With doctors’ time in short supply, one area in which AI-driven tools could help transform healthcare is by increasing diagnostic accuracy. AI-driven diagnostic tools, especially in areas like cardiology, have the potential to save the healthcare system money and most importantly save lives. They are developed using incomprehensibly large datasets and can, therefore, discover patterns that are invisible to the human eye.
For example, echo-based tools combined with deep clinical insight,
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AI in Healthcare| AI Impact for Researchers, Clinicians| Policy, News, Analysis, Insights - HIT Consultant
Baystate Health’s Innovation Arm, Life Image Partner on AI Initiative for Cancer Research & Treatment
- Baystate Health selects Life Image to leverage artificial intelligence (AI) to advance cancer research and increase treatment access. - Life Image will work with Baystate’s innovation arm, TechSpring, to develop and evaluate AI solutions to improve treatment decisions and clinical trial matching for cancer patients.Baystate Health, a Boston-based integrated health system serving more than 800,000 patients in western New England, today announced a strategic partnership with Life Image, the
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Philips Debuts AI-Driven Clinical Solution for Aiding Cognitive Assessment in the U.S.
- Philips IntelliSpace Cognition provides U.S. healthcare professionals with a powerful aid for assessing cognitive impairments due to neurological conditions.
- Philips has invested in collecting insights from both neurologists and neuropsychologists in order to design IntelliSpace Cognition in an iterative manner and ensure it fits into the majority of existing workflows.
- IntelliSpace Cognition will initially be commercially available only in the U.S.
Philips, a global leader in
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Google’s ‘Project Nightingale’ with Ascension Has Been Secretly Collecting Millions of Patient Records
What You Need to Know
- Google has been secretly working with St. Louis-based Ascension on an initiative code-named “Project Nightingale” to gather millions of patient records across 21 states since last year, reports The Wall Street Journal.
- The collected data includes patient names, date of birth (DOB), lab results, doctor diagnoses and hospitalization records to provide a complete health history.
- After the WSJ article, Ascension officially announced its collaboration with
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Japanese Startup AI Medical Secures FDA Approval for Real-Time Endoscopic AI Platform
Key Highlights- AI Medical Service, a Toyoko, Japan-based endoscopic artificial intelligence provider announces it has been granted Breakthrough Device Designation by the FDA. - FDA Breakthrough Device Designation expedites the traditional development, assessment, and review process, and enables medical professionals to get access to new developments quickly.- Designation will also enable the company to launch its project in the U.S. and expand to other markets across the world.AI Medical
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Research: October Health IT M&A Activity, Public Company Performance
- Healthcare Growth Partners (HGP) summary of Health IT/digital health merger & acquisition (M&A) activity, and public company performance during the month of October 2019
During the month of October, Health IT continued its evolution into an amorphous market that is increasingly trending away from a specialized niche of healthcare and into a key component of larger sectors such as Enterprise Software, HR Administration, Insurance, Care Delivery, Suppliers, and BioPharma.
The
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GE Healthcare Launches Enterprise Central Data Warehouse for Clinicians
Key highlights- GE Healthcare is introducing Edison Datalogue, a new enterprise data management solution designed to connect disparate data sources and types into a single, secure and scalable data pool for clinicians to collect, share and store patient data across the care delivery network. - Edison Datalogue is being deployed by hospital systems including the National Consortium of Intelligent Medical Imaging (NCIMI) and it is the only tool that combines a neutral archive (VNA), analytics and
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Payment Integrity: Is AI The Real Answer to Reducing Overutilization?
Some experts estimate that $200 billion is wasted each year on unnecessary or excessive medical testing and treatment. This could be up to 40% of the unnecessary spending in the system today.
Despite the extreme focus to reduce the total amount spent on healthcare, why does extensive spending on unnecessary or excessive tests or procedures continue? The easy answer is because it is often difficult to spot what is unnecessary or excessive.
There are certainly moments when overutilization of
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Primary Care Doctors Use Autonomous AI to Instantly Detect Eye Disease
- A Georgia Primary Care Clinic is now using an autonomous AI system called IDx-DR to test patients for diabetic retinopathy, a leading cause of blindness.
- IDx-DR is cleared by the FDA to make an assessment without the need for a clinician to also interpret the image or results, making it usable by healthcare providers who may not normally be involved in eye care.
- The exam typically takes 5-10 minutes. Nurses use an automated fundus camera to take pictures of the patient’s retinas –
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Rock Health: 3 Central Themes Driving Digital Health Consumer Adoption
- Rock Health and the Stanford Center for Digital Health release their findings from the 2019 Consumer Adoption Survey. - In 2019, overall consumer adoption of digital health leveled off in 2019 near the 2018 high water mark. - Findings reveal consumer-clinician dialogue and transparency around data collection and sharing will be central to the growth of digital technology in healthcare.Digital health consumer adoption has leveled off in what appears to a slight moderation of digital health
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