Consumers are increasingly using a variety of digital self-service tools for managing their health, according to results of a survey from Accenture 2018 Consumer Survey on Digital Health released this week at HIMSS18.The survey of 2,301 U.S. consumers reveals that consumers are becoming more accepting of machines — ranging from artificial intelligence (AI), to virtual clinicians and home-based diagnostics — having a significantly greater role in their overall medical care. For example, one in
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Artificial Intelligence in Healthcare | News, Analysis, Insights - HIT Consultant
Health AI Startup Medial EarlySign Lands $30M for Personalized Disease Management
Medial EarlySign, an Israeli-based provider of machine-learning based solutions to improve patient management and non-communicable disease management has raised $30 million in Series B funding led by aMoon Fund. The latest round brings the startup’s total funding, to date, to $50 million.The funding will further the use of EarlySign’s AI solutions, which leverage basic electronic health records to identify individuals at high risk of harboring or developing life-threatening diseases, helping
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Nuance Study Reveals Rework Is Root Cause of Staff Burnout in Hospitals
Nuance has unveiled new study data in an infographic about the importance of reducing rework. The healthcare system is built on the premise of rework with clinical documentation specialists and coders going back to the care team for specifications and clarity on clinical documentation, causing physicians to relive their day and rework documentation done previously. Rework is a root cause of staff burnout in hospitals and healthcare systems.As physicians and care teams face mounting pressure and
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Zebra Medical Vision Unveils AI-based Algorithm to Detect Brain Bleeds
Zebra Medical Vision, the machine and deep learning company that is creating the next generation services for the healthcare industry. In the past two years Zebra-Med launched different algorithms on a monthly basis to better diagnose breast cancer, heart attacks, and other life-threatening diseases, and now the company is officially releasing the first ever algorithm to detect brain bleeds. This algorithm has just been granted CE approval. The timely detection of brain bleeds is critical to a
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Kyruus Integrates With IBM Watson for AI-Assisted Patient-Provider Matching & Scheduling
Kyruus has announced a collaboration with IBM to integrate Watson Virtual Agent with Kyruus’ ProviderMatch to allow health systems to leverage chatbots to effectively match patients with appropriate providers and enable self-service scheduling. By enabling patients to engage with an AI-powered virtual agent (chatbot), patients will be able to easily and quickly find the best provider for their needs and then schedule an appointment at their convenience, with the click of a button. Kyruus &
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Nuance & Partners HealthCare Team Up to Accelerate Adoption of AI Apps for Diagnostic Imaging
Nuance today announced the signing of a multi-year strategic agreement with Partners HealthCare. The two organizations will optimize the process for rapid development, validation and utilization of artificial intelligence (AI) for radiologists at the point of care, and Nuance intends to make the new algorithms available through the Nuance AI Marketplace for Diagnostic Imaging.The collaboration will be executed through the recently formed Massachusetts General Hospital ("MGH") and Brigham and
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Precision Health AI Launches Oncology AI Platform Driven by EMR Dataset
Precision Health AI, a healthcare technology company focused on the application of artificial intelligence to cancer care, today announced the launch of the Eureka Health Oncology AI Platform. The 60+ set of pre-trained AI solution modules will utilize Precision Health AI’s proprietary data to predict a patient’s cancer stage, treatment journey, flow through the healthcare system and survival rate.Driving the new Eureka Health Oncology AI platform is Precision Health AI’s deep, longitudinal
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Why Artificial Intelligence Could Fail Healthcare Providers in 2018
Artificial Intelligence (AI) holds tremendous potential to transform care delivery by automating, augmenting and amplifying human labor in repetitive cognitive tasks. Just like any tool, however, it can be leveraged with improper or incomplete strategies and create more harm than good. This harm translates not only into mistakes that can impact an organization's bottom line, but also the lives of the patients that the organization serves.As we approach the start of HIMSS 2018 we can expect to
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Healthcare CRM: From Marketing to a Foundation for Value-based Care
For many healthcare organizations, the decision to employ a customer relationship management (CRM) solution is typically driven by the marketing department. Marketers need data-driven tools that enable them to better segment and identify high-value consumers, leverage demographics and behavioral data to personalize messages, and measure the ROI for marketing programs.Today, the potential value of healthcare CRM extends far beyond marketing, supporting myriad use cases in both clinical and
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Mount Sinai Researchers Use AI-Driven Algorithms to Help Doctors Diagnose Diseases
Researchers used machine learning techniques, including natural language processing algorithms, to identify clinical concepts in radiologist reports for CT scans, according to a study conducted at the Icahn School of Medicine at Mount Sinai and published today in the journal Radiology. The technology is an important first step in the development of artificial intelligence that could interpret scans and diagnose conditions.From an ATM reading handwriting on a check to Facebook suggesting a photo
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