There is a real sense that we are on the cusp of a diagnostics revolution. This has been spurred on by the pandemic, which at once underscored the tremendous power of mass testing as it became the fundamental basis for decision-making, from our own personal health to national policy. It also revealed gaps in terms of needing to drastically scale up testing capacity and invest in new and innovative digital diagnostics tools.
Innovation in diagnostics, however, is
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data management
RSNA: Flywheel Builds Data Platform for Unbiased Breast Imaging AI
What You Should Know:
- Today, at RSNA, Flywheel, a leading data management platform for biomedical research and collaboration announces the creation of a federated data platform for the development of unbiased breast imaging AI.
- Funded in part by the NIH, the federated network will support breast imaging AI research and collaboration—on a scale not previously possible.
Leveraging Flywheel Discovery & Exchange
Two Flywheel technologies underpin the project. Flywheel
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Why The Stakes are Higher for Hospitals When It Comes to Data Loss & Inadequate Storage Infrastructure
According to the World Economic Forum, hospitals produce around 50 petabytes of data per year. And with 6,039 hospitals in the US alone, that amounts to a sizeable amount of data requiring secure storage. Data consists not only of confidential patient medical records but also of operational data retained by US hospitals such as personal and financial information.
This ever-increasing amount of patient data and growing risks associated with its loss, mean the stakes have therefore never been
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Google Cloud Launches AI-Powered Medical Imaging Suite
What You Should Know:
- Google Cloud launches Medical Imaging Suite that addresses common pain points organizations face in developing artificial intelligence (AI) and machine learning models.
- Google Cloud enables the development of AI for imaging to support faster, more accurate diagnosis of images, increased productivity for healthcare workers, and improved care access and outcomes for patients.
Google Cloud's Medical Imaging Suite Key Features
Key features of the Medical
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3 Tips for Securing Private Healthcare Data
Technology is a dominant force in healthcare. During the pandemic, healthcare systems relied on technology to swiftly move to virtual care, remote work, and more collaborative communication and data management systems – and that will accelerate. As organizations speed up their digital transformation initiatives and increase their reliance on digital applications, growing concerns about data privacy arise.
According to a 2021 HIMSS Healthcare Cybersecurity Survey of 167 healthcare
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Digiceuticals: Driving Growth Through Digital Health Services
There was tremendous interest in telemedicine before 2020. However, the COVID-19 pandemic made it a reality triggering unprecedented disruption across the industry. For instance, digital-first healthcare aggregators had been testing programs for telemedicine but, since 2020, the demand for telehealth services has exploded across the globe. Despite stabilizing forces such as vaccine rollouts, telehealth utilization remains 38 times higher than it was in the years before the pandemic (1). Health
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Enzee Health Nabs $1.5M for Cloud-Based Compliance Management Platform
What You Should Know:
- Enzee Health, formerly ZapIT! Medical is announcing it has secured $1.5M in seed financing, led by Rev1 Ventures with participation from Tamarind Hill, Harbor Street Ventures, M7 NEO, Redgrave Investments, Service Provider Capital and others.
- Enzee empowers hospital personnel to easily perform and track required quality testing within departments, eliminating the inefficiencies of paper record keeping, and making it easier for administrators to assess whether
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Imaging Strategy and Digital Mastery in Healthcare IT
How you handle imaging says a lot about your organization’s digital maturity
The ongoing digitalization of industry continues to disrupt business and service models in every sector. Even though U.S. healthcare has traditionally lagged behind other fields in technological adaptation, there has still been a broad and tremendous shift in how healthcare functions, which is driven by IT infrastructure.
From the slow and often frustrating rise of the EHR to the lightning fast rollout of
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Realizing the Dream of AI in Clinical Trials—How to Address Key Challenges
The clinical development process is incredibly time consuming and only yields a success rate of about 10%. One way to reduce the time, cost and success of the clinical development process is to introduce artificial intelligence (AI) into clinical trials and implement AI-driven process automation.
The dream of AI in clinical trial execution is for trial functions to run autonomously, like a self-driving car. A self-driving car knows how fast it is going, where it needs to go,
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MedAllies Selects Lyniate for EMPI & Data Management
What You Should Know:
- Lyniate, a healthcare data interoperability announced MedAllies, a multimodality connectivity services company, has chosen Lyniate Enterprise Master Patient Index (EMPI) by NextGate to better serve its healthcare clients and partners.
- This integration will bolster MedAllies’ identity data management capabilities to increase the accuracy of the data it exchanges for the benefit of all.
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