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Results Found: 143
  • Cognitive Decline Detection: NYU Langone Health EHR
    NYU Dataset

    Description

    This data was compiled to prepare for a grant to build EHR workflows to better detect cognitive decline. It includes data from the Lutheran Family Health Center location. Clinical patient demographics and comorbidities data are included.

    Subject
    Delivery of Health Care
    Electronic Health Records
    Mental Health
    Geographic Coverage
    New York (City)
    Access Rights
    Fee Required
    Application Required
    NYU Langone Health Employees Only
    Local Expert for NYU
    Devin Mann
  • LOSe PTSD: NYU Langone Health EHR
    NYU Dataset

    Description

    This dataset was compiled as part of a study to evaluate the efficacy of losartan during 10 weeks of treatment for adults with post-traumatic stress disorder (PTSD). The secondary objective of the study was to evaluate whether subjects with the CC genotype at rs4311 in the Angiotensin Converting Enzyme gene (ACE) are more likely to respond to losartan compared to T carriers. This dataset includes the medical reference number and contact information for patients between 18 and 70 years of age with a current PTSD diagnosis. Patients with liver failure, renal failure, chronic kidney disease, heart failure, epilepsy, schizophrenia, and schizoaffective disorder are excluded.

    Subject
    Electronic Health Records
    Mental Health
    Geographic Coverage
    New York (City)
    Access Rights
    Application Required
    NYU Langone Health Employees Only
    Local Expert for NYU
    Naomi Simon
  • Lung Cancer Screening Support: NYU Langone Health EHR
    NYU Dataset

    Description

    This data was compiled as part of a project to improve scalable clinical decision support for lung cancer screening that can be integrated with the electronic health record (EHR). The purpose of this project is to develop and widely disseminate an effective and patient-centered shared decision making tool for lung cancer screening.

    Subject
    Cancer
    Delivery of Health Care
    Electronic Health Records
    Geographic Coverage
    New York (City)
    Access Rights
    Fee Required
    Application Required
    NYU Langone Health Employees Only
    Local Expert for NYU
    Devin Mann
  • Identifying Diabetes Patients: NYU Langone Health EHR Dataset
    NYU Dataset

    Description

    This dataset was compiled as part of a retrospective cohort study to develop a method to identify diabetes patients. For both accurate provider performance and effective deployment of best practice alerts, it is essential for health organizations to have an accurate registry of diabetes patients. For patients aged 18 - 85, data from encounters between January 2013 and November 2016 were obtained from the NYU Langone Epic EHR. Data collected include (1) date of birth; (2) ICD-9 diagnoses from the patient's problem list; (3) ICD-9 diagnoses associated with billing from that specific encounter; (4) ICD-9 procedure codes; (5) results of A1C testing; and (6) all prescribed medications.

    Subject
    Chronic Disease
    Electronic Health Records
    Geographic Coverage
    New York (City)
    Access Rights
    Fee Required
    Application Required
    NYU Langone Health Employees Only
    Local Expert for NYU
    Himali M. Weerahandi
  • Osteoarthritis and Bariatrics Retrospective Study: NYU Langone Health EHR
    NYU Dataset

    Description

    This dataset was compiled as part of a study to compare long-term outcomes of a Total Knee Arthroplasty (TKA) after bariatric surgery. All patients in this dataset are part of the Bariatric Surgery clinical patient population. A control group of extremely obese patients who undergo immediate TKA will be compared to the test group, obese patients who undergo a TKA after bariatric surgery. Criteria for inclusion include a diagnosis of knee osteoarthritis, knee pain, and a BMI exceeding 35. Data pulled include date of birth and the patient's entire medical history.

    Subject
    Chronic Disease
    Electronic Health Records
    Risk Factors
    Geographic Coverage
    New York (City)
    Access Rights
    Fee Required
    Application Required
    NYU Langone Health Employees Only
    Local Expert for NYU
    Jonathan Samuels
  • Visual Diagnosis for Electrocardiograms (ECGs): NYU Langone Health EHR
    NYU Dataset

    Description

    This dataset was compiled to help create an education program that allows participants to improve their visual diagnosis skills for electrocardiograms (ECGs). The dataset includes the cardiologists interpretation of the ECG done in the Tisch Adult Emergency Department during an emergency department visit as well as the emergency department discharge diagnosis ICD-10 code, Troponin, and ECG report.

    Subject
    Electronic Health Records
    Geographic Coverage
    New York (City)
    Access Rights
    Application Required
    NYU Langone Health Employees Only
    Local Expert for NYU
    Martin Pusic
  • NYU Cardiomyopathy Registry: NYU Langone Health EHR
    NYU Dataset

    Description

    This dataset was compiled as part of a project to create a unified clinical and imaging registry of NYU Langone Health patients with cardiomyopathy, particularly noncompaction cardiomyopathy. Between August 1, 2016 and July 31, 2017, this datasets contains the total number of transthoracic echocardiograms (TTEs), the total number of TTEs which contain mention of noncompaction in the free text of the report, and the total number of TTEs that contain mention of trabeculations in the free text of the report.

    Subject
    Chronic Disease
    Electronic Health Records
    Geographic Coverage
    New York (City)
    Access Rights
    Application Required
    NYU Langone Health Employees Only
    Local Expert for NYU
    Muhamed Saric
  • Glomerulonephropathy Study Patients: NYU Langone Health EHR
    NYU Dataset

    Description

    This dataset was compiled to compare recruitment strategies for Cure Glomerulonephropathy (CureGN). The dataset includes contact information with patients with minimal change disease (MCD), membranous nephropathy, and focal segmental glomerulosclerosis.

    Subject
    Chronic Disease
    Electronic Health Records
    Geographic Coverage
    New York (City)
    Access Rights
    Application Required
    NYU Langone Health Employees Only
    Local Expert for NYU
    Howard Trachtman
  • Couple Interaction and Health Behaviors: NYU Langone Health EHR
    NYU Dataset

    Description

    This dataset was compiled as part of a study on corrosive couple interactions among people with or at risk for diabetes and their impact on health behaviors and regimen adherence. This dataset includes the name, mailing address, and telephone number of all adult patients diagnosed with diabetes (ICD-9: 250.00 or 790.29) who are receiving care at NYU Internal Medicine Associates.

    Subject
    Chronic Disease
    Electronic Health Records
    Geographic Coverage
    New York (City)
    Access Rights
    Application Required
    NYU Langone Health Employees Only
    Local Expert for NYU
    Antoinette Schoenthaler
  • Ordering Patterns of Advanced Cross-sectional Imaging: A Retrospective EHR Review: NYU Langone Health EHR
    NYU Dataset

    Description

    This dataset was compiled as part of a retrospective review of ordering patterns of advanced cross-sectional imaging. The review focuses on clinical encounters in which imaging was ordered in order to determine the characteristics of the encounter associated with such ordering. For each clinical encounter in which a CT, MRI, US, NM, or PET is ordered for an adult outpatient within the radiology department. This dataset includes the patient age, gender, ethnicity, race, insurer, language spoken, imaging modality, specific exam code, day of week and time of day of the image event, whether or not the image event is scheduled, whether the patient cancels the image event, or whether the patient does not show up to the image event. For the visit when the exam occurred, the dataset includes information on ordering specialty, ordering degree, day of the week and time of day when the exam was ordered, patient location of the visit when the imaging was ordered (e.g., emergency department, outpatient, inpatient), and the delay in days between the visit and the imaging event.

    Subject
    Delivery of Health Care
    Electronic Health Records
    Geographic Coverage
    New York (City)
    Access Rights
    Application Required
    NYU Langone Health Employees Only
    Local Expert for NYU
    Andrew Rosenkrantz