Effectiveness of Artificial Intelligence Mobile App-Guided Prevention and Treatment Protocols on Cancer Patients and Their Impact on Healthcare Workers' Competence

Background The integration of artificial intelligence into healthcare has garnered significant attention for its ability to revolutionize healthcare delivery, improve prevention and treatment protocols for cancer patients, extend healthcare coverage, enhance the competence of healthcare workers, and transform patient outcomes. This study was conducted to evaluate the impact of artificial intelligence mobile app-guided prevention and treatment protocols on cancer patients and their impact on healthcare workers competence. Methods A quasi-experimental design was used to collect data from a purposive sample of 60 cancer patients and 60 healthcare providers using Google Forms. Five tools were utilized for data collection. Results Patients reported improved usability of the mobile app, with most finding it welcoming, understandable, and helpful, though some experienced minor confusion or irrelevant responses. Healthcare workers’ perceived benefits and efficiency in the use of the mobile app by health workers increased significantly after the intervention at p < 0.01. Health awareness among nurses was improved by the intervention from 0% to 33.3% who stated that this had a positive effect. Symptoms attributed to chemotherapy, including nausea, fatigue, alopecia, loss of appetite, and anxiety, were successfully enhanced by the mobile app-guided prevention and treatment protocols. The AI-based application has emerged as a promising supportive intervention in oncology care due to improving patient service, compliance with treatment regimens, and personnel performance. Conclusion The mobile app based AI significantly improved patients' care by increasing adherence to protocols of prevention and treatment, thereby improving symptoms related to chemotherapy. It also enhances the efficiency of health workers to support better patient outcomes and is an effective tool for the optimization of healthcare delivery and quality.