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Microsoft Renames Its Azure for FHIR API to Azure Healthcare APIs
Recently Microsoft announced the renaming of its Cloud for Healthcare's Azure API for Fast Healthcare Interoperability Resource (FHIR) to "Azure Healthcare APIs." In addition to the renaming of the APIs, the company also expands support for healthcare data to include patient health data via FHIR, medical imaging data via DICOM - and medical device data via the Azure IoT Connector for FHIR .
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AWS Announces the General Availability of Amazon HealthLake
Recently AWS announced the general availability of Amazon HealthLake, a fully-managed, HIPAA-eligible service. With the service, healthcare providers, health insurance-, and pharmaceutical companies can securely store, transform, query, and analyze health data.
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Google Cloud Releases Its Healthcare Consent Management API to General Availability
Google Cloud recently announced it would release its Healthcare Consent Management API to general availability to provide healthcare application developers and clinical researchers a simple way to manage individuals' consent over health data use. The Healthcare Consent Management API is part of the Cloud Healthcare API offering on the Google Cloud Platform (GCP).
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AWS Introduces HealthLake and Redshift ML in Preview
AWS introduced preview releases of Amazon HealthLake service and a feature for Amazon Redshift called Redshift ML during re:Invent 2020 in December. Amazon HealthLake is a data lake service that helps healthcare, health insurance, and pharmaceutical companies to derive value out of their data with the help of NLP. Redshift ML is a service that provides a gateway into SageMaker to Redshift users.
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Microsoft Introduces Azure Health Bot
Microsoft recently introduced Azure Health Bot, an evolution of Microsoft Healthcare Bot that is becoming an Azure service with added functionalities. Built for developing virtual health care assistants, Azure Health Bot combines medical databases with natural language capabilities.
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Google Launches Healthcare Natural Language API and AutoML Entity Extraction for Healthcare
In a recent blog post, Google announced the public preview of two new fully-managed AI tools: Healthcare Natural Language API and AutoML Entity Extraction for Healthcare. Both tools can assist healthcare professionals in reviewing and analyzing medical documents in a repeatable, scalable way.
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Google Cloud Healthcare API Now Generally Available
In a recent blog post, Google announced the general availability of its Cloud Healthcare API. This service facilitates the exchange of healthcare data between solutions built on Google Cloud Platform (GCP) and applications.
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Microsoft Releases Azure API for Fast Healthcare Interoperability Resource (FHIR) as GA
In a recent blog post, Microsoft announced the general availability of the Azure API for Fast Healthcare Interoperability Resource (FHIR), making it the first cloud vendor providing native support for this format in a managed cloud service. With the API, customers can quickly ingest, persist, and manage healthcare data in the cloud.
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The Robot Operating System (ROS) Can Make Hospitals Smarter
The ROSCon 2019 conference kicked off with a keynote from Selina Seah from Changi General Hospital and Morgan Quigley from Open Robotics. In their talk, they outlined the need for robotics and automation in hospitals. To support robotics, the Open Robotics foundation works actively to create tools to support multiple robotics platforms, fleets working together, and tools for QA and simulation.
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WebExpo 2019: Make Healthcare Affordable and Accessible Using Tech and AI
Anna Zawilska, lead user researcher at Babylon Health, recently presented at WebExpo 2019 in Prague the lessons learnt from their experience delivering remote healthcare through a combination of technology and Artificial Intelligence (AI). Babylon Health came to adjust three key assumptions underpinning their product development.
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Using VR and AR for Pain Management
Immersive technologies have been used for the past 30 years to treat pain, PTSD, phobia, anxiety, and phantom limb syndrome. The human brain processes images 60,000 times faster than text, and 90% of information transmitted to the brain is visual. Since we are visual by nature, we can use VR and AR in pain management.
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Quality and Culture: Learnings from Other Disciplines and Industries
We can gain by learning about other industries such as aviation and healthcare, and studying other disciplines, argued Conor Fitzgerald, software tester at Poppulo, at RebelCon.io 2019. Aviation has a history of continually learning from its mistakes, whereas in healthcare, culture and bias seem to challenge learning and continuous improvement.
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Human Centered Design for Special Needs: Q&A with Mileha Soneji
Observing users to understand their needs helps to define the problem you need to solve, argued Mileha Soneji. In her talk at ACE Conference 2019 she showed how human-centered design with minimum viable prototypes can help to gain better insight faster, and that breaking down problems into smaller problems can be used to ideate simpler solutions.
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Sitting Considered Deadly: Introduce Movement in Our Workdays
Prolonged sitting wreaks havoc on our bodies and our minds. A first step to introduce more movement throughout your workday is to organize a sit-stand workstation, claimed Marek Stój in his talk Sitting Considered Deadly at Codemotion Amsterdam 2019. He suggested alternating between the two and trying out various ways in which one can sit or stand.
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Making Machine Learning Adoptable for Clinicians
Dr. Alexander Scarlat explains the core tenants of machine learning in his 12-part series "Machine Learning Primer for Clinicians." Scarlat covers defining aspects of machine learning, followed by examples that communicate aspects of measuring the performance of machine learning models. The series uses animated charts in place of the math to help readers understand the machine learning concepts.