Wyniki wyszukiwania - BazTech

1

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

Chleborad K., Zvara Jr. K., Dostalova T., Zvara K., Hippmann R., Ivancakova R., Zvarova J., Smidl L., Trmal J., Psutka J.

Biocybernetics and Biomedical Engineering

|

2013

|

Vol. 33, no. 4

204--210

EN

This paper compares three methods of storage data of the patients in the field of dentistry: the paper dental card, a lifetime dental EHR controlled by keyboard and a lifetime dental EHR controlled by voice. The EuroMISE Center developed a pilot EHR application called MUDR Lite (multimedia distributed electronic health record). The study compares the elapsed time necessary to update/enter the information about the patient's dental status using the above mentioned three methods. The paper dental card is the most rapid method, but not the best for medical documentation and dentists.

2

Biomedical informatics research for Individualized life-long shared healthcare

Zvarova J., Hanzliek P., Nagy M., Prečkova P., Zvara K., Seidl L., Bureš V., Šubert D., Dostalova T., Seydlova M.

Biocybernetics and Biomedical Engineering

|

2009

|

Vol. 29, no. 2

31-41

EN

Aim: We developed a multimedia electronic health record MUDR and introduced it to the field of cardiology and dental medicine. We developed a graphical component called DentCross supported by automatic speech recognition connected to an electronic health record (BRR) in dentistry. Platform for semantic interoperability was designed utilizing international communication standards. Methods: Our approach consisted of three main steps. 1) Development of the multimedia distributed electronic health record MUDR, 2) Development of the interactive graphical DentCross component with automatic speech recognition connected to electronic health record in dentistry. 3) Development of minimal data model for cardiology (MDMC) as the base for studying semantic interoperability issues. Results: Dental health data for more than 100 patients were collected using EHR with the DentCross component, the DentCross component was used in forensic dentistry and for e-Iearning activities. We found that approximately 85% of the MDMC concepts are included in at least one classification system. More than 50% of MDMC are included in the SNOMED Clinical Terms. Conclusions: Structured representation of information in EHR and use of international standards, classifications and nomenclatures is a necessary prerequisite to semantic inte-roperability issues as well as to an automatic speech recognition.

3

Computer support of detecting risk of cardiovascular diseases

Franek P., Tomeckova M., Zvarova J.

Biocybernetics and Biomedical Engineering

|

2002

|

Vol. 22, no. 1

61-68

EN

The paper is focusing on analysis of data collected in twenty years lasting longitudinal study of 1417 middle-aged men living in the second district of Prague. Examination of methods that can support estimation of the risk of cardiovascular disease development in time is done. These methods examined were neural networks, discriminat analysis and logistic regression. The final comparison was done according to percentage of correct decisions and using ROC curves.

4

Clinical databases originating in electronic patient records

Zvarova J.

Biocybernetics and Biomedical Engineering

|

2002

|

Vol. 22, no. 1

43-60

EN

The paper is focusing on new technologies to standardize electronic documentation in Czech healthcare environment. Various approaches for collecting and storing biomedical information using new information technologies are considered with respect to all legislative and standarization norms in the Czech Republic. Development of new approaches is based on experience gathered in the European 14C-TripleC project. New approaches for implementation of European ideas in the Czech healthcare environment are given. The focus on Czech healthcare record is presented. Special features of electronic healthcare record to serve in telematic applications for exploring electronic medical guidelines and medical decision support systems are discussed.