Topic: Writing Sprint 1. Setting the stage. Exhibit review. Identifying the narrative. Discussing the implications. Draft session part 1. The Fall 2024 PNA Seminar theme is "A PNA Perspective on WEIRD-A Special Writing Workshop Series"
Topic: Writing Sprint 2. Draft session part 2. Revision session. Conclusion and next steps. The Fall 2024 PNA Seminar theme is "A PNA Perspective on WEIRD-A Special Writing Workshop Series"
Samantha Totoni, MPH, PhD, Department of Environmental and Occupational Health Research supervision and mentorship in the Public Health Undergraduate Scholars Program This seminar has been created as a platform for postdoctoral scholars and junior researchers to discuss their research/work, give talks, and have an opportunity for peer discussions. If you are interested in showcasing your […]
Thinking About It All Together: An Exploratory Analysis to Understand Comorbidities in People Living with Dementia Yuchen Zhang, BSN, RN, PhD Student, Department of Acute and Tertiary Care, University of Pittsburgh School of Nursing Flyer for Fall 2024 Topics at Noon Series →
Topic: Finishing Touches. The Fall 2024 PNA Seminar theme is "A PNA Perspective on WEIRD-A Special Writing Workshop Series"
Topic: What Have We Learned
Topic: Finalize Sprint Paper This week, we will work on editing the tables, figures, and the first draft of the manuscript. Authorship requirements and recap of paper timeline (5 min). ICJME guidelines: https://www.icmje.org/recommendations/browse/roles-and-responsibilities/defining-the-role-of-authors-and-contributors.html Timeline: - Design Figures/Tables: January 16, 2025 - Complete 1st draft of introduction: January 16th, 2025 - Complete 1st draft of Methods: […]
Topic: Intro to EHR Guest Lecturer Dr. Eric Strobl will lead the discussion on the fundamentals of EHR EHR fundamentals OMOP Common Data Model Codified data Diagnoses Procedures Medications Labs Narrative data NLP pipelines EHR data quality Uses of EHR data Bias in EHR data
Topic: Use of Machine Learning to Address Bias in EHR Guest speaker Dr. Olga Kravchenko will lead the discussion on machine learning, giving real world examples with her expertise on developing AI/ML applications in family medicine and primary care.
Topic: Introduction to "All of Us" and study design for hands on sessions This lecture will be led by Dr. Richard Boyce, professor in Biomedical Informatics.
