title: Automatic coding of reasons for hospital referral from general medicine free-text reports.
abstract: Although the coding of medical data is expected to benefit both patients and the health care system, its implementation as a manual process often represents a poorly attractive workload for the physician. For epidemiological purpose, we developed a simple automatic coding system based on string matching, which was designed to process free-text sentences stating reasons for hospital referral, as collected from general practitioners (GPs). This system relied on a look-up table, built up from 2590 reports giving a single reason for referral, which were coded manually according to the International Classification of Primary Care (ICPC). We tested the system by entering 797 new reasons for referral. The match rate was estimated at 77%, and the accuracy rate, at 80% at code level and 92% at chapter level. This simple system is now routinely used by a national epidemiological network of sentinel physicians.
authors.affiliation: INSERM Unit 444, WHO Collaborating Center for Electronic Disease Surveillance, Paris, France.
authors.forename: L
authors.initials: L
authors.lastname: Letrilliart
authors.forename: C
authors.initials: C
authors.lastname: Viboud
authors.forename: P Y
authors.initials: PY
authors.lastname: Boëlle
authors.forename: A
authors.initials: A
authors.lastname: Flahault
mesh_terms: D016001:Confidence Intervals; D001330:Electronic Data Processing; D004813:Epidemiology; D005194:Family Practice; D006801:Humans; D008499:Medical Records / Q000145:classification*; D011320:Primary Health Care / Q000145:classification*; D012017:Referral and Consultation