FDA Observation Trends and UNC Common IND/IDE Audit Findings
Join NRP for a hybrid education session on the FDA and common findings noted during IND/IDE audits at UNC.
This seminar has been rescheduled for July 15, 2025.
Join the TraCS Data Science Lab for a seminar given by Peter Leese exploring the foundational elements of healthcare cost data—a critical component in analyzing and managing healthcare delivery. We will introduce key concepts such as charges, costs, and reimbursements, clarifying how each plays a role in the financial landscape of healthcare services. We will delve into the structure and purpose of charge codes, revenue codes, and Diagnosis-Related Groups (DRGs), and examine how these coding systems contribute to cost tracking, billing, and payment processes. By the end of the seminar, attendees will have a clearer understanding of how to navigate and interpret healthcare data related to billing and reimbursement particularly focused on research and public health.
Speaker:
Peter Leese, MSPH
Director, TraCS Data Science Lab
Seminars in the NC TraCS Data Science Lab Seminar Series cover a range of topics related to health care data science, clinical data, data engineering, and working in these areas at UNC-Chapel Hill. These hybrid seminars are held monthly on the third Tuesday of each month from 12:30-1:30 p.m. in the NC TraCS suite on the 2nd floor of Brinkhous-Bullitt or via Zoom.
Modern language models show impressive performance across a wide range of domains and tasks. Despite this often impressive performance, it is largely unknown how their general-purpose components such as transformers concretely achieve these goals. This talk will discuss established and recently proposed methods to model interpretation and introduce some late-breaking results from the joint lab at the University of Tübingen and Brown University, led by Carsten Eickhoff.
Carsten Eickhoff is a professor of medical data science and computer science at the University of Tübingen where his lab specializes in the development of machine learning and natural language processing techniques with the goal of improving patient safety, individual health and quality of medical care. Prior to joining Tübingen, he was the Manning Assistant Professor of Medical and Computer Science at Brown University. He received degrees from the University of Edinburgh and TU Delft, and was a postdoctoral fellow at ETH Zurich and Harvard University. Eickhoff has authored more than 150 articles in computer science conferences (e.g., ICLR, ACL, SIGIR, WWW, KDD) and clinical journals (e.g., Nature Digital Medicine, The Lancet – Respiratory Medicine, Radiology, European Heart Journal). His research has been supported by the Swiss National Science Foundation, NSF, NIH, DARPA, IARPA, Google, Amazon, Microsoft and others. Aside from his academic endeavors, he is a founder and board member of several deep technology startups in the health sector that strive to translate technological innovation to improved safety and quality of life for patients.
For more information about this seminar, visit datascience.unc.edu.
This is the second session in the Systematic Review Summer Workshop Series offered by the UNC Health Sciences Library. The Project Management and Helpful Tools for Conducting Systematic Reviews workshop provides will cover helpful resources to consult and use through the systematic review process.
This workshop is being offered remotely via Zoom only. Registrants will receive a Zoom link; those on the waitlist will not receive a Zoom link unless they are bumped up to a registered spot.
This half-day course on vital signs and anthropometric measurements is offered by the NC TraCS Clinical and Translational Research Center (CTRC).
The goal of the course is to provide clinical research staff with the necessary education and hands-on experience to complete measurements for adult participants, including blood pressure (using automatic equipment), pulse (using automatic equipment), respiratory rate, temperature (oral, using electronic equipment), oxygen saturation (finger probe), height (using a stadiometer), and weight (using electronic scales) for clinical research protocols.
The course will consist of lecture, an exam, and hands-on practice. To successfully complete the course, students must attend the full session, pass the exam, and successfully obtain and document at least one complete set of vital signs. Note: Manual blood pressure measurements are not covered in this training.
Please be aware that practice vital sign and anthropometric measurements will be performed on members of the class. All attendees should be prepared and willing to have measurements taken on themselves during the session.
Completion of this course does not qualify attendees as licensed personnel or result in certification (e.g., Nurse Aid I). However, attendees who successfully complete the course will receive a certificate of completion documenting their vital sign measurement training.
Students who successfully pass the course will also receive a digital badge that represents course completion. Digital badges are micro-credentials that can be displayed in email signatures, online portfolios, social media profiles, and other areas. Digital badges for this course are maintained through Credly.
Cost: $75.00Students will have an opportunity to take a 30-minute lunch break (bring your own or visit one of the nearby cafeterias) after the lecture portion is completed.
Please contact Janette Goins This email address is being protected from spambots. You need JavaScript enabled to view it. if you have questions regarding this training. Please notify Janette at least two (2) business days before the training if you are unable able to attend.
This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:
Scott Garrison MD, PhD, CCFP
Professor, University of Alberta, Department of Family Medicine
Director, Pragmatic Trials Collaborative