In another great interview by Zahida Siddiqi in Skilled Nursing News, Tom Coble of American Health Plans was asked, "What would you do to improve the collection of patient health data?" His response, "Develop AI tools that will mine all existing data. Both current and past. This will turn the information into usable tools that can be used to predict future care based on past care results." Mine all existing data. At SAIVA AI, we agree with him. Our Machine Learning AI models mine all existing clinical data in the EMR. We help Skilled Nursing caregivers be more efficient by making them aware of those residents, long or short-stay, who are most in need of intervention and prioritizing care for them. We've been at it for close to five years and would love to discuss it with you.
SAIVA AI
Software Development
Mountain View, California 2,598 followers
Mitigate clinical risk with Artificial Intelligence by forecasting patient decline and adverse health events
About us
SAIVA AI reads your patients’ EHR for subtle clinical indications. Delivering reliable predictions, insights and notifications, modeled by your documentation, SAIVA AI gives your teams the tools they need to remain alert and aware of patients at greatest risk for clinical decline and hospitalization. Based in Silicon Valley and Research Triangle Park our team is a group of passionate healthcare technology veterans, engineers, and data scientists leveraging cutting edge technology to predict patient risk and tools that drive timely intervention. We were founded to improve patient outcomes across the care continuum by closing the gap between the volumes of clinical data generated as part of a patient episode and actionable insights to reduce or eliminate patient risk for hospitalization.
- Website
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https://saiva.ai
External link for SAIVA AI
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- Mountain View, California
- Type
- Privately Held
- Founded
- 2018
Locations
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Primary
Get directions
196 Castro St
Mountain View, California 94041, US
Employees at SAIVA AI
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Oren Ariel
Entrepreneur, CTO & Startup Advisor
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Tim Tarpey
Vice President Sales at SAIVA AI
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Gill Bejerano
Stanford Professor AI & Healthcare, Co-Founder, Chief Data Scientist
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Warren S. Krackov, MD, FSIR, MA, MSHA, CPE
Interventional/Diagnostic Radiologist | Associate Program Director HCA Healthcare/USF College of Medicine Diagnostic Radiology Residency, Trinity…
Updates
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Looking forward to seeing long-time customers, future customers, partners and friends at booth 207 at the @Florida Healthcare Association Annual Convention. Come visit with SAIVA AI's Eric Tracy and Tim Tarpey to talk about how efficiently prioritizing care for your most needy residents helps to improve care.
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Tim Tarpey and I are attending eCapWest24 - 6/17 - 6/19! We would love to connect with you in Phoenix! Reach out and let's set a time to meet! SAIVA A.I. - Your Guide on the Side! @eCapSummit! https://www.ecapwest.com/
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We're #hiring a new Data Scientist in United States. Apply today or share this post with your network.
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Paris Girginis, VP of Innovation and Reimbursement for Mission Health Communities (MHC), pressed with responsibility to ensure proper and reimbursable clinical interventions to improve care, decided to explore how AI machine learning could assist him with his objectives. In early 2023, Girginis and his clinical team embarked on a machine learning journey (with TapestryHealth and SAIVA AI) to assist clinicians with insight into better decision-making. Incorporating machine learning into the daily clinical cadence allowed MHC to strategically review all patient records for opportunities to provide clinical interventions, thus improving overall patient outcomes. Mike Logan, MHA, CSM wrote about it in McKnight's Long-Term Care News here. https://lnkd.in/gP9-MjrM
Using machine learning to improve clinical intervention
https://www.mcknights.com
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Well done Mike.
Exciting News - My most recent article in McKnight's Long-Term Care News is out! Thank you to Mordy Eisenberg for your contribution - TapestryHealth - SAIVA AI. Take 3 minutes to learn about Machine Learning in LTC. https://lnkd.in/g-DpYcgW
Using machine learning to improve clinical intervention
https://www.mcknights.com
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We’re #hiring. Apply today or share this post with your network.
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The SAIVA AI team would love to meet you at AHCA/NCAL 2023 in Denver! You've heard about it in theory, let's talk about how AI is positively impacting clinical outcomes in SNF/LTC at booth #1417! And to our valued users, will you please stop by to say hi in person? Eric Tracy Mike Logan Shane Dearing Tim Tarpey
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