Project Title: Automated NANDA-I Nursing Diagnosis Based on Real Clinical Data: Development and Validation of an Artificial Intelligence Model
Project Leader: Lecturer Burak CAN
Vocational School
Department of Computer Technologies
Project Duration: 18 months
The primary objective of the project is to use the Electronic Health Record system to analyze structured and unstructured real-world clinical data collected during hospital admission and follow-up, to develop an artificial intelligence model capable of suggesting patient-specific potential NANDA-I nursing diagnoses with high accuracy, and to validate the model’s performance by comparing it with diagnoses assigned by expert nurses for the same patients.
News: Office of Information and Communication