College of Nursing
Ragnhildur Bjarnadottir Research Group
Led by Ragnhildur I Bjarnadottir · Family, Community and Health Systems Science
What we study
The lab uses AI and natural language processing to analyze unstructured clinical notes, focusing on improving patient safety and health outcomes for older adults. They study how to detect hidden risks like delirium and falls from hospital records.
What working here is like
- Computational
- Coding required
- Project
- 1
- Papers
- 5
Current projects
Nurse-driven clinical text corpora
Developing datasets from clinical notes to identify iatrogenic complications like delirium and falls.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- Identifying Candidate Predictors of Hospital-Acquired Pressure Injuries among Adult, Medical-Surgical Patients Using Clinical Expert Knowledge
2026 · Journal of Wound Ostomy and Continence Nursing
Identifies key factors that may predict pressure injuries in hospital patients.
- Predictors and Risk Factors of Necrotizing Enterocolitis
2026 · Advances in Neonatal Care
Summarizes factors that increase the risk of NEC in premature babies.
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- Artificial Intelligence, Informatics, and Pain in Aging
2025 · Clinics in Geriatric Medicine
- Reconstruction of a Risk Analysis Tool That Uses Nursing Data for Frailty Assessment Among Older Adults: Derivation and Internal Evaluation Study
2025 · JMIR Aging
Develops a tool to assess frailty in older adults using hospital data.
- Emerging Technological Innovations in Perioperative Nursing
2025 · AORN Journal
Explores how new technologies are changing nursing care in operating rooms.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
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