure Health Data Services.
  • Examine the integration of Internet of Things (IoT) data collection with FHIR-compliant data and cloud health workloads using Microsoft products.
  • Work with medical IoT data and understand the application of the MedTech service in Azure Health Data Services for various use cases.