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NYU Dataset
Newly Licensed Registered Nurse Survey
- Authors
- Christine T. Kovner
- Description
This dataset consists of the first, second, third, fourth, fifth, and sixth waves of a multi wave panel survey that studied newly licensed registered nurses who obtained their first license to practice between September 1, 2004 and August 31, 2005. It was conducted as part of the RN Work Project, a national study of new nurses funded by the Robert Wood Johnson Foundation. The survey was conducted in...
- Subject
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Health Care SystemPopulation Characteristics
- Access Rights
- Free to AllApplication Required
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NYU Dataset
Newly Licensed Registered Nurse Survey: Quality Improvement
- Authors
- Christine T. Kovner
- Description
This dataset includes information from surveys about quality improvement administered to newly licensed registered nurses who participate in the RN Work Project. The purpose of this study was to describe what newly licensed registered nurses working in hospitals learned about quality improvement in their education programs and workplaces. Quality improvement topics covered by the survey include patient-centered...
- Subject
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Health Care SystemQuality of Health Care
- Access Rights
- Free to AllApplication Required
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NYU Dataset
Newly Licensed Registered Nurse Survey: New Cohorts
- Authors
- Christine T. Kovner
- Description
This dataset represents surveys done on three cohorts of newly licensed registered nurses. These surveys were conducted as part of the RN Work Project. The survey interviewed nurses about their jobs; turnover; education; and intentions and attitudes, including satisfaction, organizational commitment, and preferences about work. The different cohorts are: Cohort 1: Nurses who obtained their first license...
- Subject
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Health Care SystemQuality of Health Care
- Access Rights
- Free to AllApplication Required
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NYU Dataset
Database for Research on Academic Medicine (DREAM): NYU School of Medicine Resident Registry
- Authors
- Sondra R. ZabarColleen GillespieLisa Altshuler
- Description
The Program for Medical Education Innovations and Research (PrMEIR) has created a registry of potentially accessible routinely-collected educational data (e.g., exams, clinical assessments, needs assessments, performance ratings) to support NYU School of Medicine's evidence-based medical education and training programs. Registry data includes all those learners in NYU’s School of Medicine who have...
- Subject
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Medical Education
- Access Rights
- Application RequiredAuthor Approval RequiredAll NYU
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NYU Dataset
Database for Research on Academic Medicine (DREAM): NYU School of Medicine Undergraduate Registry
- Alternate Title(s)
- PrMEIR Medical Student Registry
- Authors
- Sondra R. ZabarColleen GillespieLisa Altshuler
- Description
The Program for Medical Education Innovations and Research (PrMEIR) has created a registry of potentially accessible routinely-collected educational data (e.g., exams, clinical assessments, needs assessments, performance ratings) to support NYU School of Medicine's evidence-based medical education and training programs. Registry data includes all those learners in NYU’s School of Medicine who have...
- Subject
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Medical Education
- Access Rights
- Application RequiredAuthor Approval RequiredAll NYU
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T1D Exchange Quality Improvement Collaborative
- Alternate Title(s)
- T1DX-QI
- Description
The Type 1 Diabetes Exchange Quality Improvement Collaborative (T1DX-QI) collects information from over 50 participating facilities in the United States, including NYU Langone, on patient care for people with type 1 diabetes. Indicators assessed include: Continuous glucose monitoring (CGM) prescriptions and use Monitoring of HbA1c Access to diabetes technology among racial/ethnic groups Mental...
- Subject
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Chronic DiseaseHealth Care SystemRisk Factors
- Access Rights
- Free to AllApplication Required
- Local Expert
- Jeniece IlkowitzMary Pat Gallagher
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NYU Dataset
AI Prompts for Physician Note Quality Assessment
- Authors
- Jonah FeldmanKathy HochmanBenedict Vincent GuzmanAdam Goodman2 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
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Electronic Health RecordsHealth Care SystemQuality of Health Care
- Access Rights
- Free subject to license