Background: It is very important to obtain the correct input data in order to achieve the ultimate goal, which is to set a diagnosis and start treatment. In recent years, algorithms and therapeutic guides have provided great relief in everyday work. Aim: To present the importance of algorithms in everyday medical practice, especially in the practice of plastic surgery specialists. Methods: Descriptive analytical method of algorithm description was used in the detection, diagnosis and treatment of malignant melanoma in medical practice and as a basis, the authors explored published articles in the medical literature from existing online databases, as well as on the basis of their own experiences in the diagnosis and treatment of malignant melanoma. Results: The results indicate that the algorithms can and are used in diagnosis, determining the degree of malignant melanoma invasiveness, staging, and selection of adequate modalities of malignant melanoma treatment. Also, the algorithms are useful in planning of surgical treatments as well as patient postoperative follow-up and adjuvant modalities selection. Conclusion: The construction and development of health information systems in practice is motivated by a significant increase in the complexity of the health system globally. In recent years, there has been a rapid and intensive increase in the total amount of data in the health system. The main reason for this is the increase in overall medical knowledge based on the great advancement of medical science, profession and skills. The need to ensure the right and reliable information and to improve the quality of medical work, as well as to rationalize the costs of health care, has led to the intensive development of health information systems.
Key words: Diagnosis and treatment algorithms, malignant melanoma.
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