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At least 325 records · Page 18Linked to original sources
PubMed1988

A liver transplant center information management system.

A comprehensive microcomputer-based data management system has been developed to facilitate candidate selection and to track clinical performance for the liver transplant program at the University of Pittsburgh. A relational database manager, dedicated statistical analysis software, and presentation graphics are all elements that have been integrated into the system.

Humans↗
PubMed2004

[Intraoperative arterial hypotension recorded by an anaesthesia information management system].

OBJECTIVES: In order to evaluate the benefits arising from regular recording of intraoperative adverse events, we extracted from our database all episodes of intraoperative hypotension and studied the risk factors of this event. STUDY DESIGN: Retrospective analysis of a large database from two university teaching hospitals evaluating the incidence and the risk factors of intraoperative hypotension by logistic regression. PATIENTS AND METHODS: A data collection chart describing the patient's characteristics, the anaesthetic technique and selected intraoperative incidents was filled for each anaesthetised patient in the operating room and then recorded in the computer database. Data collected in 2001 in patients undergoing general anaesthesia for orthopaedic and general surgery were reviewed and univariate and multivariate analysis were performed using Statview 5.0 and Stata 7.0. RESULTS: Among 11 820 patients who underwent anaesthesia, 2691 were selected. The incidence of intraoperative arterial hypotension was 16.8%. The associated factors were duration of surgery, age and ASA status of the patients. The use of etomidate for induction was not associated with a decreased risk of intraoperative hypotension. CONCLUSION: Systematic recording of intraoperative events in a database has been suggested as useful by many experts for quality-assurance and safety analysis purposes. Analysis of a frequent anaesthesia-related (i.e. hypotension) event did not disclose any relevant factor that might lead to improvement. Running such databases is time-consuming and may be expensive. This leads us to question the efficiency of such databases.

Adult↗
PubMed1998

The Diatek Arkive "Organizer" patient information management system: experience at a university hospital.

OBJECTIVE: To install and successfully use early commercial automatic anesthesia recordkeepers, the Diatek Arkive "Organizer" units, in the operating rooms at a major university medical center. METHODS: Because of the history of previous academic attempts at automatic anesthesia recordkeeping, the units were installed on a "surprise" basis, with hardly any discussion of the devices beforehand. RESULTS: The devices themselves had a number of minor difficulties at the start, most of which were promptly corrected. Eventually the units were in use in all non-cardiac general operating rooms. At one point, usage reached over 90% of possible cases. Continued opposition to the device on the part of certain individuals, coupled with the obsolescence of the present devices in light of new technology, led to the eventual abandonment of the system and removal of the devices from service. DISCUSSION: Total resistance to the new devices on the part of a few vocal faculty members was a major factor in the ultimate downfall of the system. The method of introduction, and especially the lack of involvement of faculty, residents, surgeons, operating room personnel, hospital computer personnel, and the hospital administration in the installation also played a role in the failure of the system. Lack of a workable training mechanism for new residents prevented that user group from rapidly gaining comfort with the systems.

Anesthesia Department, Hospital↗
PubMed1983

Computer-aided information management systems in clinical trials. A physician's perspective.

Clinical trials involve the administration of new or experimental treatments to patients and the subsequent observation of responses to these treatments over appropriate periods of time. During a clinical trial, large volumes of data describing the course of each patient must be gathered and analyzed. Traditionally, computers have been used only for final statistical calculations after labour-intensive data capture and tabulation. These methods are becoming increasingly expensive, and problems with traditional data management techniques in clinical research are compounded by trends including increasing numbers of patients, increasing length of follow-up period, increasing numbers of relevant treatment and response variables, and participation of geographically dispersed research groups in 'multicentre' trials. Existing computer systems to aid with data management in clinical research are reviewed and criticized, and a new system designed to solve data management problems as perceived by the clinical researcher is described.

Clinical Trials as Topic↗
PubMed1988

Laboratory Information Management Systems in practice.

To maximize the benefits of a LIMS, the system must be integrated with the analytical instrumentation in the laboratory. This provides on-line data capture or transfer of results for matching with the corresponding sample records held within the database, which reduces transcription error checking and ensures data integrity. Furthermore, the LIMS must be integrated with existing corporate systems to ensure efficient use of resources and to avoid the development of parallel systems.

Journal Article↗
PubMed2005

HalX: an open-source LIMS (Laboratory Information Management System) for small- to large-scale laboratories.

Structural genomics aims at the establishment of a universal protein-fold dictionary through systematic structure determination either by NMR or X-ray crystallography. In order to catch up with the explosive amount of protein sequence data, the structural biology laboratories are spurred to increase the speed of the structure-determination process. To achieve this goal, high-throughput robotic approaches are increasingly used in all the steps leading from cloning to data collection and even structure interpretation is becoming more and more automatic. The progress made in these areas has begun to have a significant impact on the more 'classical' structural biology laboratories, dramatically increasing the number of individual experiments. This automation creates the need for efficient data management. Here, a new piece of software, HalX, designed as an 'electronic lab book' that aims at (i) storage and (ii) easy access and use of all experimental data is presented. This should lead to much improved management and tracking of structural genomics experimental data.

Crystallography, X-Ray↗