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Results Found: 6
  • NYU Dataset

    Neurological Emergencies Outcomes at NYU

    Alternate Title(s)
    NEON
    Authors
    Ariane Lewis
    Aaron Lord
    Description

    This dataset was collected for a combined retrospective and prospective cross-sectional study to establish risk factors for infection after treatment for intracerebral hemorrhage and subarachnoid hemorrhage and to determine the impact of those infections on long-term outcomes. Data was harvested from Tisch Hospital records from January 2013 to December 2014 retrospectively and from January 2015 to...

    Subject
    Electronic Health Records
    Neuroscience
    Risk Factors
    Access Rights
    Application Required
    Author Approval Required
  • NYU Dataset

    Memory performance data as measured by acute and chronic intracranial EEG

    Authors
    Simon Henin
    Anita Shankar
    Nicholas Hasulak
    Daniel Friedman
    10 more author(s)...
    Description

    This dataset was collected for a study to replicate previous work on hippocampal physiology predictive of successful encoding using an associative memory paradigm in a surgical intracranial electroencephalography (iEEG) group and extend those investigations to a chronic ambulatory iEEG population using RNS System devices (NeuroPace, Inc.). The primary objective was to compare the hippocampal gamma...

    Subject
    Chronic Disease
    Electronic Health Records
    Neuroscience
    Access Rights
    Application Required
    Author Approval Required
  • National COVID Cohort Collaborative Data Enclave

    Alternate Title(s)
    N3C Data Enclave
    Description

    The National Center for Advancing Translational Sciences (NCATS) has systematically compiled clinical, laboratory and diagnostic data from electronic health records to support COVID-19 research efforts via the National COVID Cohort Collaborative (N3C) Data Enclave. As of August 2, 2022, the repository contains information from over 15 million patients (including 5.8 million COVID-19 positive patients)...

    Subject
    COVID-19
    Electronic Health Records
    Health Care System
    Health Status
    Infectious Disease
    Population Characteristics
    Risk Factors
    Access Rights
    Free to All
    Application Required
    Local Expert
    Silvia Curado
  • All of Us Research Hub

    Description

    With an emphasis on reaching historically underrepresented populations, the All of Us Research Program recruits adults aged 18 and above across the United States to share their health data to enable new insights into human health and research on precision medicine. Participants contribute electronic health records (EHR), survey responses, biospecimens, wearable devices (biometrics), and physical measurements....

    Subject
    COVID-19
    Electronic Health Records
    Genomics
    Health Care System
    Health Status
    Mental Health
    Population Characteristics
    Risk Factors
    Access Rights
    Application Required
    All NYU
    Local Expert
    Fred LaPolla
  • NYU Dataset

    NYUTron: Health System Scale Language Models Are All-purpose Prediction Engines

    Authors
    Lavender Yao Jiang
    Xujin Chris Liu
    Nima Pour Nejatian
    Mustafa Nasir-Moin
    24 more author(s)...
    Description

    NYUTron is a large language model-based system that was developed with the objective of integrating clinical workflows centered around structured and unstructured notes and placing electronic orders in real time. The development team queried electronic health records from all NYU Langone facilities to generate two types of datasets: pre-training datasets ("NYU Notes", "NYU Notes–Manhattan", "NYU Notes–Brooklyn")...

    Subject
    Electronic Health Records
    Access Rights
    Free to All
  • NYU Dataset

    AI Prompts for Physician Note Quality Assessment

    Authors
    Jonah Feldman
    Kathy Hochman
    Benedict Vincent Guzman
    Adam Goodman
    2 more author(s)...
    Description

    This dataset consists of AI prompts used to improve the content and quality of medical documentation in a case study at NYU Langone Health. Both prompts were used with institutional instance of GPT-4. The first prompt checks for completeness of a clinical note, ensuring that comments from the patients, an all-encompassing description of the patient, a description of the appropriate exam, and an update...

    Subject
    Electronic Health Records
    Health Care System
    Quality of Health Care
    Access Rights
    Free subject to license