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To evaluate the artificial intelligence-assisted lymphedema education material in patients undergoing breast cancer surgery.
A comprehensive, successful methodological design was used to evaluate the portability of the expandable, AI-supported lymphedema education material for breast cancer. The study was reported in accordance with the STROBE statement (see Data S1 for the completed STROBE [Strengthening the Reporting of Observational Studies in Epidemiology] checklist). When preparing the AI-supported lymphedema education material managed with breast cancer treatment, it is first determined in the education of patients. Then, the commands of the Chat GBT-4 program are included in the scope of the transferred education content. For the created education content, readability was first evaluated and expert opinion was taken for the final version of the draft.
While preparing the AI-assisted lymphedema education material in the study, expert opinions were obtained, and the educational needs of the patients were determined by scanning the literature. Then, 12 commands were given in the ChatGPT-4 program to create the educational content. Formulas were used to evaluate the readability of the created educational content in Turkish and the readability of the health literature. The validity of the lymphedema education material was presented to 10 experts. The experts evaluated the understandability and actionability of the educational material using the Patient Education Materials Evaluation Tool and the Global Quality Scale, which evaluates the quality of the educational material.
It was concluded that the readability index of the lymphedema education material for Turkish was 67.3, and the Turkish readability level was ‘easily understandable’. The readability index of health literature was found to be 11.28, 9.68, 10.58, 39.0, and 11.26, respectively. When the internal consistency coefficient between the experts was examined, it was found to be 0.74. It was determined that the Patient Education Materials Evaluation Tool understandability score average was 92.10 ± 9.03, and the actionability score average was 81.60 ± 18.47. The Global Quality Scale score average, which evaluates the suitability and quality of the content of the AI-supported educational material, was found to be 4.10 ± 0.87.
At the end of the study, it was determined that the educational material was reasonable regarding understandability and actionability. The Turkish readability level was also reasonable and easily understandable.
This study is one of the proactive attempts to use AI in preparing educational materials for nurses and healthcare professionals.
No patient or public contribution.
This study examined the anxiety levels of nurses and nurse candidates regarding humanoid nurse robots and artificial intelligence health technologies in perioperative patient care.
Descriptive and cross-sectional study.
The research was conducted with 158 intern students and 167 surgical nurses. Socio-demographic characteristics form, Questions Form Regarding Humanoid Nurse Robots and Artificial Intelligence Health Technologies, Artificial Intelligence Anxiety Scale and The Medical Artificial Intelligence Preparedness Scale were used. The independent t-test and one-way analysis of variance (ANOVA) were used. This study complied with Appendix S1.
The total scores on the Artificial Intelligence Anxiety Scale for nurses and nursing students are 73.089 ± 31.667 and 73.624 ± 28.029, respectively. The total scores on the Artificial Intelligence Readiness Scale for nurses and nursing students are 71.736 ± 15.064 and 72.183 ± 13.714, respectively. When comparing the sociodemographic characteristics and scale scores of nurses, a statistically significant difference was found between age and the Artificial Intelligence Anxiety Scale scores (p < 0.05). There was also a statistically significant difference between age, gender and work duration and the Artificial Intelligence Readiness Scale scores for nurses (p < 0.05).
Both groups exhibited moderate levels of anxiety and readiness regarding artificial intelligence. Comprehensive research is needed to elucidate the impact of artificial intelligence technologies on nursing professionals.
The proper use of Artificial Intelligence technologies can enhance the quality of patient care, alleviate the workload, increase patient and staff satisfaction and foster new perspectives on acceptance. With their integration into clinics, a patient-centred care environment will emerge, improving patient safety, outcomes and overall well-being. Thus, the anxieties of nurses and students towards artificial intelligence technologies will decrease, and their readiness will increase.
No Patient or Public Contribution.
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