A5011581555- Simulation-Based Education in Healthcare
- Simulation Techniques and Applications
- Palliative Care and End-of-Life Issues
- Artificial Intelligence in Healthcare and Education
- Patient-Provider Communication in Healthcare
- Nursing Education, Practice, and Leadership
- AI in cancer detection
- Interprofessional Education and Collaboration
- Innovations in Medical Education
- Organ Donation and Transplantation
- Ethics in medical practice
- Systems Engineering Methodologies and Applications
- Grief, Bereavement, and Mental Health
- Nursing education and management
University of Utah
2013-2024
To design an interface to support communication of machine learning (ML)-based prognosis for patients with advanced solid tumors, incorporating oncologists' needs and feedback throughout design.
PURPOSE Use of artificial intelligence (AI) in cancer care is increasing. What remains unclear how best to design patient-facing systems that communicate AI output. With oncologist input, we designed an interface presents patient-specific, machine learning–based 6-month survival prognosis information aid oncology providers preparing for and discussing with patients advanced solid tumors their caregivers. The primary purpose this study was assess patient caregiver perceptions identify...
When an acute blood transfusion reaction occurs, clear communication, teamwork, and knowledge of the roles responsibilities each member healthcare team are essential. In this clinical practice simulation exercise, interprofessional approach was used to teach appropriate recognition response reaction. Students were given opportunity skills, apply knowledge, effectively collaborate as they provided patient care. Realistic staging, debrief sessions guided by expert faculty members, reflective...
In Brief Simulation resources aren't just for nursing students. Here, researchers explain a unique way to use this forum.
A son's loss and the healing power of giving.