Image credit: Icahn School of Medicine at Mount Sinai
What You Should Know:
– Researchers at the Icahn School of Medicine at Mount Sinai have developed a new method using artificial intelligence (AI) and routine lab…
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Early outbreak detection, allowing rapid intervention, is essential to reduce the burden of healthcare-associated pathogen transmission, including multidrug-resistant bacteria. Digital, routine data-driven solutions are promising, but often proprietary, non-interoperable, or limited in functional scope….
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What You Should Know:
– Cornerstone AI, a pioneer in advanced data quality solutions, today announced a partnership with Loopback Analytics, a leading provider of data-enabled services and solutions for health system specialty pharmacies and life…
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Differential diagnosis (DDx) is crucial for medicine as it helps healthcare providers systematically distinguish between conditions that share similar symptoms. This study evaluates the influence of lab test results on DDx accuracy generated by…
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Together, hc1 and Accumen Improve Patient Care while Boosting Health System Bottom Lines through Data Insights
hc1, the healthcare information technology leader in improving patient care and reducing costs through real-time lab data insights, today…
Connie Moser, Chief Executive Officer, Navenio
If any sector requires process improvement, it’s healthcare. There are well publicized NHS waiting list woes and A&E delays, but behind these figures are workforce and operational issues that…
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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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Rochester Regional Health is using a measured and practical approach to data interoperability. They have purposefully chosen NOT to turn on the firehose of interoperable data. Instead, they have focused their efforts on data…
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Rochester Regional Health is using a measured and practical approach to data interoperability. They have focused their efforts on data that clinicians want to use, that fits their workflow, and can be seamlessly incorporated…
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