Electronic System for Data Record and Automatic Diagnosis Assessment in the Temporomandibular Joint Disorders

Abstract

Background: The research goal of the Dental segment of the Centre of Biomedical Informatics is focused on the electronic health record (EHR) development for dentistry. Objectives: At the beginning there has been constructed an electronic dental cross "DentCross", which was representing patients dental data in the graphical form. It has been completed with the system of the automatic speech recognition (ASR) and voice synthesis module (TTS). Methods: The main goal of this work was to reach the high entirety of the system and its automatization. For this reason it has been completed with the special record medium for the temporomandibular disorders (TMD). Results: Concerning the experience with the old version the knowledge database (KB) for TMD has been structured differently. A classification diagnostic schema by the American Academy of Orofacial Pain (AAOP) has been used. The KB has been created in the MUDR KB Editor application. On this basis a relational database has been constructed and a user interface for data collection based on MUDR and MUDRLite EHR systems was developed. Conclusions: The main advantage of this system is determination of probable diagnosis of the disease (AAOP) by the system ("custom" component). It is based on the MUDr. Radek Hippmann characteristic data, which have been recorded in the electronic form after the investigation. For the creation of the component of its alone MS Visual Studio.NET 2003 development tool has been used. The whole component is programmed in C language.

Evaluation of voice-based data entry to an electronic health record system for dentistry

“…The access to this information by the authorized professionals as well as the storage of this information in a standardized way is the main technological challenge to the implementation of these distributed electronic health-care record systems. From our study it is evident that the dentist EHR has a special ontology [17,18] and dentists check their observation using graphical structure of the EHR. Driven by the needs to provide an electronic data capture at the site of care, we have developed EHR software, that provides a voice-controlled user interface in combination with a universal graphical UI.…”