ABSTRACT
From the prospective multi-center evaluation study of the decision support system KANDID, significant variations were revealed in local epidemiology, local examination techniques, local preferred examination protocols, and local diagnostic criteria among seven European EMG laboratories. A clinical network of eight Electromyographic (EMG) centers has, due to this study, harmonized terminology and the interpretation of EMG examinations. The ESTEEM project has, based on these specifications, developed the EMG-Platform for the local data acquisition, storage, interpretation, and telecommunication between the clinical ESTEEM centers. On this basis, a medical audit and consensus process across Europe is being carried out on a daily basis. This process has shown an impact on diagnostic criteria within the clinical group. This study has illustrates informatics as a necessary prerequisite for the quality assurance of clinical EMG practice.
Subject(s)
Diagnosis, Computer-Assisted/standards , Electromyography/standards , Information Systems/standards , Neurophysiology/standards , Quality Assurance, Health Care , Remote Consultation , Computer Systems , Decision Support Techniques , European Union , Humans , Medical Audit , Observer Variation , Prospective Studies , Systems Integration , Terminology as TopicABSTRACT
ESTEEM is an AIM project which is primarily concerned with how to develop, integrate and clinically test knowledge-based systems for electromyography (EMG) in order to get them generally acceptable, useful and applicable into disseminated clinical routines. A medical workstation entitled the 'EMG-Platform' on which different kinds of application modules including KBSs can be interfaced to a kernel is being developed. Accordingly, an EMG communication protocol is being developed. The ESTEEM consortium is composed of a technical specialist group and a group of clinical experts in EMG from seven European countries. The last group has, besides extensive data collection for building up a multicentre EMG database, agreed on a common EMG terminology and a subsequent general EMG data set specification which covers the informatic needs for describing an EMG examination of different 'EMG schools'.
