PubMed HealthSearch

Biomedical subjects

G Boran

Publications and source records attributed to G Boran.

8 recordsLinked to original sources

A new clinical laboratory information system architecture from the OpenLabs project offering advanced services for laboratory staff and users.

The OpenLabs project aims to improve the efficiency and effectiveness of clinical laboratory services by integrating decision support systems with laboratory information systems and equipment. Standards for electronic data interchange between laboratories and other medical systems using the EUCLIDES/OpenLabs coding scheme and an open architecture for clinical laboratory information systems have been specified. This article gives an account of the proposed architecture and outlines new software applications being developed using the architecture which provide advanced services for ordering and reporting of laboratory tests, advanced instrument workstation and laboratory management services, including an OpenLabs Service Manager application which co-ordinates the available services.

Chemistry, Clinical

Patient result validation services.

Patient result validation is a vital final stage of laboratory quality assurance and is usually the responsibility of senior laboratory staff. Computerised validation systems have recently been introduced to autovalidate data meeting certain pre-defined criteria, thereby allowing senior staff to focus on problematic cases. This article describes the patient results validation service module developed for an advanced instrument workstation in the OpenLabs project. Using knowledge-based techniques, the module provides a range of locally configurable advanced validation procedures (e.g., internal consistency checks, delta checks, and checks for selected specific errors) in addition to the standard reference range and pathological limits checks offered by many laboratory information systems.

Artificial Intelligence

The OpenLabs project. A suggested approach for more effective use of information technology in clinical laboratories.

The OpenLabs project is a major European initiative in laboratory medicine with a global audience in mind. OpenLabs aims to improve the efficiency and effectiveness of clinical laboratory services by integrating knowledge-based systems (using OpenLabs modules) with laboratory information systems and equipment. Standards for electronic data interchange between laboratories and other medical systems using the OpenLabs coding system and an open architecture for clinical laboratory information systems are being specified.

Artificial Intelligence

OpenLabs: the application of advanced informatics and telematics for optimization of clinical laboratory services.

OpenLabs has four major objectives: to improve the efficiency and effectiveness of clinical laboratory services by the integration of Knowledge Based Systems (KBSs) with Laboratory Information Systems (LISs) and equipment; to provide and implement standard solutions for Electronic Data Interchange (EDI) between laboratories and other medical systems; to specify a fully Open architecture for an integrated Clinical LIS and demonstrate the integration of various KBS modules on the open architecture platform; and to demonstrate the integration of OpenLabs modules with existing LISs.

Clinical Laboratory Information Systems

Interpretative reporting and alarming based on laboratory data.

The utilisation of laboratory services for patient diagnosis and management involves many steps with both clinical and laboratory components. The clinical components include the decision to order a test, interpretation of the test results and actions taken on the basis of the results. The laboratory components on the other hand include receipt of the request, specimen collection, preparation and analysis, result entry, test result validation and verification and reporting of the results. In this paper, which is part of the OpenLabs project, we concentrate on the post-analytical applications which include interpretation and reporting of the laboratory results to the users in primary care and in high dependency care units. The final objective of the work described is to develop generic modules which can be integrated both with an Open laboratory information system architecture and existing laboratory information processing environment.

Acid-Base Imbalance

Knowledge based lipid management system for general practitioners.

The aim of this system is to provide computer generated interpretative reports with management advice for General Practitioners (GPs). The lipid domain was chosen because of its importance in preventive medicine. Request forms to elicit extra clinical information were designed and distributed to a group of randomly selected GPs. Interpretation of laboratory and clinical data categorizes patients according to risk of coronary heart disease. The management system is rule based and provides advice on lifestyle modifications, diet and drug intervention. Previous clinical and laboratory results are taken into account in determining a management strategy. To date 435 request forms have been processed: 309 (71%) from first visits and 126 (29%) from follow-up visits. Normal lipid profiles were found in 19% of cases. There was 93% agreement between management advice given by the system and the expert. The system has now been modified and further evaluation is under way.

Artificial Intelligence