Effect of PDCA Nursing Model Based on Artificial Intelligence Strategies on Nurses’ Performance Regarding Care of Children with Henoch-Schonlein Purpura

Abstract
Background: Successful implementation of AI into clinical practice requires a thorough understanding of the attitudes and behaviors of the nurses. Aim: To evaluate the effect of PDCA nursing model based on artificial intelligence strategies on nurses’ performance regarding care of children with Henoch-Schonlein Purpura. Subjects and Method: Design: The present study was carried out utilizing a quasi-experimental research design. Setting: The present study was conducted at inpatient pediatric blood disease unit at Benha Specialized Pediatric Hospital in Benha City. Subjects: All available nurses, composed of 60 nurses working at the previously mentioned settings were included in the current study regardless of their personal characteristics. Tools: Four tools were used for data collection, Tool I: A structured interviewing questionnaire. Tool II: An observational checklist to assess nurses' practice regarding care of children with Henoch-Schonlein Purpura Tool III: Nurses' attitudes toward artificial intelligence. Tool IV: Nurses' opinion regarding the effectiveness of each stage of PDCA model. Results: The majority of the studied nurses had satisfactory level of knowledge and competent level regarding their total practice post PDCA model application. Also, the majority of them had positive attitude post PDCA model application. Conclusion: PDCA Nursing Model based on Artificial Intelligence strategies significantly improved nurses' performance in caring for children with Henoch-Schonlein Purpura. Recommendation: Developing strategies to improve nursing care for children with Henoch-Schonlein Purpura is needed to achieve high competent nurses’ performance.