Data collection and information presentation for optimal decision making by clinical managers--the Autocontrol Project.
Proc AMIA Annu Fall Symp
; : 789-93, 1997.
Article
en En
| MEDLINE
| ID: mdl-9357733
ABSTRACT
The Autocontrol methodology has been developed in order to support the optimisation of decision-making and the use of resources in the context of a clinical unit. The theoretical basis relates to quality assurance and information systems and is influenced by management and cognitive research in the health domain. The methodology uses population rather than individual decision making and because of its dynamic feedback design promises to have rapid and profound effect on practice. Most importantly the health care professional is the principle user of the Autocontrol system. In this methodology we distinguish three types of evidence necessary for practice change practice based or internal evidence, best evidence derived from the literature or external evidence concerning the practice in question, and process based evidence on how to optimise the process of practice change. The software used by the system is of the executive decision support type which facilitates interrogation of large databases. The Autocontrol system is designed to interrogate the data of the patient medical record however the latter often lacks data on concomitant resource use and this must be supplemented. This paper reviews the Autocontrol methodology and gives examples from current studies.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Contexto en salud:
1_ASSA2030
Problema de salud:
1_sistemas_informacao_saude
Asunto principal:
Toma de Decisiones Asistida por Computador
/
Sistemas de Registros Médicos Computarizados
Tipo de estudio:
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Proc AMIA Annu Fall Symp
Asunto de la revista:
INFORMATICA MEDICA
Año:
1997
Tipo del documento:
Article
País de afiliación:
Canadá