title: [Automatization of a hospital-based tumor registry].
abstract: BACKGROUND
  To increase data reliability and reduce the costs associated with the HTR, the Catalan Institute of Oncology programmed the manual procedures of data collection from databases by means of a computer application (ASEDAT).
  
  
  METHODS
  ASEDAT detects the incident tumors of the registry from the databases of the pathology records (PR) and discharge records (DR) and selects the basic information from both databases. Data from the HTR data was collected for the period 1999-2000 by means of 2 procedures: manual and automatized collection and the results obtained were compared.
  
  
  RESULTS
  10,498 cancer patients were detected. Manual resolution detected 8,309 incident tumors and 2,374 prevalent tumors. ASEDAT automatically detected 8,901 patients (84.8%), in whom 8,367 incident tumors were detected (58 more tumors than the manual procedure). Validation of agreement was performed in the incident tumors detected by both methods (7,063 tumors). In 6,185 tumors (87.6%) the information agreed in all the variables. Of the discordant tumors, 692 (9.8%) were obtained by the RHT staff using manual resolution, and the remainder (186; 2.6%) were obtained by the application (automatic resolution).
  
  
  CONCLUSIONS
  Cancer registry automatization is feasible when PR and DR databases are available, coded and automatized.
authors.affiliation: Servei d'Epidemiologia i Registre del Càncer, Institut Català d'Oncologia, 08907 L'Hospitalet de Llobregat, Barcelona, España. j.ribes@iconcologia.net
authors.forename: Josepa
authors.initials: J
authors.lastname: Ribes
authors.forename: Jordi
authors.initials: J
authors.lastname: Gálvez
authors.forename: Angels
authors.initials: A
authors.lastname: Melià
authors.forename: Ramon
authors.initials: R
authors.lastname: Clèries
authors.forename: Xavier
authors.initials: X
authors.lastname: Messeguer
authors.forename: Francesc Xavier
authors.initials: FX
authors.lastname: Bosch
mesh_terms: D006753:Hospital Records; D006801:Humans; D015994:Incidence; D016347:Medical Records Systems, Computerized; D009369:Neoplasms / Q000453:epidemiology*; D015995:Prevalence; D012042:Registries; D013030:Spain / Q000453:epidemiology