Convenience and cost are the key drivers of telehealth adoption for American consumers, but lack of awareness is an issue, according to recent findings from American Well’s Telehealth Index: 2019 Consumer Survey. Telehealth leader American Well commissioned Harris Poll to conduct an online study among over 2,000 adults to measure usage and sentiment toward telehealth. The results are weighted to be representative of the American adult population across standard demographics.Majority of Consumers
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Digital Health | News, Analysis, Insights - HIT Consultant
PeerWell Lands $6.5M to Commercialize its Worker’s Comp Musculoskeletal Surgery Optimization Platform
Today PeerWell, a San Francisco, CA-based PreHab company helping patients prepare physically and mentally for orthopedic surgery and recover faster has raised $6.5M in Series A funding led by OMERS Ventures with participation from investors Emmett Shear (Co-Founder CEO of Twitch) and Travis May (CEO of Datavant).
Existing investors include XSeed Capital and angel investors
Auren Hoffman (CEO SafeGraph, Co-founder of LiveRamp), Kevin Lin (COO of
Twitch), Michael Seibel (CEO of Y Combinator),
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UPenn Taps Medable’s Digital Trials Platform to Power LITE Psoriasis Study
The University of Pennsylvania School of Medicine has partnered with Medable, a provider of digital trials platform to accelerate patient enrollment and increase patient retention in the Light Treatment Effectiveness (LITE) study, which evaluates home versus office-based narrowband ultraviolet B phototherapy for the treatment of psoriasis.Phase 4 Pragmatic StudyMedable’s direct-to-patient app was selected for LITE, a Phase 4 pragmatic study that will enroll 1050 patients across 20-40 clinical
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Report: Precision Medicine Is Impossible Without AI and Machine Learning
Artificial intelligence (AI) and machine learning are driving a great deal of the healthcare innovation in precision medicine, according to a new Chilmark Research report. The report reveals achieving the full potential of precision medicine is impossible to realize without applying AI and machine learning. Specifically, leveraging advanced machine learning and deep learning technology can rapidly analyze large datasets that outperform clinicians and researchers. Precision Medicine: Making
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New Bariatric Surgical Risk/Benefit Calculator Can Predict Patient’s Risk of Postoperative Complications
The Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) has announced the launch of a new surgical risk/benefit calculator that will provide metabolic and bariatric surgeons and their patients with accurate, patient-specific information to guide surgical decision making and informed consent. Risk calculator has the ability to predict a patient’s possibility of postoperative remission at one year for up to five different weight-related comorbiditiesBariatric
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Healthcare Leaders See AI As Front-Runner in Reducing Risks
Healthcare leaders see artificial intelligence (AI) as the front-runner in reducing risks, while they view online media as the riskiest technology, according to results of an annual survey by The Doctor Company. Conducted at a national summit of nearly 100 healthcare leaders to address some of the most pressing issues in healthcare. To understand what concerns these leaders have and generate meaningful conversations during the summit, participants were surveyed prior to the summit.Among the key
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UIUC, Infosys Form Strategic Partnership to Develop Precision Medicine Solutions
The University of Illinois Urbana-Champaign (UIUC) and Infosys, a provider of next-generation digital services and consulting has formed a strategic partnership to develop precision medicine solutions. As part of the strategic partnership, Infosys becomes a member of the Center for Computational Biotechnology and Genomic Medicine (CCBGM). Precision Medicine Strategic Partnership DetailsThe adoption of precision medicine solutions by healthcare companies has significant benefits, including
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ResApp Awarded CE Mark for Smartphone-Based Diagnostic Test for Respiratory Disease
ResApp Health, the developers of the world’s first smartphone-based diagnostic test for respiratory disease where one simply coughs into the phone and the machine learning-based algorithm diagnoses the underlying respiratory disease, has received CE Mark certification as a Class IIa medical device.Significance of CE Mark CertificationCE Mark certification indicates that ResAppDx-EU meets the essential requirements of all the applicable European regulations as a medical device and allows for the
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Healthcare Virtual Assistant Market to Reach $1.76B by 2025
The global healthcare virtual assistant market is expected to grow at a CAGR of 24.7% from 2018 to reach $1.76 billion by 2025, according to market research published by Meticulous Research.The emergence of Healthcare Virtual Assistant MarketVirtual assistants are AI and rule-based systems that interact with humans to perform various tasks. These assistants use cognitive technologies such as machine learning, natural language processing, and neural networks to enable interactive communications
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AI vs. Humans: AI Solution Beats Stanford Radiologists in Chest X-ray Diagnostics Competition
JF Healthcare, a Nanchang, China-based medical diagnostic startup is the first organization in the world to beat Stanford University radiologists in a competition designed by the Stanford Machine Learning group to compare the capability of artificial intelligence (AI) to human experts in interpreting chest x-rays.Standard Chest X-ray Diagnostic Competition ResultsThe AI team from JF Healthcare recently achieved an average AUC score (a measure of diagnostic accuracy) of 0.926 and is currently
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