title: [Follow-up of cancer treatment activities at the University Teaching Hospital in Dijon: the value of data from standardized discharge summaries].
abstract: This work aimed to assess the feasibility of coalescing data sources to follow up on the management and delivery of cancer patient care using both anatomical-pathological data and a medical record information system based on the "Medicalisation of Information Systems Programme" which is administered by an independent source. The study group was comprised of all hospitalised cancer patients in the Dijon university teaching hospital during the first quarter of 2001. Data were obtained from a cross-analysis of medical records with pathological information and standard discharge files. A manual validation was then carried out to ensure a valid synthesis. Overall, 1377 abstracts were created and selected for cancer patients hospitalized for the first time. Among these, 60% were validated by the compatibility and concordance of data between the medical record discharge issued and the pathological record, less than 5% were identified only through looking at the anatomical-pathological data in the medical record, and 24% identified by exploring the patient discharge forms. These results demonstrate the difficulty and challenge as well as the benefits of crossing multiple sources of patient information and combine them to more thoroughly and appropriately assess the hospital's activity for caring for cancer patients.
authors.affiliation: Service de Biostatistique et Informatique Médicale, Centre Hospitalier Universitaire de Dijon, INSERM, U866, BP 77908, 21079 Dijon cedex.
authors.forename: Monique
authors.initials: M
authors.lastname: Titton
authors.forename: Christine
authors.initials: C
authors.lastname: Binquet
authors.forename: Michèle
authors.initials: M
authors.lastname: Vourc'h
authors.forename: Laurent
authors.initials: L
authors.lastname: Martin
authors.forename: François
authors.initials: F
authors.lastname: Girodon
authors.forename: Catherine
authors.initials: C
authors.lastname: Quantin
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D005260:Female; D005602:France; D006751:Hospital Information Systems; D006785:Hospitals, University; D006801:Humans; D008297:Male; D008875:Middle Aged; D009369:Neoplasms / Q000628:therapy*; D010351:Patient Discharge; D055815:Young Adult