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Diabet Med ; 19 Suppl 4: 6-12, 2002 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-12121331

RESUMO

Diabetes information systems have already evolved rapidly in recent years along a developmental pathway initiated by the St Vincent Declaration, fuelled by the rapid pace of IT development in the 1990s and now endorsed by the emerging NHS information strategy. They will be central to the delivery of 'patient-centred' care and essential to supporting and monitoring the diabetes national service framework implementation. Widespread experience has identified three key principles. Firstly the need for a core data set that supports both service delivery and quality development. Secondly, because of the multiprofessional, multisector nature of diabetes care, there is a need to reconcile information from many diverse sources into unitary diabetes care records. Thirdly the crucial importance of making data collection a by-product of every day care delivery (i.e. no duplicate data entry). The work of many local innovators, allied to the increasing experience of the Diabetes UK sponsored UKDIABS project has generated substantial expertise. With the aid of new extraction/analysis tools such as QUIDS and a consistent approach to assessment, this work has hopefully laid secure foundations for monitoring the implementation of the national service framework. Furthermore, parallel developments under the aegis of the National electronic Library for Health (NeLH) should enable those involved with diabetes care to access relevant knowledge and information with ease. Increasingly user friendly ways by which patients can interact with their electronic records and linked knowledge sources will create many new opportunities. Diabetes information systems are likely to be at the forefront of diabetes care delivery in the future, providing patients and professionals with timely and accurate data for the organization and delivery of care.


Assuntos
Diabetes Mellitus , Sistemas de Informação , Sistema de Registros , Coleta de Dados , Sistemas de Apoio a Decisões Clínicas , Diabetes Mellitus/terapia , Humanos , Internet , Vigilância da População
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