Methods Inf Med 2008; 47(01): 8-13
DOI: 10.3414/ME0426
For Discussion
Schattauer GmbH

Electronic Health Record for Forensic Dentistry

J. Zvárová
1   Center of Biomedical Informatics, Prague, Czech Republic
2   Department of Medical Informatics, Institute of Computer Science, Academy of Sciences of the Czech Republic, Prague, Czech Republic
,
T. Dostálová
1   Center of Biomedical Informatics, Prague, Czech Republic
3   Department of Paediatric Stomatology, Second Faculty of Medicine of Charles University, Prague, Czech Republic
,
P. Hanzlíček
1   Center of Biomedical Informatics, Prague, Czech Republic
2   Department of Medical Informatics, Institute of Computer Science, Academy of Sciences of the Czech Republic, Prague, Czech Republic
,
Z. Teuberová
1   Center of Biomedical Informatics, Prague, Czech Republic
3   Department of Paediatric Stomatology, Second Faculty of Medicine of Charles University, Prague, Czech Republic
,
M. Nagy
1   Center of Biomedical Informatics, Prague, Czech Republic
2   Department of Medical Informatics, Institute of Computer Science, Academy of Sciences of the Czech Republic, Prague, Czech Republic
,
M. Pieš
1   Center of Biomedical Informatics, Prague, Czech Republic
2   Department of Medical Informatics, Institute of Computer Science, Academy of Sciences of the Czech Republic, Prague, Czech Republic
,
M. Seydlová
1   Center of Biomedical Informatics, Prague, Czech Republic
3   Department of Paediatric Stomatology, Second Faculty of Medicine of Charles University, Prague, Czech Republic
,
H Eliášová
4   Department of Biological Analysis, Institute of Criminalistics, Prague, Czech Republic
,
H. Šimková
4   Department of Biological Analysis, Institute of Criminalistics, Prague, Czech Republic
› Author Affiliations
Further Information

Publication History

Received: 12 May 2006

accepted: 22 February 2007

Publication Date:
19 January 2018 (online)

Summary

Objectives: To identify support of structured data entry for electronic health record application in forensic dentistry.

Methods: The methods of structuring information in dentistry are described and validation of structured data entry in electronic health records for forensic dentistry is performed on several real cases with the interactive DentCross component. The connection of this component to MUDR and MUDRLite electronic health records is described.

Results: The use of the electronic health record MUDRLite and the interactive DentCross component to collect dental information required by standardized Disaster Victim Identification Form by Interpol for possible victim identification is shown.

Conclusions: The analysis of structured data entry for dentistry using the DentCross component connected to an electronic health record showed the practical ability of the DentCross component to deliver a real service to dental care and the ability to support the identification of a person in forensic dentistry.

 
  • References

  • 1 Los RK, van Ginneken AM, van der Lei J. OpenSDE: a strategy for expressive and flexible structured data entry. Int J Med Inform 2005; 74: 481-490.
  • 2 van Ginneken AM. The computerized patient record: balancing effort and benefit. Int J Med Inf 2002; 65: 97-119.
  • 3 Bakker A. Access to EHR and access control at a moment in the past: A discussion of the need and an exploration of the consequences. Int J Med Inform 2004; 73: 267-270.
  • 4 Kalra D. Electronic Health Record Standards IMIA Yearbook of Medical Informatics 2006. Methods Inf Med 2006; 45 (01) 136-144.
  • 5 Blobel B. Advanced EHR Architecture – Promises or Reality. Methods Inf Med 2006; 1: 95-101.
  • 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 Kluge EHW. Informed consent and the security of the electronic health record (EHR): some policy considerations. Int J Med Inform 2004; 73: 229-234.
  • 8 Pharlow P, Blobel B. Electronic signatures for long lasting storage purposes in electronic archives. Int J Med Inform 2005; 74: 279-287.
  • 9 Sax U, Kohane I, Mandl KD. Wireless technology infrastructures for authentication of patients PKI that rings. J Am Med Inform Assoc 2005; 12: 263-268.
  • 10 Min Z, Baofen D, Weeber M, van Gineken AM. Mapping Open SDE domain models to SNOMED CT. Methods Inf Med 2006; 1: 4-9.
  • 11 Friedman C, Shagina I, Lussier Y, Hripcsak G. Automated encoding of clinical documents based on natural language processing. J Amer Med Inform Assoc 2004; 11: 392-402.
  • 12 Hunt DL, Haynes RB, Hanna SE, Smith K. Effects of computer-based clinical decision support systems on physician performance and patient outcomes: a systematic review. JAMA 1998; 280: 1339-1346.
  • 13 Galanter WL, Didomenico RJ, Polikaitis A. A trial of automated decision support alerts for contraindicated medications using physician order entry. J Am Med Inform Assoc 2005; 12: 269-274.
  • 14 Noehr C. Evaluation of electronic health record systems IMIA Yearbook of Medical Informatics 2006. Methods Inf Med 2006; 45 (01) 107-113.
  • 15 van Ginneken AM, Stqam H, van Mulligen EM, de Wilde M, van Mastrigt R, van Bemmel JH. ORCA: the versatile CPR. Methods Inf Med 1999; 38: 332-338.
  • 16 Chapenoire S, Schuliar Y, Corvisier JM. Rapid, efficient dental identification of 92% of 13 train passengers carbonized during a collision with a petrol tanker. Am J Forensic Med Pathol 1998; 19: 352-355.
  • 17 Interpol. Disaster victim identification guide. Lyon, France: Interpol; 2005. Available at http://www.interpol.com/public/disastervictim/default.asp.
  • 18 American Board of Forensic Odontology.. Body identification guidelines. J Am Dent Assoc 1994; 125: 1244-1254.
  • 19 Sweet D, DiZinno JA. Personal identification through dental evidence-tooth fragments to DNA. J Calif Dent Assoc 1996; 24: 35-42.
  • 20 Goldstein M, Sweet DJ, Wood RE. A specimen positioning device for dental radiographic identification. Image geometry considerations. J Forensic Sci 1998; 43: 185-189.
  • 21 Ŝpidlen J, Pieŝ M, Teuberová Z, Nagy M, Hanzlíãek P, Zvárová J, Dostálová T. MUDRLite – an electronic health record applied to dentistry by the usage of a dental-cross component EMBEC’05. IFMBE Proceeding 2005; 11: 1077-1081.
  • 22 Hanzlíãek P, Ŝpidlen J, Heroutová H, Nagy M. User Interface of MUDR Electronic Health Record. In: Baud R. et al. (eds). IJMI 2005; 74: 221-227.
  • 23 Ŝpidlen J, Hanzlíãek P, ’ íha A, Zvárová J. Flexible Information Storage in MUDRII EHR. Int J Med Inform 2006; 75: 201-208.
  • 24 Ŝpidlen J, Hanzlíãek P, Zvárová 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. pp 202-209.
  • 25 Weedn VW. Post-mortem identifications of remains. Clin Lab Med 1998; 18: 115-137.
  • 26 Hampson GV, Cook SP, Frederiksen SR. The Australian Defence Force response to the Bali bombing, October 12, 2002. Med J Aust 2002; 177: 620-623.
  • 27 Plass Data. DVI System International – Disaster Victim Identification. www.dvisystem.com last accessed: December 11, 2006
  • 28 Plass Data. DVI System International brochure. Plass Data Software A/S.
  • 29 Chalmers J. et al. WHO-ISH Hypertension Guidelines Committee 1999 Guidelines for Management of Hypertension. J Hypertens 1999; 17: 151-185.