What You Should Know:
- Apervita establishes first cloud-based healthcare platform for payers and providers to offer deep encryption of health data.
- Additionally, Apervita’s Deep Encryption feature meets requirements of the Office of the National Coordinator’s (ONC) recent Information Blocking final rule, which calls for granular, PHI field-level privacy to support data segmentation, while still allowing for data to be accessible.
Apervita, the leading
platform for value-based
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PHI
UAB Health System, TransformativeMed Partners to Streamline Clinical Workflows
- The University of Alabama at Birmingham (UAB) Health System will implement three TransformativeMed apps to increase workflow efficiency, enhance clinical communications and improve clinician experience- The TransformativeMed applications that UAB is implementing are fully integrated, enabling residents and staff to quickly extract, evaluate, document and take action on data from multiple sources, regardless of their location.TransformativeMed, a Seattle, OR-based provider improving the
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In-app Chat: The Future of Secure Doctor/Patient Communications?
It has not been easy for technology to permeate the healthcare industry, primarily due to stringent regulations that protect patient privacy— specifically HIPAA and HITECH. These regulations are both good and necessary, pushing technology providers to become more secure and private in order to gain entry into a market that touches nearly everyone’s life in some capacity. The bar is high.
As such, it has taken some time for new technologies to take hold safely within healthcare. But
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Top 60 Health IT/Digital Health Mergers & Acquisitions in 2019
- From Google's acquisition of Fitbit to Philips acquisition of Carestream Health's health IT business, here is a look at some of the biggest health IT/digital health mergers & acquisitions in 2019 by each quarter.
Q1 M&A Activity
Johnson & Johnson Acquires Auris Health for $3.4B to Expand Digital Surgery Portfolio
Johnson & Johnson acquiresAuris Health, a developer of robotic technologies for $3.4 billion in cash. Auris Health is a privately-held developer of
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4 Ways to Make Security Training A Priority in Your Healthcare Organization
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Healthcare finally made the shift–it went digital. Overdue, perhaps – and maybe less rapid than the transition by other industries – but nonetheless notable. The age of the Internet of Medical Things (IoMT) has dawned, and healthcare is riding the wave. You go, healthcare!
For healthcare organizations, the advent of IoMT means new technology tools like smart medical devices extending and streamlining care throughout the hospital. This gives clinicians more mobility and more efficiency
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Amazon Comprehend Medical Adds Ontology Linking to Help Clinicians Detect Medication and Medical Conditions in Unstructured Clinical Text
- Amazon Comprehend Medical, Amazon’s HIPAA eligible natural language processing service that uses machine learning to find insights in unstructured texts, announced a new capability of linking information to medical ontologies. - The new ontology-linking feature will help clinicians to detect medication and medical conditions in unstructured clinical text. Amazon will now support ICD-10-CM and RxNorm ontologies through Comprehend Medical. Amazon Comprehend, a HIPAA eligible natural language
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Amazon Launches EHR-Integrated, Machine Learning-Powered Transcription Service
- Amazon Web Services (AWS) launches Amazon Transcribe Medical, a HIPAA-eligible, machine learning-powered medical transcription service that utilizes automatic speech recognition applications to offer a more efficient and accurate medical note-taking experience. - By utilizing voice-enabled technologies, Transcribe Medical automatically translates audio streams into medical speech -- designed to be deployed at scale to patients’ healthcare providers, allowing for affordable, consistent,
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10 Factors Radiologists Should Consider When Selecting AI Vendors
With over 150 independent software vendors developing machine learning solutions for medical imaging, sorting through the plethora of options to select vendors is a challenge. Here are 10 factors radiologists should consider (and questions they should ask) before partnering with vendors providing AI solutions for medical imaging.
1. Clinical Relevancy
The foremost consideration for healthcare providers adopting AI into their clinical workflow is relevancy. Does the AI solution truly
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Life Image, Graticule Launches Imaging Dataset In AWS Data Exchange
- Life Image and Graticule announced the availability of GLIMPS (Graticule Life Image Machine Parsed Set) data licensing subscriptions in AWS Data Exchange. - GLIMPS (Graticule Life Image Machine Parsed Set) is a de-identified patient-level data set including a summary of features generated from NLP processing on Life Image data. - The goal of GLIMPS is to provide a cost-effective patient-level snapshot to biopharma data science teams to fuel the necessary discussions about these data, leading
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Why APIs Bring Hope for Data Interoperability in Healthcare
One of the biggest obstacles to data interoperability is the slow and piecemeal progress of healthcare organizations (HCOs) towards digitalization. While the benefits of digitalization are clear; improved efficiency, reliability of data, and enhanced communication, just to name a few; the critical (and most challenging) piece of the puzzle, is being able to share critical patient data between systems in a way that makes it easily accessible - while still retaining the security of sensitive
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