Medical Informatics Corp. (MIC), a Houston, TX-based provider of an FDA-cleared patient monitoring and predictive analytics platform has raised $11.9M in Series A funding led by Data Collective Venture Capital (DCVC) with significant participation from Intel Capital and the Texas Medical Center (TMC) Venture Fund.The Inaccurate State of Today’s Predictive Analytics in Hospital SystemsHospital systems across the country are searching for ways to use machine learning and AI to get ahead of
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Machine Learning in Healthcare | ML News, Analysis, Insights - HIT Consultant
CMS Launches $1.65M Artificial Intelligence Health Outcomes Challenge
This week, the Centers for Medicare & Medicaid Services (CMS) announced the launch of their first-ever Artificial Intelligence Health Outcomes Challenge. The three-stage competition accelerates artificial intelligence (AI) solutions to better predict health outcomes such as unplanned hospital and skilled nursing facility admissions and adverse events for potential use by the Innovation Center in testing innovative payment and service delivery models under the authority of section 1115A of
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Sutter Health, Suki to Pilot AI-Powered, Digital Voice Assistant with Doctors in Northern California
Not-for-profit Sutter Health network, today announced it is teaming up with Suki to pilot an artificial intelligence (AI)-powered voice-enabled digital assistant with doctors in Northern California. Using a combination of commands, the voice-enabled tool will help create a clinically accurate note that will integrate with Sutter’s Epic EHR system to maximize time with patients.Digital Voice Assistant Pilot Overview & BenefitsAs part of the collaboration, Sutter will initially introduce Suki
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4 Pillars of Value for AI in Medical Imaging
At ECR this year, there were over 25 independent software vendors (ISVs), many of them start-ups, showcasing artificial intelligence (AI) solutions for medical imaging within a dedicated space. Additionally, with established imaging vendors foraying into the AI space, what was once the hype is now in the early stages of market maturity, and, it appears, AI within medical imaging is here to stay.
The question has now shifted to what clinical value AI solutions can provide, rather than if AI is
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CAQH Develops AI Solution to Improve Provider Directory Accuracy
CAQH's AI tech identifies incorrect provider data and improves the accuracy of directories without bothering the provider
CAQH has developed patent-pending artificial intelligence (AI) technology to identify incorrect healthcare provider data and improve the accuracy of directories without contacting the provider. In fact, this AI tech has the potential to save health plans $91 million annually.
Challenge of Maintaining Accurate Provider Directories
Maintaining accurate provider directories
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Northwestern Medicine and Eko Launches AI Algorithms Heart Murmurs Study
Northwestern Medicine and Eko launches a new clinical study to validate algorithms that help providers more accurately screen for valvular heart disease with a digital stethoscopeToday Northwestern Medicine Bluhm Cardiovascular Institute and Eko have announced a partnership pioneering the use of artificial intelligence (AI) for cardiac screening in a new study of Eko’s cardiac monitoring platform. The study aims to demonstrate that Eko’s digital stethoscopes and AI algorithms can interpret heart
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MedStar Heart Disease Study Uses AI Nurse to Monitor Heart Failure Patients
ObEN Inc., an artificial intelligence (AI) company creating Personal AI (PAI) technology to revolutionize digital interactions announce it is working with MedStar Health Research Institute for a study on the use of Personal AI (PAI) healthcare assistants for patients suffering from heart failure. For the study, ObEN has created a medical health assistant app, called PAI Care, to help monitor patients of heart failure.MedStar Health Heart Disease Study OverviewUnder the direction of the
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Microsoft Develops New Chatbot to Match Patients to Clinical Trials Easier
Microsoft has developed a clinical trials chatbot designed to optimize matching patients with appropriate clinical trials, Bloomberg first reports. By using AI-driven machine reading technology to ingest the selection criteria for each clinical trial, the chatbot uses this data to determine which questions to ask patients and matches their answers to suitable clinical trials. The chatbot initially started as a hackathon project at Microsoft’s Corp’s lab in Israel and is part of a larger
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The State of EHR Data in the Midst of The Real-World Evidence Evolution
It’s time to search for answers beyond the structured fields of your EHR. Dan Riskin explains.“Wave” is a perfect word to describe the swell that is big data because it’s quite oceanic in the sense that it’s everywhere, but that doesn’t mean it’s readily consumable. Ubiquity is both the critical asset and challenge that big data brings to healthcare. It’s also the muse that has innovators not just thinking outside the box when it comes to creating HIT solutions but searching for valuable data
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Report: Revolutionizing Healthcare with Augmented Intelligence and Social Determinants of Health
New Innovaccer research report applies machine learning algorithms to 55+ factors to deliver one of the most accurate views ever for social determinants of healthUS clinicians are at a critical juncture, newly responsible for both the quality and value of care and expected to have a deeper understanding of their patients’ risk factors. The health impacts of the environment in which patients live affect their health and these health impacts need to be documented and studied properly.According to
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