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Results Found: 9
  • INSIGHT Clinical Research Network

    Alternate Title(s)
    Formerly 'NYC-CDRN', Formerly 'New York City Clinical Data Research Network'
    Description

    INSIGHT Clinical Research Network is a project founded by the Patient Centered Outcomes Research Institute (PCORI) and is part of the PCORnet program. The INSIGHT longitudinal datasets bring together New York City organizations including medical schools, medical centers, research support organizations, and practice-based research networks. Over 160 million patient encounters and 365 million diagnoses...

    Subject
    Chronic Disease
    COVID-19
    Health Care System
    Health Status
    Population Characteristics
    Quality of Health Care
    Risk Factors
    Access Rights
    Fee Required
    Application Required
    Local Expert
    Claudia Pulgarin
  • 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

    Trauma Risk Score Matching for Observational Studies in Orthopedic Trauma

    Authors
    Rown Parola
    Abhishek Ganta
    Kenneth A. Egol
    Sanjit R. Konda
    Description

    Clinical data was extracted from electronic health records from patients treated for hip fractures by the Department of Orthopedic Surgery at NYU Langone Health between October 2014 and February 2020. A total of 1,590 patients aged 55 and older were included in the retrospective review with complete records for patient's sex; body mass index; comorbidities as measured with the Charlson Comorbidity...

    Subject
    Anatomy
    Quality of Health Care
    Risk Factors
    Surgery
    Access Rights
    Free to All
  • NYU Dataset

    Outcomes of Breast Cancer Patients Treated with Chemotherapy, Biologic Therapy, Endocrine Therapy, or Active Surveillance During the COVID-19 Pandemic

    Authors
    Douglas K. Marks
    Nibash Budhathoki
    John Kucharczyk
    Faisal Fa'ak
    20 more author(s)...
    Description

    Data was abstracted from NYU Langone Health electronic health records, the Perlmutter Cancer Center Data Hub, and the NYU Langone Health SARS-CoV-2 Data Mart for all patients treated for breast cancer at Perlmutter Cancer Center either through telemedicine or in-person between February 1, 2020 and May 1, 2020 to determine the incidence of SARS-CoV-2 infection associated with treatment with cytotoxic...

    Timeframe
    2020
    Access Rights
    Application Required
    Author Approval Required
  • 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