Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Operating Room Information Systems”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 307 records · Page 17Linked to original sources
PubMed1993

Accuracy of a computer-based anaesthetic audit system.

The accuracy of an anaesthetic computer-based audit system was assessed. In a retrospective survey of operations performed 4 months previously only 50% of the patients' notes could be found, and 40% of these notes did not contain an anaesthetic chart. A prospective survey was also performed. The accuracy with which the computer output reflected the anaesthetic technique was found to be 52% in the retrospective survey and 33% in the prospective survey. The authors conclude that audit systems should be audited before their generated data are used for decision-making.

Anesthesia↗
PubMed2001

Intraoperative visualization of surgical planning data using video projectors.

The Institute for Process Control and Robotics has developed a new system using projector based augmented reality for the intraoperative visualization of preoperatively defined surgical planning data. Projector based augmented reality in medical applications represents a new field of research and gives an alternative solution to the commonly used Head Mounted Display technology. Moreover, the projector is not only used for visualization, but also for registration of the patient without the usage of invasive fiducial techniques as e.g. screw markers or frames. Recent results showed an achieved accuracy of +/- 1.5 mm which roughly meets clinical demands.

Data Display↗
PubMed2006

Failure to recognize loss of incoming data in an anesthesia record-keeping system may have increased medical liability.

Automated anesthesia record-keeping systems (AARKs) are increasingly being used. There is a perception that AARKs may limit medical liability. We report a case in which our AARK may have increased our medical liability exposure. Nine months after a patient suffered a serious intraoperative complication, the anesthesiologist was named (as one of several defendants) in a claim alleging failure to properly monitor anesthetic care. One reason why the anesthesiologist was named related to a gap of 93 min in which no vital signs were documented in the anesthesia record. Relying on the physiological monitors to assess the patient's condition, the anesthesiologist did not recognize the interruption of data transmission, because the "active" medication window obscured the graphical display of the vital sign window.

Anesthesiology↗
PubMed1995

Using a computerized scheduling system to predict procedure lengths.

To determine the effectiveness of our computerized OR scheduling system and database, we compared scheduled surgical procedure lengths to actual procedure lengths for a large, multispecialty sample (1,103 procedures in 14 surgical subspecialties). We were able to accurately predict procedure lengths, within 15 minutes, 65% of the time. The estimated procedure lengths were more accurate in some surgical subspecialties than others, and four specific factors accounted for a large percentage (ie, 84%) of all delayed start times.

Alabama↗
PubMed2000

Coding plastic surgery operations: an audit of performance using OPCS-4.

Accurate coding is essential for local and national data reporting and for contracting. It is also integral to clinical governance. This study aimed to assess the accuracy of coding in Morriston Hospital plastic surgery theatres and coding office, to reaudit and address poor practice. A third coding system, a computerised logbook developed by the senior author, was not analysed in this study. Fifty operations coded using OPCS-4 were compared with a gold standard for overall accuracy, primary and procedural codes. Results were discussed with all relevant staff and reaudit took place 3 months later. The data were analysed using the paired Student's t -test for intergroup comparisons and the unpaired test for intragroup assessment. At initial audit, the coding office was significantly better than theatre staff in overall accuracy (78% vs 43% respectively P<< 0.01) and in procedural codes (98% vs 42%, P<< 0.01) but there was no difference in primary codes (62% vs 74%). At reaudit the only significant improvement was in overall accuracy of coding office records, although the clinical coders were now significantly better at recording primary codes than theatre staff (76% vs 56%, P< 0.05). The conclusions were that the quality of coding in theatre was poor and should stop. Clinical coders performed better but 1/3-1/4 of essential codes were inaccurate. This may have been due to limited understanding of terminology and techniques, difficulty reading operation notes and complexity of OPCS-4. Recommendations included closer cooperation between surgeons and coders to support and improve clinical coding performance.

Forms and Records Control↗
PubMedDate not supplied

Integrated monitoring can detect critical events and improve alarm accuracy.

A computer-based, integrated monitor system was designed and utilized to collect and interactively manage physiologic data (13 variables and 3 waveforms) from six routinely used operating room monitors. Various approaches were developed to reduce false alarms, classify waveforms, and recognize events. False alarms: false alarms in ECG heart rate detection were reduced from 37.3% to 2.6% (p=0.005) of total alarms using multi-variable analysis and rate-of-change limits. Waveform classification: using artificial neural networks (AN), CO2 waveforms were classified into (a) spontaneous, (b) mechanical, and (c) mechanical/with spontaneous breathing attempts. The system properly classified 47 of 71 spontaneous, 65 of 67 mechanical, and 37 of 44 mechanical breaths/with spontaneous breathing attempts. Another ANN was used for detection of elevated and depressed ST segments in the ECG signal. All ST segment elevations and depressions of 0.1 mV were correctly identified. Event recognition: an algorithm developed to identify endotracheal intubation correctly recognized 13 of 17 intubations. This resulted in a 42% reduction in low end-tidal-CO2 false alarms.

Anesthesiology↗
PubMed2003

Potential benefits of Anaesthesia Information Management Systems for multicentre data evaluation: risk calculation of inotropic support in patients undergoing cardiac surgery.

OBJECTIVE: The aim of this study was to test the hypothesis whether it is easily possible to transfer and apply the methods of data extraction and analysis of a performed study to a data pool of a different medical centre using the same type of Anaesthesia Information Management System (AIMS). For this purpose the objective of a study in cardiac anaesthesia, investigated at the University Hospital Giessen, was applied to the data pool of the Heart Centre Siegburg. RESEARCH DESIGN AND METHODS: The Giessen study evaluated factors related to the use of positive inotropic drugs (PIDs) in adults undergoing elective cardiac surgery with cardiopulmonary bypass (CPB). The same objective and methods were applied to data of 1672 patients of the Heart Centre Siegburg. In both centres anaesthetic procedures were recorded with the AIMS NarkoData. Existing database queries were adapted according to the Siegburg database configuration for detection of patients having received PIDs during or after weaning from CPB. RESULTS: It was revealed that data from the Siegburg database using the same data model and configuration, were identical to the Giessen database except for a few items only. Thus database queries of the Giessen study could be applied to the new data pool requiring no considerable additional input. CONCLUSIONS: We could demonstrate that multicentre data analysis in anaesthesia using AIM systems can be carried out successfully. Once the methods of data extraction and analysis are established they can be transferred to data pools of different centres without requiring additional time, personnel and material resources.

Aged↗
PubMed1998

Computer aided monitor-data processing (CAMP). A landmark for unbiased gauging of anaesthetic courses?

UNLABELLED: A computer aided monitor-data processing system (CAMP-System) was developed in order to get a consistent and comprehensive database which can very precisely reflect intra-operative haemodynamic courses. The goal of the present study was to introduce a new method to scan and to gauge haemodynamic courses and to demonstrate its superiority over the traditional way of data processing based on a handwritten anaesthesia protocol. METHODS: The computerized system was applied to a study which was designed to investigate the influence of ketanserin (K) vs. urapidil (U) on haemodynamic stability during cardiac operations. Twenty male patients scheduled for myocardial revascularization received either 20 mg K or 30 mg U. Heart rate, central venous, arterial and pulmonary artery pressures were measured and on-line recorded every 20 seconds by the computer record system. In the handwritten protocol these variables were registered at eight pre-defined time points. Computerized data processing (including artifact depletion and data condensation) was compared to the results evaluated from the handwritten protocol. RESULTS: While the only significant differences in the handwritten protocol were slightly higher values of pulmonary artery pressures in group K, the computer analysis revealed a number of further differences. Higher maximum and a less stable time course of HR in group K in the pre-bypass phase and lower mean and standard deviation of MAP during cardiopulmonary bypass. CONCLUSION: Computerized data processing including automatic artifact suppression and data condensation was able to reveal differences in the course of haemodynamic variables that cannot be detected in a conventional handwritten protocol.

Adrenergic alpha-Antagonists↗
PubMed1995

[Computer-assisted production and evaluation of surgical reports with FileMaker Pro 2.0].

A software application based on FileMaker Pro 2.0 from Claris is presented. Three files have been created: the first file "Operationen" contains all data required to write operation reports. By entering the ICD-9 code (VESKA code), the application imports and shows the text of the operation title according to the ICD-9 code from the second file "VESKA-TH". This makes data entering and control easy and convenient. By changing layouts, different preformatted reports are ready to be printed. The third file "OP Auswertung" creates different reports and summaries, sorted by ICD-9 code or other criteria, such as surgeon, institution or type of anaesthesia. Our experience with 3970 operation reports showed that this application is easy to learn, has a good compliance and saves a lot of time writing or analysing operation reports. It can be used with Macintosh or Windows.

Data Collection↗
PubMed2001

Safety in computer assisted surgery.

Today, surgeons accept computer assisted technologies as important tools to enhance the treatment of a patient. The positive impact and acceptance of computer assisted technologies could be increased to a great extent, if all methods and devices used for diagnosis and treatment of a patient are better co-ordinated and more finely tuned. Often computer assisted treatments cannot be performed due to a lack of communication between hospital departments, useless patient data, deficient interfaces, etc. Risks for the patient and potential errors within the treatment are often unrecognised, as up to now the safety of computer integrated surgery is only product-, device and security oriented. We have developed a new approach for a safety architecture, which includes safety aspects considering patients, users, interdependencies and interactions of computer assisted methods and apparatuses.

Computer Systems↗
PubMed2003

Rapid prototyping strategy for a surgical data warehouse.

OBJECTIVES: Healthcare processes typically generate an enormous volume of patient information. This information largely represents unexploited knowledge, since current hospital operational systems (e.g., HIS, RIS) are not suitable for knowledge exploitation. Data warehousing provides an attractive method for solving these problems, but the process is very complicated. This study presents a novel strategy for effectively implementing a healthcare data warehouse. METHODS: This study adopted the rapid prototyping (RP) method, which involves intensive interactions. System developers and users were closely linked throughout the life cycle of the system development. The presence of iterative RP loops meant that the system requirements were increasingly integrated and problems were gradually solved, such that the prototype system evolved into the final operational system. RESULTS: The results were analyzed by monitoring the series of iterative RP loops. First a definite workflow for ensuring data completeness was established, taking a patient-oriented viewpoint when collecting the data. Subsequently the system architecture was determined for data retrieval, storage, and manipulation. This architecture also clarifies the relationships among the novel system and legacy systems. Finally, a graphic user interface for data presentation was implemented. CONCLUSIONS: Our results clearly demonstrate the potential for adopting an RP strategy in the successful establishment of a healthcare data warehouse. The strategy can be modified and expanded to provide new services or support new application domains. The design patterns and modular architecture used in the framework will be useful in solving problems in different healthcare domains.

Colorectal Surgery↗