Jvion

@JvionHealth

Jvion helps providers prevent harm by enabling clinical staff to focus attention, resources, and interventions on patients whose outcomes can be improved.

Atlanta, GA
Vrijeme pridruživanja: travanj 2012.

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  1. Prikvačeni tweet
    5. stu 2019.

    The KLAS-CHIME report on impact in healthcare is in: Jvion recognized as having "by far the largest client base in the healthcare AI market," & "the largest offering of prebuilt healthcare content for ML models."

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  2. prije 15 sati

    With , you can find modifiable patients and intervene sooner to prevent congestive heart failure readmissions, which can be as high as 35% in the first year. See how is already making a difference in :

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  3. 4. velj

    In honor of , learn about how can providers deliver better care under the Oncology Care Model. Find out how used to account for and identify hidden high-risk cancer patients in :

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  4. 30. sij

    Jvion is honored to be named the top Predictive Analytics Solution for 2020 by in their annual report of top rated solutions, based on CX + satisfaction from a poll of 700+ healthcare orgs. Read more in our blog post:

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  5. proslijedio/la je Tweet

    Machine-learning systems spot patterns that indicate which patients have high risk profiles for sepsis

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  6. 29. sij

    With purpose-built merging clinical data with data and the latest medical research, you can transform your into a powerful engine for preventing harm and improving quality scores. Learn how in a new blog post by Dr. John Frownfelter:

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  7. 28. sij

    is killing 1 in 5 people globally each year. at features using Jvion's to go "beyond predictions to make treatment recommendations" for at-risk sepsis patients. Read more:

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  8. 22. sij

    How can lessons from search engines improve the EHR experience, reduce alert fatigue and personalize treatment? Find out in a new article for by Jvion CPO Dr. John Showalter:

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  9. proslijedio/la je Tweet
    19. sij
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  10. proslijedio/la je Tweet
    20. sij

    Predicting Utilization With Applied - - They found that the social determinant of health most associated with risk was air quality

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  11. 21. sij

    How did reduce patient readmissions, improve physician communication and save $1M in less than one year? Download the case study to find out:

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  12. 17. sij

    By harnessing , hospitals can shift prevention efforts from secondary to primary prevention. Download the case study to learn how . applied AI to reduce sepsis rates by 22.5% :

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  13. 16. sij

    What does it take to be one of the top companies of the year? Catch up on Jvion's achievements from the past year and find out why named Jvion one of the top 25 AI Companies of 2019. Learn more in our year-end retrospective:

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  14. 2. sij

    Dr. Molander () shares her thoughts on : "AI will be able to recognize early warning signs of sepsis quicker than I can. But my biggest concern is alarm fatigue. AI-driven alerts need to be sensitive, specific, and actionable." Learn more

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  15. 30. pro 2019.

    The latest report delves into ’s potential impact on care delivery. In line with the report’s findings, Jvion’s AI is primed to improve outcomes at every stage: prevention, detection, diagnosis, and treatment. Read the blog to learn how:

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  16. 24. pro 2019.
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  17. 20. pro 2019.

    A recent survey of 900+ HC professionals found that 78% reported workflow improvements after deploying . Learn how AI is "re-humanizing" healthcare and creating more time for clinicians to build relationships with patients :

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  18. 19. pro 2019.

    Revisit 's interview with Jvion CEO Shantanu Nigam ():

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  19. 19. pro 2019.

    Jvion is proud to be included in 's list of the top 25 companies of 2019. It's an honor to be recognized for the hard work we do each day to prevent patient harm. See the full list here:

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  20. 11. pro 2019.

    In a new blog post, Dr. John Frownfelter shares some strategic considerations for choosing a Clinical solution. Where to begin? Start by clearly defining your goals and develop a road map from there. Learn more:

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  21. 6. pro 2019.

    Transforming care delivery through is possible, but requires 4 key building blocks. Learn more from and the new report on AI and care delivery:

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