[The development of the set of basic data on specialised ambulatory care (SBD-SAC) of Osakidetza. Pilot scheme in three hospitals]

Yetano Laguna J, Ladrón de Guevara Portugal JM, López Arbeloa G, Salvador Blanco J, Rodríguez Tejedor S, Ogueta Lana M, Guajardo Remacha J
Record ID 32018000620
Spanish
Original Title: Desarrollo del conjunto de datos básicos de la asistencia ambulatoria especializada (CDB-AAE) de Osakidetza. Experiencia piloto en tres hospitales
Authors' objectives: Define a Set of Basic Data on Specialised Ambulatory Care (SBD-SAC), develop an application that will allow the SBD-SAC to be gathered and the automatic coding of diagnostics and procedures and the implementation in three hospitals.
Authors' results and conclusions: This paper presents an assessment of the quality of decentralised coding in emergency care episodes, the list of agreed SBD-SAC variables and data on the use of KodifiKa (80.3% of automatic coding) as well as their technical description in Annex 1. CONCLUSIONS The availability of a SBD-SAC in our National Health System is desirable and achievable if the Health Department normalises this, the use of the Electronic Clinical History increases and the problem of coding the diagnostics and procedures of huge amounts of cases of ambulatory care with semiautomatic systems that guarantee quality is resolved. We argue in favour of the implementation of a mixed coding programme (decentralised-centralised) such as KodifiKa.
Authors' methods: The scientific literature and the regulations of a number of autonomous communities have been reviewed, a SBD-SAC with the variables to be gathered has been defined, the quality of the decentralised coding of emergency services in 4 Osakidetza hospitals has been assessed and the KodifiKa programme (automatic coding with the ICD-9-CM of the diagnostics entered by the health service professionals who provide ambulatory care) has been developed. KodifiKa processes a literal expression of the diagnostics and is capable of coding this in accordance with the knowledge contained in a database of already coded diagnostic literals using artificial intelligence in the semantic assessment of the diagnostic expression.
Details
Project Status: Completed
Year Published: 2011
English language abstract: An English language summary is available
Publication Type: Other
Country: Spain
MeSH Terms
  • Ambulatory Care
  • Ambulatory Care Information Systems
  • Healthcare Common Procedure Coding System
  • Artificial Intelligence
  • International Classification of Diseases
  • Diagnosis-Related Groups
Keywords
  • Artificial Intelligence
  • Healthcare Common Procedure Coding System
  • Ambulatory Care
  • International Classification of Diseases
  • Clasificación Internacional de Enfermedades
  • Atención Ambulatoria
  • Sistema de codificación de procedimientos comunes de salud
  • Inteligencia Artificial
Contact
Organisation Name: Basque Office for Health Technology Assessment
Contact Address: C/ Donostia – San Sebastián, 1 (Edificio Lakua II, 4ª planta) 01010 Vitoria - Gasteiz
Contact Name: Lorea Galnares-Cordero
Contact Email: lgalnares@bioef.eus
Copyright: Osteba (Basque Office for Health Technology Assessment) Health Department of the Basque Government
This is a bibliographic record of a published health technology assessment from a member of INAHTA or other HTA producer. No evaluation of the quality of this assessment has been made for the HTA database.