To develop an artificial intelligence (AI) and machine learning (ML) process focused on physicians' variability during the pre-treatment peer review processes and assess the impact of the process in the RT work system on patient safety.

Predictive modeling has recently attracted a lot of attention from organizations trying to leverage AI and big data to improve their work processes such as decision-making. However, real-world problems are rarely well-formulated machine learning problems. Practitioners have to supply a well-defined predictive target to operationalize a predictive model. In such cases, they often resort to using observed variables to approximate the actual construct of interest. For example, people have used high sales numbers as a proxy for a good employee. Proxy label selection is a recurring challenge when predictive ML is applied to real-world problems. The purpose of this interview study is to understand how ML practitioners select proxy labels, evaluate proxy labels, and iterate through the different tasks involved.

The purpose of this study is to create a registry that will collect clinical data from participants attending UNC Hospitals who may present with metastatic cancer and are evaluated to receive radiation therapy. We hope to create a registry that future studies can pull from to study the impacts of radiation therapy on patient cancer outcomes.

The purpose of this study is to test a program to help people who have knee or hip osteoarthritis (OA) to increase their physical activity (PA).

The purpose of the study is to investigate nurses' perceptions of pain management and opioid use in patients who have received nerve blocks. This research aims to explore various aspects related to the utilization of nerve blocks in pain management protocols and the potential implications for opioid prescribing practices. Specifically, the study seeks to: Assess the adequacy of pain management in patients who receive nerve blocks, as perceived by frontline healthcare providers. Evaluate nurses' perceptions of the effectiveness of nerve blocks in providing targeted pain relief compared to traditional opioid-based analgesia. Investigate nurses' attitudes towards opioid sparing strategies and whether they believe patients who have received nerve blocks require fewer opioids for pain management. Examine nurses' experiences with and attitudes towards training in pain management, particularly in the context of nerve blocks, to identify potential areas for improvement in professional development. Explore the integration of evidence-based practices into clinical care and the extent to which nerve

We are surveying engineering doctoral students in the US to learn more about what factors lead them to continue or leave their training. We are especially interested in their perceptions of the climate of their programs.

To understand if advanced communication training for 4th year medical students improves comfort with having difficult conversations as resident physicians.

To understand current pneumococcal vaccination practices and vaccination barriers at rural community pharmacies in the southeast.

To develop novel PROs for evaluating QoL among patients after IPAA, including those with acute pouchitis and chronic pouch-related conditions.

The Substance Use Prevention, Education, and Research (SUPER) Project aims to reduce adolescent substance use in Durham County by implementing Botvin Life Skills Training with 7th grade students and by providing the Triple P parenting program to parents/caregivers of youth ages 11-16.