Ws 43 Equip. Computers And Data Management: A Workshop On How To Improve Quality In Family Medicine

Conference: 
Author(s): 
Schattner P, Errikson T, Steylaerts C, Kunnamo I, Bhend H
Australia
peter.schattner@med.monash.edu.au
Text: 
Aim(s) or purpose: Workshop objectives are to: 1)describe various approaches to using computer-held data to improve quality of care; and 2) analyse the enabling factors for the adoption of data management.
Design and method: Five short presentations that illustrate aspects of the use of computer-held data based on projects from several countries. Workshop participants will be invited to share their experiences.
Results: Discussions will be based on: The ‘Information Management Initiative’ (Australia): Divisions of general practice, which are government-funded local support organisations, have assisted family doctors to: use clinical data extraction programs; analyse this data; and develop quality improvement strategies based on it. Quality data capture and feedback project (Denmark): Data capture software compatible with the 12 existing EHR systems in use in Danish general practices. Structured data are automatically sent to a national database called the Database for General Practice which can be compared with other datasets, e.g. from hospitals. Kabisa (Belgium): Good, systematic record keeping with the use of thesauruses such as ICPC, ICD or UMLS can lead to sophisticated, online and instant clinical decision support (CDS). KABISA was designed for teaching purposes but can also be used for CDS. The coded dataset project (Finland): Standardization of coding in medical records was initiated by the government in 2002. The ‘EBMeDS’ decision support service has shown the benefit of coding for improving care and has increased the motivation for coding. The Fire (Family Medicine IPC Research) project (Switzerland): Routinely stored data is exported in five categories: administrative data (birth year, sex, consultation date), ICPC-2 code, vital signs, laboratory results and medication. Analysis of these tables can be extremely rapid.
Conclusions: Workshop participants will gain an understanding of the issues involved in data management in family medicine, and will have considered strategies on how to use data to improve quality of care.
Literature: 
WS 43
EQuiP. Computers and data management: a workshop on how to improve quality in family medicine