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Azure Health Data Services is a managed platform as a service (PaaS) based on OpenAPI standards and frameworks that enable more secure and scalable health data solutions. Azure Health Data Services empowers Microsoft Cloud for Healthcare and other health workloads by enabling more secure and compliant paths to ingest, persist, and connect health data in the cloud.
In this Learning Path, you’ll gain a foundational understanding of Azure Health Data Services and its core components. You’ll be guided through use cases as you explore interoperability challenges of health and life sciences data, examine the tools and connectors of Azure Health Data Services and their benefits, review the data architecture of FHIR and the details of how the FHIR API is implemented, explore the DICOM standards and DICOM service using the use case for radiology data in cancer treatment and how to enable IoT data scenarios for remote patient monitoring.
Prerequisites:
Azure Health Data Services is a managed platform as a service (PaaS) based on OpenAPI standards and frameworks that enable more secure and scalable health data solutions. Azure Health Data Services empowers Microsoft Cloud for Healthcare and other health workloads by enabling more secure and compliant paths to ingest, persist, and connect health data in the cloud. Azure Health Data Services is a set of tools and connectors that enable organizations to bring health data to the Microsoft Cloud and improve health through insights.
Learning objectives:
In this module, you’ll:
Prerequisites:
None
This module is part of these learning paths:
Q1. Information that is personal and includes data, such as vitals or care plans, is considered to be what?
Q2. Which of the following options is not part of the initial configuration of an Azure Health Data Services workspace?
Q3. In Azure Health Data Services, FHIR, DICOM, and MedTech are deployed into what?
This module covers the data architecture of Fast Healthcare Interoperability Resources (FHIR) and the details of how the FHIR API is implemented in the FHIR service in Azure Health Data Services.
Learning objectives:
In this module, you’ll:
Prerequisites:
None
This module is part of these learning paths:
Q1. What is an implementation guide?
Q2. What type of API does FHIR Service use for exchange of HL7 FHIR data?
Q3. Which of the following options is a mandatory data element that must be present in a patient profile?
DICOM® (Digital Imaging and Communications in Medicine) is the international standard for medical images, imaging formats, and related information. It’s the ISO 12052 standard that defines the data quality and exchange specifications for images to meet clinical use requirements. Digitization of medical imaging data by using the DICOM standard will enable health data interoperability. Microsoft cloud is equipped to ingest, persist, and connect DICOM imaging data to help improve patient outcomes.
Learning objectives:
In this module, you’ll:
Prerequisites:
None
This module is part of these learning paths:
Q1. What is DICOM?
Q2. When DICOMcast is set up, as an image enters the DICOM service, DICOMcast detects changes in the image and matches it to a patient record. What is the expected outcome if no patient match is found?
Q3. Which of the following isn’t part of the DICOM data model?
In this module, you’ll learn how to enable IoT data scenarios for remote patient monitoring.
Learning objectives:
In this module, you’ll:
Prerequisites:
None
This module is part of these learning paths:
Q1. The data from weekly weigh-ins, which is automatically reported by scales with IoT connectivity, would be considered what type of health data?
Q2. Which one of the following options is a benefit of IoT devices?
Q3. How does IoT device data become useable data?
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