Occupational wellness survey for healthcare workers

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Mental illnesses affect over 20-30% of adults in the United States, and women are twice as likely than men to develop depression or post-traumatic stress disorder.
Prevention against stress-induced maladaptive behaviors.
This technology is a prophylactic treatment for stress-induced maladaptive behaviors, including fear, depression, and anxiety.
Rapid assessment tool for emergency situations.
This technology has the potential to expand access to appropriate mental health care, particularly in low-resource or emergency environments, as well as expedite treatment planning for high-risk patients.
Biological sensor for healthcare monitoring.
Unmet Need: Machine learning software for unbiased, automated mental health assessment.
The Technology: Objective assessment system for mental and psychiatric illness.
    • Tags
      • 4
        Primary care
      • 3
        Mental health
      • 3
        Major depressive disorder
      • 3
        Machine learning
      • 2
        Anxiety
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    • Categories
      • 22
        Biology
      • 20
        Branches of biology
      • 12
        Neuroscience
      • 7
        Brain
      • 7
        Mind
      • Add ...
    • Inventors
      • 2
        Allison Norful
      • 2
        Lusine Poghosyan
      • 2
        Suzanne Bakken
      • 1
        Adriana Arcia
      • 1
        Andre M. F. Correa d'Almeida
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    • Manager
      • 13
        Joan Martinez
      • 4
        Sara Gusik
      • 3
        Dovina Qu
      • 2
        Jerry Kokoshka
      • 1
        Beth Kauderer
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    • Departments
      • 6
        School of Nursing
      • 4
        Psychiatry
      • 3
        Biomedical Informatics
      • 2
        Biomedical Engineering
      • 2
        Medicine
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    • Divisions
      • 13
        Columbia University Medical Center (CUMC)
      • 6
        School of Nursing (CUMC)
      • 2
        Fu Foundation School of Engineering and Applied Science (SEAS)
      • 1
        CUMC
      • 1
        Columbia Business School
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    • Reference Number
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    • Release Date
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