Speciality Medical Dialogues
    • facebook
    • twitter
    Login Register
    • facebook
    • twitter
    Login Register
    • Medical Dialogues
    • Education Dialogues
    • Business Dialogues
    • Medical Jobs
    • Medical Matrimony
    • MD Brand Connect
    Speciality Medical Dialogues
    • Editorial
    • News
        • Anesthesiology
        • Cancer
        • Cardiac Sciences
        • Critical Care
        • Dentistry
        • Dermatology
        • Diabetes and Endo
        • Diagnostics
        • ENT
        • Featured Research
        • Gastroenterology
        • Geriatrics
        • Medicine
        • Nephrology
        • Neurosciences
        • Nursing
        • Obs and Gynae
        • Ophthalmology
        • Orthopaedics
        • Paediatrics
        • Parmedics
        • Pharmacy
        • Psychiatry
        • Pulmonology
        • Radiology
        • Surgery
        • Urology
    • Practice Guidelines
        • Anesthesiology Guidelines
        • Cancer Guidelines
        • Cardiac Sciences Guidelines
        • Critical Care Guidelines
        • Dentistry Guidelines
        • Dermatology Guidelines
        • Diabetes and Endo Guidelines
        • Diagnostics Guidelines
        • ENT Guidelines
        • Featured Practice Guidelines
        • Gastroenterology Guidelines
        • Geriatrics Guidelines
        • Medicine Guidelines
        • Nephrology Guidelines
        • Neurosciences Guidelines
        • Obs and Gynae Guidelines
        • Ophthalmology Guidelines
        • Orthopaedics Guidelines
        • Paediatrics Guidelines
        • Psychiatry Guidelines
        • Pulmonology Guidelines
        • Radiology Guidelines
        • Surgery Guidelines
        • Urology Guidelines
    LoginRegister
    Speciality Medical Dialogues
    LoginRegister
    • Home
    • Editorial
    • News
      • Anesthesiology
      • Cancer
      • Cardiac Sciences
      • Critical Care
      • Dentistry
      • Dermatology
      • Diabetes and Endo
      • Diagnostics
      • ENT
      • Featured Research
      • Gastroenterology
      • Geriatrics
      • Medicine
      • Nephrology
      • Neurosciences
      • Nursing
      • Obs and Gynae
      • Ophthalmology
      • Orthopaedics
      • Paediatrics
      • Parmedics
      • Pharmacy
      • Psychiatry
      • Pulmonology
      • Radiology
      • Surgery
      • Urology
    • Practice Guidelines
      • Anesthesiology Guidelines
      • Cancer Guidelines
      • Cardiac Sciences Guidelines
      • Critical Care Guidelines
      • Dentistry Guidelines
      • Dermatology Guidelines
      • Diabetes and Endo Guidelines
      • Diagnostics Guidelines
      • ENT Guidelines
      • Featured Practice Guidelines
      • Gastroenterology Guidelines
      • Geriatrics Guidelines
      • Medicine Guidelines
      • Nephrology Guidelines
      • Neurosciences Guidelines
      • Obs and Gynae Guidelines
      • Ophthalmology Guidelines
      • Orthopaedics Guidelines
      • Paediatrics Guidelines
      • Psychiatry Guidelines
      • Pulmonology Guidelines
      • Radiology Guidelines
      • Surgery Guidelines
      • Urology Guidelines
    • Home
    • Latest News
    • New AI app may prevent...

    New AI app may prevent patients from severe falls

    Written by Hina Zahid Published On 2019-12-22T19:05:42+05:30  |  Updated On 22 Dec 2019 7:05 PM IST
    New AI app may prevent patients from severe falls

    A new machine learning app has been developed for preventing patients from severe fall-related injuries and deaths.New research has been published in npj Digital Medicine.


    Houston Methodist have developed new AI technology was developed to help address the growing concern of severe patient falls with seniors and the worry it causes their care-providers and care-givers.


    HOW IT WORKS


    The AI app predicts the risk of getting injured when a patient falls. Clinical parameters and patient demographics such as bone density, diagnosis, past procedures, etc. are used to populate the app so it then triggers tailored interventions to prevent these high-risk severe injury patients from falling – whether they are in the hospital setting or with home caregivers. This AI technology can be integrated into the patient’s electronic medical record (EMR) and make things easier for clinicians since it will be part of the record and will automatically flag or alert the care-providers for high-risk fall with harm patients when they enroll in the hospital. This will then trigger a prevention-focused intervention plan or clinical care path. The immediate benefit to the patient is to avoid falling and injuries or even death. The benefit for the hospital is that additional costs and/or lawsuits for these types of patients can be avoided.


    THE NEED


    In 2015, the estimated medical costs attributable to fatal and nonfatal falls was approximately $50.0 billion. For nonfatal falls, Medicare paid approximately $28.9 billion, Medicaid $8.7 billion, and private and other payers $12.0 billion. Overall medical spending for fatal falls was estimated to be $754 million.


    NEW RESEARCH & EXPERT AVAILABILITY


    The manuscript titled, “Preventing Inpatient Falls with Injuries using Integrative Machine Learning Prediction: A Cohort Study,” will be available for full review soon, and I’ll follow-up with a link. I just wanted to get this on your radar and see if you might be interested in learning more about this new AI app and research. I’d be happy to connect you to Dr. Stephen Wong, who spearheaded the study and can speak to the increased need for technology like this for clinicians and caregivers to help patients at risk for severe falls.


    For more details click on the link: https://doi.org/10.1038/s41746-019-0200-3
    AI appDr Stephen WongFall PreventionHouston Methodistnpj Digital Medicine
    Source : npj Digital Medicine

    Disclaimer: This site is primarily intended for healthcare professionals. Any content/information on this website does not replace the advice of medical and/or health professionals and should not be construed as medical/diagnostic advice/endorsement or prescription. Use of this site is subject to our terms of use, privacy policy, advertisement policy. © 2020 Minerva Medical Treatment Pvt Ltd

    Hina Zahid
    Hina Zahid
      Show Full Article
      Next Story
      Similar Posts
      NO DATA FOUND

      • Email: info@medicaldialogues.in
      • Phone: 011 - 4372 0751

      Website Last Updated On : 12 Oct 2022 7:06 AM GMT
      Company
      • About Us
      • Contact Us
      • Our Team
      • Reach our Editor
      • Feedback
      • Submit Article
      Ads & Legal
      • Advertise
      • Advertise Policy
      • Terms and Conditions
      • Privacy Policy
      • Editorial Policy
      • Comments Policy
      • Disclamier
      Medical Dialogues is health news portal designed to update medical and healthcare professionals but does not limit/block other interested parties from accessing our general health content. The health content on Medical Dialogues and its subdomains is created and/or edited by our expert team, that includes doctors, healthcare researchers and scientific writers, who review all medical information to keep them in line with the latest evidence-based medical information and accepted health guidelines by established medical organisations of the world.

      Any content/information on this website does not replace the advice of medical and/or health professionals and should not be construed as medical/diagnostic advice/endorsement or prescription.Use of this site is subject to our terms of use, privacy policy, advertisement policy. You can check out disclaimers here. © 2025 Minerva Medical Treatment Pvt Ltd

      © 2025 - Medical Dialogues. All Rights Reserved.
      Powered By: Hocalwire
      X
      We use cookies for analytics, advertising and to improve our site. You agree to our use of cookies by continuing to use our site. To know more, see our Cookie Policy and Cookie Settings.Ok