Kenyon Crowley, Ph.D., Health Analytics Lead, Accenture Federal ServicesThe COVID-19 pandemic shined a spotlight on the urgent need to modernize the nation’s public health system. Despite success in rapidly developing vaccines, the unprecedented public…
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EHR vendors, Epic and eClinicalWorks, have launched a generative artificial intelligence (GPT) features at the HIMSS23 conference. The tools enable provider organizations to search and summarize contextual information with natural language searches powered by…
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What You Should Know:LifeOmic, a healthcare technology company powering precision health with its end-to-end software solution, the LifeOmic Platform, today announced the launch of its Patient Mobile App. LifeOmic’s Patient Mobile App enables the two-way connection…
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What You Should Know:Patientory Inc., the creator of a blockchain-based, HIPAA-compliant, private medical data ecosystem, announced today that it has launched two solutions–Patientory Consumer Decentralized Application-designed to help patients more efficiently and securely store…
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What You Should Know:OXOS Medical, the MedTech innovator developing simple and safe X-ray solutions, announced a $23 million Series A funding from Parkway Venture Capital and Intel Capital, bringing its total funding to $45 million.OXOS continues to build…
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What You Should Know:The future of healthcare depends on access to digital-first solutions rooted in diagnostic insights that support individuals along their health journey. Everly Health, isn’t just enabling a better lab testing experience, they’re…
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Queensland-based Gold Coast Hospital and Health Service will be trying out a remote pregnancy monitoring platform by ASX-listed HeraMED.The organisations recently signed a memorandum of understanding to trial the HeraCARE platform as a “new standard of…
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Welcome to our Healthcare IT Today Weekly Roundup. Each week, we’ll be providing a look back at the articles we posted and why they’re important to the healthcare IT community. We hope this gives…
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Deep learning traditionally involves funneling huge data sets into layers of software to produce actionable insights. But when strict privacy requirements control what can appear in the output, machine learning methods have to change.
I…
