- Geisinger/IBM’s AI and Data Science team are working together to prevent sepsis, life-threating infection through early detection and research.
- Geisinger team used IBM Watson Studio open-source tools to build a predictive model that would ingest clinical data from thousands of de-identified sepsis patients spanning a decade.
- Geisinger uses IBM Watson Explorer to create a searchable index of thousands of medical publications for clinicians and researchers can now mine the journal
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Sepsis
Vocera Vina Smartphone App Launches to Optimize Patient Safety
- Vocera Vina smartphone app launches to help improve clinical communications and enhance patient safety by reducing the clerical burdens that lead to burnout.
- The customizable communication app presents prioritized patient-centric calls, secure messages, and alerts in a unified inbox, and provides an intuitive user experience for clinicians inside and outside the hospital.
- Drawing from the hospital EHR, this the vendor-agnostic platform works alongside all other Vocera products to
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UTHealth, Cerner Opens Data Science Challenge Focused on Sepsis
The University of Texas Health Science Center at Houston (UTHealth) School of Biomedical informatics (SBMI) with Cerner has announced the DII National Data Science Challenge. Leveraging Cerner Health Facts® and Amazon Web Services (AWS) cloud support, this year’s challenge will focus on predictive accuracy for two tasks (tracks): sepsis onset and sepsis mortality. The most innovative solution (not necessarily the one with the best performance) to the above referenced tasks constitutes a third
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How Can Health System Command Centers Reduce Cost Growth?
Scott Newton, DNP, RN, MHA, EMT-P, VP of Care Model Solutions at Teletracking In our decentralized care landscape, health system command centers (HSCC) are coordinating high-quality care through complex and integrated delivery networks (IDN). Recently, command centers were recognized by KLAS and Gartner as a new model of care delivery with the potential to impact clinical, financial, and operational outcomes. That means in addition to improving routine health system operations—and increasing
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UM Spinout Fifth Eye Lands $11.5M for Early Warning Patient Deterioration System for Hospitals
Fifth Eye, a medical device software spinoff from the University of Michigan building clinical early warning patient deterioration system for hospitals has raised $11.5 million in Series A funding led by Arboretum Ventures and Cultivation Capital. Other participants in the round include were MINTS, the direct investing arm of the University of Michigan’s endowment, along with additional capital from previous investors Invest Michigan and 35 private angel investors.Why Clinicians Need A Better
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KLAS: Providers Name Epic Systems, Cerner Market Leaders for EHR-based Sepsis Detection
According to a recent KLAS report, adoption of Cerner’s and Epic’s EHR-based sepsis detection is higher than all other sepsis solutions combined, with customers of both reporting improved outcomes, including mortality reductions. The new report reveals sepsis detection and treatment is taking a big step forward as providers increasingly utilize surveillance and monitoring technology available through EMR vendors and third-party providers.“We have been using (the Cerner sepsis) product for seven
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