The social behaviour of some animals have been simulated to design intelligent systems capable of solving complex problems such as those experienced in healthcare. Researchers and medical practitioners are interested in swarm intelligence (SI) in the healthcare domain. However, there have been limited published research on this subject from the perspective of resource allocation especially in line with providing a solution to pediatric patients’ referral. The researchers were able to find 16,870 distinct data using a comprehensive literature review. 979 research were left for detailed review following titles and abstracts were screened. In the end, 90 research were found to meet the requirements. The paper filtered study characteristics of researchers (country of the corresponding author); social variables of authors (number of participants and type of disease or treatment studied); intervention parameters (SI methods models); and outcome characteristics, including patient, practitioner, and health-care system impacts. According to the assessment, there is a developing foundation of expertise. Clinical decision-making, quality healthcare organization and management, predictive medicine, clinical documentation and testing analysis, and patient data and diagnostics are among the topics covered. The highest number of studies came from the United States, China, and the United Kingdom. SI can also enable practitioners in developing diagnoses, forecasting disease spread, connecting patient needs to therapy continuums, and customizing treatment courses, according to the findings. Several AI applications for healthcare coverage are revealed in the literature, as well as a channel of study results that have not yet been thoroughly explored. With referral services forming minimal areas covered. Pediatric patients’ referral completely misses out. SI projects, as per the report, include knowledge and data integrity awareness for content analysis and knowledge-based management. These insights can be used by scientists and health practitioners to better understand and address future SI research in the care industry business.