FIX When opening a database or backup file, the prompt message is now shown on top of the main window.FIX The application could crash when selecting an item in the tray icon when no database is loaded.
Chrome auto text expander and hippa license key#
FIX Added the ability to request the license key from the trial window dialog.FIX List variable produces the wrong output when the predefined values cointain the $$ symbol.FIX Application could crash when executing a template if trailing or leading delimiters were removed.
FIX The suggestions window might remain on screen when clicking, if displayed on the secondary monitor. FIX Sending changes to a linked glossary could fail if the glossary was shared with many people. FIX Fixed severe bug that could cause data corruption (making the entire database inaccessible) when the application is restarted. NEW Ability to open a PhraseExpander backup file (pebk) from the File > Open menu. NEW More robust system to export glossaries to a network share. NEW Upgraded DevExpress UI library to v.21.2.4. “We have major customers using our system for services such as medical appointment reminders, and we needed a TTS solution that we could use with HIPAA workloads to complement the rest of our HIPAA-compliant architecture. “One of the key decision points that led Aculab to choose Amazon Polly for our Text-to-Speech on the Aculab Cloud platform was the HIPAA support,” said David Samuel, CEO of Aculab. HIPAA eligibility is a welcome improvement and will allow us to expand its use to improve healthcare experience for our patients.”Īculab has also taken advantage of AWS’ machine learning services, leveraging Amazon Polly, a tool that turns text into lifelike speech. With Amazon SageMaker, we could get this from concept to a quick production test much faster, due to the ease of streamlined end-to-end build/deploy/test capabilities of Amazon SageMaker. Previously, our data science team had to contribute to the development of any model work, which slowed down product teams given that the data science team is a shared resource. “As a matter of fact, one of our mobile engineers was able to train and deploy a doctor specialty recommendation model from scratch in less than a day during a recent Zocdoc Hackathon, which we ended up rolling out to production. There is a lot of excitement among Zocdoc engineers around how easy it is to quickly build and deploy a model using Amazon SageMaker.” “At Zocdoc, our focus has been making it easier for patients to find the right doctor and book an appointment at the most convenient time and location,” said Zocdoc in a starement. Healthcare organizations are already leveraging these AWS services to perform machine learning tasks, including medical care search company Zocdoc. 
“Many healthcare customers are exploring new ways use the power of ML to advance their current workloads and transform how they provide care to patients, all while meeting the requirements of HIPAA,” AWS explained. It can analyze sentiment, and extract key phrases from patient interactions to better understand and improve engagement. Amazon Comprehend: A natural language processing service that can find insights and relationships in unstructured text.This service can be employed to easily translate large volumes of text efficiently and enable patients to chat with their healthcare provider in their preferred language. Amazon Translate: A neural machine translation service that delivers fast, high-quality, and affordable language translation.Amazon Transcribe: A speech-to-text service that automatically creates text transcripts from audio files will allow healthcare organizations to create text transcripts calls with patients.Send us an email, we will get in touch with you.Ĭustomers can use these three services to leverage the following ML capabilities: Want to publish your own articles on DistilINFO Publications?
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