dismiss

Clean Sweep Live Auction on Wed. February 27th. Click to view the full inventory

DOTmed Home MRI Oncology Ultrasound Molecular Imaging X-Ray Cardiology Health IT Business Affairs
News Home Parts & Service Operating Room CT Women's Health Proton Therapy Endoscopy HTMs Mobile Imaging
SEARCH
Aktueller Standort:
>
> This Story


Log in oder Register to rate this News Story
Forward Printable StoryPrint Comment
Advertisement

 

advertisement

 

Health IT Homepage

Vocera debuts new handsfree Smartbadge at HIMSS Touchscreen wearable for voice-controlled communication and smartphone functionality

Top questions healthcare organizations must ask before choosing a new EHR in 2019 How to reach and achieve interoperability

Medical device cybersecurity: Need for practical solutions Experts from ECRI Institute address the number one threat to healthcare delivery

NewYork-Presbyterian partners with Philips on remote monitoring Expansive telehealth program aims to reduce readmissions, ER visits

What will the right RIS system bring to your imaging department? There is no one-size-fits-all solution for RIS needs

Uber and Lyft showcase rideshare for healthcare at HIMSS19 Leading competitors seek to carve out patient transport verticals

Datatrak launches system for unifying imaging capture and adjudication workflows Enhances clinical trials, takes place on Datatrak's Enterprise Cloud platform

The exam room of the future: Nuance unveils AI-based clinical documentation product at HIMSS Improving patient experience and freeing up physicians

AI and personalized medicine to raise the bar in radiology reporting New innovations could provide myriad benefits to clinical workflow

HIMSS Analytics releases new model to help adopt enterprise imaging Eight-stage DIAM model helps organizations track their progress

Amazon Comprehend Medical to bring natural language processing to healthcare

by Thomas Dworetzky , Contributing Reporter
Alexa may one day help patients keep their daily med routine on track – and more.

Online giant Amazon is developing a new service to provide better clinical decision support to health care providers, insurers, researchers, and clinical trial investigators as well as healthcare IT, biotech, and pharmaceutical companies.

Story Continues Below Advertisement

THE (LEADER) IN MEDICAL IMAGING TECHNOLOGY SINCE 1982. SALES-SERVICE-REPAIR

Special-Pricing Available on Medical Displays, Patient Monitors, Recorders, Printers, Media, Ultrasound Machines, and Cameras.This includes Top Brands such as SONY, BARCO, NDS, NEC, LG, EDAN, EIZO, ELO, FSN, PANASONIC, MITSUBISHI, OLYMPUS, & WIDE.



“We are excited to announce Amazon Comprehend Medical, a new HIPAA-eligible machine learning service that allows developers to process unstructured medical text and identify information such as patient diagnosis, treatments, dosages, symptoms and signs,” Dr. Taha A. Kass-Hout and Dr. Matt Wood wrote on the Amazon Web Services (AWS) Machine Learning Blog.

More than just a better way to ensure patient compliance with drug regimens, the system is expected to help streamline revenue cycle and clinical trials management, while more efficiently addressing data privacy and protected health information requirements. These capabilities are predicted to make it a top competitor with solutions produced by other organizations such as IBM’s Watson Health and Optum from United Health Group, according to an AMA report.

Its creation furthers the objective to turn health records into “big data”, thereby doing away with the challenge of converting most health and patient information today, which comprises so-called “unstructured medical text”, into AI usable form.

Converting this information, which consists of doctor's notes, prescriptions, transcripts of interviews, and pathology and radiology reports, is too laborious to do by hand – a task made even more costly by the need to employ skilled medical experts to enter it into a system – or create custom software to tackle it.

Amazon Comprehend Medical spots key information “automatically, with high accuracy, and without the need for large numbers of custom rules,” said Kass-Hout. “Ultimately, this richness of information may be able to one day help consumers with managing their own health, including medication management, proactively scheduling care visits, or empowering them to make informed decisions about their health and eligibility," she said, along with Wood.

In addition, the system needs no onsite servers, and can read and return texts of medical information sent to it, requiring no models for training or machine learning experience from users. Another plus is privacy – no data is kept on the service or used for training.
  Pages: 1 - 2 >>

Health IT Homepage


You Must Be Logged In To Post A Comment

Werben
Erhöhen Sie Ihren Bekanntheitsgrad
Auktionen + Privatverkäufe
Den besten Preis erzielen
Geräte/Geräteteile kaufen
Den günstigsten Preis finden
Daily News
Die neuesten Nachrichten lesen
Übersicht
Alle DOTmed Benutzer durchsuchen
Ethik auf DOTmed
Unseren Ethik-Standard anzeigen
Gold-Parts Verkäufer-Programm
PH-Anfragen erhalten
Gold Service Dealer-Programm
Anfragen empfangen
Gesundheitsdienstleister
Alle Gesundheitsdienstleister-Tools anzeigen
Jobs/Training
Einen Job suchen
Parts Hunter +EasyPay
Angebote für Geräteteile erhalten
Kürzlich zertifiziert
Kürzlich zertifizierte Benutzer anzeigen
Kürzlich bewertet
Kürzlich zertifizierte Benutzer anzeigen
Rental Central
Geräte billiger mieten
Geräte/Geräteteile verkaufen
Das meiste Geld erhalten
Service-Techniker Forum
Hilfe und Beratung finden
Einfache Angebots-Anfrage
Angebote für Geräte erhalten
Virtuelle Messe
Service für Geräte finden
Access and use of this site is subject to the terms and conditions of our LEGAL NOTICE & PRIVACY NOTICE
Property of and Proprietary to DOTmed.com, Inc. Copyright ©2001-2019 DOTmed.com, Inc.
ALL RIGHTS RESERVED