Subscribe to RSS
DOI: 10.1055/s-0038-1636843
The Clinic-specific Thesaurus: a Means of “Lean Documentation in Pediatric Surgery
Publication History
Publication Date:
17 February 2018 (online)
A one-hundred percent documentation rate of diagnoses and patient data is unfeasible and should not be pursued. Therefore, a “lean documentation” of diagnoses and basic patient data was introduced. Coding is done by a clinic-specific list of diagnoses (thesaurus) with a minimum of diagnostic codes, combined with optional free text. By recording the frequency of diagnoses for two years, a thesaurus of 188 diagnostic codes was developed. Bedside coding by treating physicians reduced medical and semantic mistakes of documentation. Cooperation of the clinicians was obtained by shortening the time required for coding to less than two minutes per patient. A documentation assistant supplemented incomplete data in collaboration with the treating surgeons. During a ten-year testing period 93.7% of the hospital-specific codes of our thesaurus were required for documentation, as compared to 13.1% if the same patients were coded by ICD-9. Consequently, coding by a clinic-specific code thesaurus is quick, flexible and accurate.
-
REFERENCES
- 1 Consorti F, Assenza M, Fern F. et al. MSR: A decision support for the decision strategy of surgeons. Proceedings of Medical Informatics in Europe. Amsterdam: IOS Press; 1993
- 2 Densen PM, Fielding JE, Getson J, Stone E. The collection of data on hospital patients. The Massachusetts Health Data Consortium Approach. N Engl J Med 1980; 302: 171-3.
- 3 Essin DJ. Intelligent processing of loosely structured documents as a strategy for organizing health care records. Meth Inform Med 1993; 32: 65-8.
- 4 Biefang S, Kopeke W, Schreiber MA. Manual for the Planning and Implementation of Therapeutic Studies. Springer; Heidelberg: 1983
- 5 Barnett GO. The application of computer- based medical record systems in ambulatory practice. N Engl J Med 1984; 310: 1643-50.
- 6 Collen MF. The use of documents for computer-based patient records. Meth Inform Med 1993; 32: 269.
- 7 Giere W. BAIK - Befunddokumentation und Arztbriefschreibung im Krankenhaus. Forschungsbericht DVM 256 des BMFT. Media Verlag; 1986
- 8 Lamberts PM, Roger FH. Hospital Statistics in Europe. Amsterdam: North-Holland Publ Comp; 1982
- 9 Diemer A. Klassifikation, Thesaurus und was dann? Das Problem der “dritten Generation” in Dokumentation und Wissenschaft. Nachr Dok 23 1972; 23: 52-7.
- 10 Höpker WW. Das Problem der Diagnose und ihre operationale Darstellung in der Medizin. Heidelberg: Springer; 1977
- 11 Kayser K. Logic and diagnosis. Meth Inform Med 1993; 32: 76-80.
- 12 Alliger K. Diagnoseschlüssel der Kinderchirurgie unter Anlehnung an den ICD-9 (Dissertation). Münster: 1986
- 13 Roger FH. The Minimum Basic Data Set (MBDS) for Hospital Statistics in the EC. Luxemburg 1981: Commission of the European Communities; 1981
- 14 Osada N, Jorch G, Osada M, Moeremanns N, Fründ S, Rabe H. Ein Dokumentationssystem zu Unterstützung der Frühgeborenen-Intensivpflege. In: Überla K, Rienhoff O, Victor N. eds. Medizinische Information und Statistik. Heidelberg: Springer; 1990
- 15 Read JD. Comprehensive coding. Br Med Health Comp 1986; 03: 22-5.
- 16 Weed LL. Medical Records, Medical Education and Patient Care. Chicago: Year Book Medical Publishers; 1969
- 17 Wingert F. An indexing system for SNOMED. Meth Inform Med 25 1986; 25: 22-30.
- 18 Hall PA, Lemoine NR. Comparison of manual data coding errors in two hospitals. J Clin Pathol 1985; 39: 622-6.
- 19 Willital GH. Atlas der Kinderchirurgie. Stuttgart: Schattauer Verlag; 1981
- 20 Osada N. The patient classification system PMC and its application. In: Opitz O, et al. eds. Studies in Classification, Data Analysis and Knowledge Organisation. Berlin: Springer; 1992
- 21 Young WW. Patient management categories: an analytic tool for health care management. In: Robert Bosch Stiftung. eds. Beiträge zur Gesundheitsökonomie; 1992