Clinical Testing of a Clinical Decision Support System Integrated into a Medical Information System in a Therapeutic Dentistry Clinic

As part of this research, an intelligent clinical decision support system was developed to enhance the diagnostic efficiency of oral mucosal diseases. Following manual modeling of graph-based representations of oral mucosal diseases and development of disease prediction and diagnostic modules using algorithmic methods, the intelligent clinical decision support system underwent testing. For clinical validation, the CDSS was integrated into healthcare information systems of medical institutions and made accessible via smartphone and computer screens. The study involved evaluation of clinical, laboratory, and instrumental patient data.

Objective. Clinical validation of a Clinical Decision Support System integrated with a Medical Information System in a therapeutic dentistry clinic.

Materials and methods. Retrospective analysis of medical records of patients with oral mucosal diseases, prospective study of patients with oral mucosal conditions, Clinical Decision Support System.

Results. Clinical validation of the Clinical Decision Support System was successfully conducted in a therapeutic dentistry clinic.

Conclusions: The clinical validation demonstrated the CDSS’s capability to: extract symptoms with 91.8% accuracy, establish preliminary diagnosis with 84.7% accuracy, determine final diagnosis based on analysis of additional diagnostic methods with 94.6% accuracy.

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