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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.
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  • EuroMISE Centre, Department of Medical lnformatics. lnstitute of Computer Science AS CR. Prague, The Czech Republic
Bibliografia
  • 1. United States National Library of Medicine, National Institute of Health, Unified Medical Language System, 2005. Available at http://www.nlm.nih.gov/research/umls/.
  • 2. KalraD,: Electronic Health Record Standards. IMIA Yearbook of Medical Informatics 2006, Methods Inf Medicine 2006, 45, Suppl l, 136-144.
  • 3. Los R.K., van Ginneken A.M., van der Lei J.: OpenSDE: a strategy for expressive and flexible structured data entry. Int. J. Med. Inform. 2005, 74, 481-490.
  • 4. Nagy M., Hanzlicek P,Preckova P,Kolesa P.,Misur J., Dioszegi M.,Zvarova J.: Building Semanticaly Interoperable EHR Systems Using International Nomenclatures and Enterprise Programming Techniques. In: Blobel B., Pharow P., Zvarova J., Lopez D., editors. eHealth: Combining health Telernatics, Telemedicine, Biomedical Engineering and Bioinformatics to the Edge. CeHR 2007, Conference Proceedings, 2007 Dec 2-5, Regensburg, Germany. Amsterdam: IOS press, 2008, 105-110.
  • 5. Blobel B.: EHR architectures- comparison and trends. Studies in Health Technology and Informatics 2008, 134, 59-73.
  • 6. Reuss E., Menoyyi M., Buchi M., Koller J., Krueger H.: Information access at the point of care: what can we learn for designing a mobile CPR system? Int. J. Med. Inform. 2004, 73, 365-369.
  • 7. Pharrow P., Blobel B.: Electronic signatures for long lasting storage purposes in electronic archives. Int. J. Med. Inform. 2005, 74, 279-287.
  • 8. Sax U., Kohane I, Mandl K.D.: Wireless technology infrastructures for authentication of patients. PKI that rings. J. Am. Med. Inform. Assoc. 2005, 12, 263-268.
  • 9. Min Z., Baofen D., Weeber M., van Gineken A.M.; Mapping Open SDE domain models to SNOMED CT. Methods Inf. Med. 2006, 1, 4-9.
  • 10. Gallanter W.L., Didomenico R.J., Polikaitis.: A trial of automated decision support alerts for contraindicated medications using physician order entry. J. Am. Med. Inform. Assoc. 2005, 12, 269-274.
  • 11. Noehr C.: Evaluation of electronic health record systems. IMIA Yearbook of Medical Informatics 2006. Methods Inf. Med. 2006, 45 Suppl.1, 107-113.
  • 12. Hayrinen K., Saranto K., Nykanen P.: Definition, structure, content, use and impacts of electronic health records: A review of the research literature. Int. J. Med. Inform. 2008, 77, 291-304.
  • 13. Grasso M.A.: Automated speech recognition in medical applications. MD Computing 1995, 12, 16-23.
  • 14. van Ginneken A.M., Stqam H., van Mulligen E.Mn de Wilde M., van Mastrigt R., van Bemmel J.H.: ORCA: the versatile CPR. Methods Inf. Med. 1999, 38, 332-338.
  • 15. Spidlen J., Hanzlicek P, Riha A., Zvarova J.: Flexible Information Storage in MUDRII EHR. Int. J. Med. Inform. 2006, 75, 201-208.
  • 16. Hanzlicek P., Spidlen J., Heroutova H., Nagy M.: User Interface of MUDR Electronic Health Record. Int. J. of Med. Inform. 2005, 74, 221-227.
  • 17. Spidlen J., Hanzlicek P, Zvarova J.: MUDRLite- Health Record Tailored to Your Particular Needs. in Duplaga M. et al. (Eds.): Transformation of Healthcare with Information Technologies, Amsterdam, IOS Press 2004, 202-209.
  • 18. Muller L., Psutka J., Smidl L.: Design of Speech Recognition Engine. TSD 2000, Lecture Notes in Artificial Intelligence, Heidelberg, Springer, 2000.
  • 19. Dostalova T., Seydlova M., Zvarova J., Hanzlicek P., Nagy M.: Computer-supported treatment of patients with the TMJ parafunction. eHealth: Combining telematics. telemedicine, biomedical engineering and bioinformatics to the edge. IOS press AKA, Berlin 2008. 171-177.
  • 20. Zvarova J., Dostalova T., Hanzlicek P., Teuberova Z., Nagy M., Pies M., Seydlova M., Eliasova H., Simkova H.: Electronic health record for forensic dentistry. Methods Inf. Med. 2008, 47, 8-13.
  • 21. Zvarova J., Zvara K.: Evaluation of Knowledge using ExaMe program on the Internet. In: Iakovidis J., Maglavera S., Trakatellis A., eds.: User Acceptance of Health Telematics Applications. Amsterdam, IOS Press 2000, 145-151.
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  • 24. Tomeckova M. et al.: Minimal data model of cardiological patient. (in Czech). Cor et Vasa 2002, 4, 123.
  • 25. International Health Terminology Standards Development Organisation. Available at: http://www. ihtsdo.org/snomed-ct/
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bwmeta1.element.baztech-article-BPZ3-0030-0020
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