Search PubMed⌕ Search

Biomedical subjects

A Junger

Publications and source records attributed to A Junger.

At least 19 recordsLinked to original sources
PubMed2002

[Registration of material consumption in anesthesia using a data management system].

BACKGROUND: The aim of this study was to investigate whether an Anesthesia Information Management System (AIMS) can provide reliable data on the consumption of single-use anesthetic material without necessitating an expensive and time-consuming inventory. To this end, the number of selected anesthesia-related materials and the total costs in orthopedic theatres for which the department of anesthesia had been charged in the year 2000 were compared to the data calculated by the AIMS. METHODS: Anesthesia-related material is provided by a computer-based system of storage facilities (KLIMA II) in the Department of Anesthesiology and Intensive Care Medicine at the University Hospital Giessen. All costs arising in orthopedic theatres are exclusively charged to one single account. At the same time, the online-documentation software, NarkoData (IMESO GmbH, Hüttenberg, Germany), collects all data on consumption of anesthetic single-use material. The total amount of peripheral (PVC) and central-venous catheters (CVC), urinary catheters (UC) and endotracheal tubes (ET) used in the year 2000 was ascertained by the AIMS and compared to the respective data accounted by the administration. RESULTS: In the year 2000, the number of patients treated in orthopedic theatres totaled 1,865. By means of the AIMS, a consumption of 783 CVCs, 644 UCs and 949 ETs could be documented. In contrast, hospital administration had billed 880 CVCs, 700 UCs, and 1,050 ETs: discrepancies of 11.0 % for CVCs, 8.0 % for UCs and 9.6 % for ETs. Concerning the two most frequently used CVCs, the AIMS failed to document costs of 3,238 DM. For PVCs (16 gauge and 14 gauge), the official cost was 10.8 % and 46.7 % higher compared to the number documented by the AIMS. Since the number of PVCs totaled 3,400, the AIMS failed to document costs of 1,900 DM. CONCLUSION: Comparison of both methods revealed substantial deficits in documenting cost-relevant materials. There were no detailed data available on the whereabouts of the materials used, i.e. whether tubes and catheters were undocumented, used or discarded. However, the AIMS may provide additional valuable information about possible sources of material wastefulness. This is especially true for infrequently used anesthesia-related materials.

Anesthesiology↗
PubMed2001

Evaluation of the suitability of a patient data management system for ICUs on a general ward.

The development of the ICUData patient data management system (PDMS) for intensive care units (ICU), by IMESO GmbH, Hüttenberg, Germany, was based on the assumption that processes and therapies at ICU are the most complex with the highest data density compared with those in other wards. Based on experience with the system and on a survey conducted among users at our pain clinic, we evaluated whether the concept of the present software architecture, which sufficiently reproduces processes and data at an ICU, is suitable as a PDMS for general wards. The highly modular and client-centric approach of the PDMS is founded on a message-based communications architecture (HL7). In the beginning of the year 2000, the system was implemented at the pain management clinic (12 beds) of our hospital. To assess its user friendliness, we conducted a survey of medical staff (n=14). From April 1st 2000 to August 31st 2000, all clinical and administrative data of 658 patients at the pain management clinic were recorded with the PDMS. From the start, all users had access to data and information of other connected data management systems of the hospital (e.g. patient administrative data, patient clinical data). Staff members found the system mostly useful, clearly presented, practical, and easy to learn and use. Users were relatively satisfied with stability and performance of the program but mentioned having only limited knowledge of the program's features. The need for external support during a computer crash was rated negatively. Despite the need for further usage training and improved program performance, the software architecture described seems to be a promising starting point for the construction of a PDMS for general wards.

Attitude of Health Personnel↗
PubMed2001

Factors determining length of stay of surgical day-case patients.

BACKGROUND AND OBJECTIVE: Factors which lead to prolonged stay in the day-care unit and unplanned admission after day-case surgery are poorly understood. METHODS: Data sets of 3152 day-case patients were collected with a computerized online record keeping system (NarkoData). Predictors of prolonged postoperative stay including unanticipated admission were identified using univariate analysis. Charts of patients, who needed admission, were reviewed. RESULTS: 13.2% of day-case patients had a postoperative stay < or = 3 h, 55.3% 3-6 h and 26.2% > or = 6 h. The rate of unanticipated admission was 5.4%. Intraoperative haemoglobin concentration and blood loss were the best predictors of a prolonged postoperative stay. Other significant predictors were female gender, advanced age, longer duration of surgery, larger volume of infusions, intubation, spinal anaesthesia, intraoperative use of opioids and non-depolarizing muscle relaxants, high pain score, nausea and vomiting and prolonged preoperative waiting time. Chart review of patients admitted to hospital confirmed the validity of the statistically significant predictors. CONCLUSIONS: In day-case surgery, the predictors of prolonged stay in the day-care unit and unplanned Hospital admission are mainly related to the surgical procedure.

Ambulatory Surgical Procedures↗
PubMed2001

The use of an anesthesia information management system for prediction of antiemetic rescue treatment at the postanesthesia care unit.

UNLABELLED: We used an anesthesia information management system (AIMS) to devise a score for predicting antiemetic rescue treatment as an indicator for postoperative nausea and vomiting (PONV) in the postanesthesia care unit (PACU). Furthermore, we wanted to investigate whether data collected with an AIMS are suitable for comparable clinical investigations. Over a 3-yr period (January 1, 1997, to December 31, 1999), data sets of 27,626 patients who were admitted postoperatively to the PACU were recorded online by using the automated anesthesia record keeping system NarkoData(R) (IMESO GmbH, Hüttenberg, Germany). Ten patient-related, 5 operative, 15 anesthesia-related, and 4 postoperative variables were studied by using forward stepwise logistic regression. Not only can the probability of having PONV in the PACU be estimated from the 3 previously described patient-related (female gender, odds ratio [OR] = 2.45; smoker, OR = 0.53; and age, OR = 0.995) and one operative variables (duration of surgery, OR = 1.005), but 3 anesthesia-related variables (intraoperative use of opioids, OR = 4.18; use of N(2)O, OR = 2.24; and IV anesthesia with propofol, OR = 0.40) are predictive. In implementing an equation for risk calculation into the AIMS, the individual risk of PONV can be calculated automatically. IMPLICATIONS: The aim of this study was to investigate predictors for postoperative nausea and vomiting by using online anesthesia records. With the help of computerized data evaluation, 7 of 34 variables could be detected as risk factors. By implementing an automatic score into the record keeping system, an individual risk calculation could be made possible.

Adult↗
PubMed2001

Influence of the method of data collection on the documentation of blood-pressure readings with an Anesthesia Information Management System (AIMS).

The influence of methods for record keeping on the documentation of vital signs was assessed for the Anesthesia Information Management System (AIMS) NarkoData. We compared manually entered blood-pressure readings with automatically collected data. These data were stored in a data-base and subsequently evaluated and analyzed. The data sets were split into two groups, "manual" and "automatic". We evaluated the effect of automatic data collection on the incidence of corrected data, data validity and data variation. Blood-pressure readings of 37,726 data sets were analyzed. We could assess that the method of documentation did influence the data quality. It could not be assessed whether the incorrectness of data during automatic data gathering was caused by artefacts or by the anesthesiologist.

Anesthesiology↗
PubMed2000

[Influences and predictors of unanticipated admission after ambulatory surgery].

UNLABELLED: In order to plan the daily routine of a surgical day care unit optimally and effectively, it is indispensable to know the causes of unanticipated admission of outpatients. The purpose of this experiment was to evaluate the influences and predictors of unanticipated admission of patients in our day care unit for ambulatory surgery. The data sets of 3152 surgical outpatients were evaluated. The duration of stay had been entered online by computers. METHOD: From January 1997 until June 1999, all clinically relevant parameters from any outpatient were entered into an anesthesia information management system (NarkoData, Imeso GmbH, Hüttenberg-Rechtenbach, Germany). The correlation of potential nominal and ordinal scaled predictors of unanticipated admission was tested using the chi-squared test. Univariate analysis was used in determining predictors for the occurrence of unanticipated admission. Pearson's contingency coefficient (CC) was used as a standard for the correlation rigidity in nominal and ordinal scaled parameters. The correlation standard eta was used for metrical parameters. RESULTS: Unanticipated admission occurred in 169 (5.4%) of the 3152 outpatients. The following parameters significantly influenced unanticipated admission: age, ASA status, diagnosis (ICD-9), time of admission, different anesthesia procedures and anesthetics (opioids and non-depolarizing muscle relaxants), surgical department, type of surgery (ICPM), duration of operation, blood loss, intraoperative hemoglobin values, and the administration of colloid and crystalloid solutions. The parameters blood loss, intraoperative hemoglobin values, and administration of colloid solutions were evaluated as being good predictors. CONCLUSION: The causes of unanticipated admission of patients in our day care unit for ambulatory surgery are manifold. Some relate to the patient, the anesthesia, and the organization of the day care unit, whereas lengthy operative trauma leading to intraoperative blood loss also plays a major role.

Adult↗
PubMed2000

[Using an anesthesia information management system (AIMS) for documentation in a day care unit for ambulatory surgery].

UNLABELLED: From January 1997 until June 1999, the complete durations of stay of 3152 outpatients were entered into a computerized documentation system. The scope of the data entry went from patient admission to patient release. The objective was to determine the usefulness of the anaesthesia information management system (AIMS) in producing complete and high-quality documentation in the field of outpatient operations. Some aspects and results from routine work are presented here. METHOD: The system was installed in eight bedside computers, in addition to a further client connected to the existing AIMS via Ethernet. Patient medical courses were documented both preoperatively and postoperatively in outpatient bedsides until their discharge or admission. The online documentation software NarkoData (Version 4, Imeso GmbH, Hüttenberg, Germany) was used to document and store patient data in a database. This program contains all relevant information concerning the course of anaesthesia and outpatient duration of stay, including application of drugs, vital signs, observation times, and medical findings as well as the data sets of the German Society of Anaesthesiology and Intensive Care Medicine (DGAI), ICD, and ICPM. Data was analyzed by exporting from the database into a statistical program using "structured query language." RESULTS: Data sets of 3152 outpatients were entered into the online documentation software. Most (54.2%) of the ambulatory surgical procedures were performed by the Department of Traumatology. General Surgery followed with 16.0%, and Urology managed 9.5% of the cases. The most frequent ambulatory surgical procedures were: diagnostic arthroscopy (923, 31.2%), removal of osteosynthetic material (410, 13.8%), and circumcision (250, 8.4%). Anesthesia procedures consisted of inhalative (38.6%, n = 1218) and intravenous anesthesia (IVA) (29.9%, n = 938). In 22.6% (713) of the cases, regional anaesthesia was performed. The average postoperative observation time was 289.2 +/- 140.1 minutes. One hundred sixty-nine patients (5.4%) were unexpectedly admitted to overnight care. The decision to admit patients to normal wards took place within the first 3 postoperative hours in 51.9% of the cases. CONCLUSION: The AIMS described above is sufficient in documenting the entire care process of patients in a day care unit. Integration into the existing AIMS was an important prerequisite for the integrity of the documentation chain. This allowed for a sensitive communication with other clinical data processing systems. The quality of documentation and flow of information at the workplaces in the day care unit were increased, similarly to other anaesthesiological workplaces in the hospital. Medical and administrative data and information for analyses of clinical processes are possible with such tools.

Adult↗
PubMed2000

Clinical and practical requirements of online software for anesthesia documentation an experience report.

The aim of this paper is the presentation of a new version of the anesthesia documentation software, NarkoData, that has been used in routine clinical work in our department as part of an anesthesia information management system (AIMS) since 1995. The performance of this software is presented along with requirements for future development of such a system. The originally used version, NarkoData 3.0, is an online anesthesia documentation software established by the software company ProLogic GmbH. It was primarily developed as a disk-based system for the MacOS operating system (Apple Computer Inc.). Based on our routine experience with the system, a catalogue of requirements was developed that concentrated on improvement in the sequence of work, administration and data management. In 1996, the concepts developed in our department, in close co-operation with medical personnel and the software company, led to a considerable enlargement of the program functions and the subsequent release of a new version of NarkoData. Since 1997, more than 20 000 anesthesia procedures have been recorded annually with this new version at 115 decentralized work stations at our university hospital.

Anesthesiology↗
PubMed2000

[Recovery of balanced anesthesia with various inhalation anesthetics in comparison to intravenous anesthetics: a retrospective analysis of 20,060 patients].

BACKGROUND: The aim of this investigation was to compare routine balanced anaesthesia with different inhalation agents to intravenous anaesthesia (IVA) using an Anaesthesia-Information-Management-System (AIMS) with regard to time of recovery from anaesthesia, the time of discharge from the postanaesthesia care unit (PACU) and postoperative nausea as well as postoperative therapy with analgesics. METHODS: In 1997 and 1998 all relevant data of each anaesthesia procedure have been recorded using the online documentation Software NarkoData. These data sets have been stored into a relational database during each anaesthesia procedure. For evaluation the information has been exported from the database to a statistics program via 'Structured Query Langvage' (SOL). Balanced anaesthesia has been performed using isoflurane, halothane, and sevoflurane, respectively, supplemented with or without nitrous Oxide (N2O). The intravenous based anaesthesia-groups included propofol-fentanyl or propofol-remifentanil. RESULTS: The fastest recovery was seen in patients of the isoflurane group (11.2 +/- 7.7 minutes), and the longest time for extubation was observed in patients wich halothane anaesthesia (12.8 +/- 9.3 minutes); the overall mean difference was 1.7 minutes. The earliest patient admitted to the PACU had received sevoflurane (7.0 +/- 6.3 minutes) and propofol-remifentanil (7.0 +/- 7.4 minutes) whereas patients of the halothane group (9.5 +/- 7.5 minutes) took more. The shortest stay in PACU was seen in patients of the sevoflurane and isoflurane groups (105.13 +/- 35.7 and 108.4 +/- 60.5 minutes), whereas propofol-remifentanil (126.2 +/- 89.1 minutes) and halothan (120.0 +/- 86.1 minutes) anaesthetised patients had the longest stay in PACU. No difference was noted in the incidence of postoperative nausea and vomiting nor in the amount of postoperatively given analgesics. CONCLUSION: Results achieved in routine correspond only in part to results from studies. In our investigation balanced anaesthesia with isoflurane and sevoflurane correspond with the shortest stay in PACU compared to balanced anaesthesia with halothane and IVAs with propofol-fentanyl or propofol-remifentanil. One reason for this could be the intraoperatively administered opioide piritramide in IVAs. Furthermore we conclude that an AIMS may provide additional information about overall costs-effectiveness. However this information depends largely on local factors, e.g. patient case mix, staffing, policy of discharge from the PACU etc.

Adolescent↗
PubMed2000

[From data entry to data presentation at a clinical workstation--experiences with Anesthesia Information Management Systems (AIMS)].

Anesthesia Information Management Systems (AIMS) are required to supply large amounts of data for various purposes such as performance recording, quality assurance, training, operating room management and research. It was our objective to establish an AIMS that enables every member of the department to independently access queries at his/her work station and at the same time allows the presentation of data in a suitable manner in order to increase the transfer of different information to the clinical workstation. Apple Macintosh Clients (Apple Computer, Inc. Cupertino, California) and the file- and database servers were installed into the already partially existing hospital network. The most important components installed on each computer are the anesthesia documenting software NarkoData (ProLogic GmbH, Erkrath), HIS client software and a HTML browser. More than 250 queries for easy evaluation were formulated with the software Voyant (Brossco Systems, Espoo, Finland). Together with the documentation they are the evaluation module of the AIMS. Today, more than 20,000 anesthesia procedures are recorded each year at 112 decentralised workstations with the AIMS. In 1998, 90.8% of the 20,383 performed anesthetic procedures were recorded online and 9.2% entered postopeatively into the system. With a corresponding user access it is possible to receive all available patient data at each single anesthesiological workstation via HIS (diagnoses, laboratory results) anytime. The available information includes previous anesthesia records, statistics and all data available from the hospitals intranet. This additional information is of great advantage in comparison to previous working conditions. The implementation of an AIMS allowed to greatly enhance the quota but also the quality of documentation and an increased flow of information at the anesthesia workstation. The circuit between data entry and the presentation and evaluation of data, statistics and results directly available at the clinical workstation was put into practice.

Anesthesia↗
PubMed2000

Design principles of a clinical information system for intensive care units (ICUData).

The aim of this project was to develop a cost-effective, standard-based and scalable clinical information system for use in Intensive Care Units (ICUs). The development started in 1998 at the University Giessen, Germany. Since its introduction as the basic documentation system at the ICU ward of the Department of Anesthesiology and Intensive Care Medicine in January 1999, all relevant clinical data of 1723 patients have been recorded. The implementation of the system in two further ICUs is scheduled for the year 2000. The following article describes some of the principal design goals of the system, including the medical vision that drove its interface design, and focuses on the technological underpinnings of the overall system architecture.

Computer Systems↗
PubMed2000

Comparison of manual and automated documentation of adverse events with an Anesthesia Information Management System (AIMS).

In this study, an Anesthesia Information Management System (AIMS) is used for the comparison of manually recorded adverse events with automatically detected events from anesthesiological procedures. In 1998, data from all anesthesia procedures, including the data set for quality assurance defined by the German Society of Anesthesiology and Intensive Care Medicine (DGAI), were recorded online with the documentation software NarkoData 4 (IMESO GmbH, Hüttenberg, Germany) followed by storage into a relational database (Oracle Corporation). The occurrence of manually recorded adverse events, as defined by the DGAI, is compared with automatically detected events. Automated detection was done with SQL-statements. The following adverse events were selected: hypotension, hypertension, bradycardia, tachycardia and hypovolemia. Data obtained from 16,019 electronic anesthesia records show that in 911 patients (5.7%), one of the selected adverse events was documented manually whereas in 2,996 patients (18.7%) a adverse event was detected automatically. The incidence of automatically detected events is obviously higher compared to manually recorded events. With the help of an AIMS, automatic detection proved significant deficiencies in the manual documentation of adverse events.

Anesthesia↗
PubMed2000

Data processing at the anesthesia workstation: from data entry to data presentation.

Main requirements for an Anesthesia Information Management System (AIMS) are the supply of additional information for the anesthesiologist at his workstation and complete documentation of the anesthetic procedure. With the implementation of an AIMS (NarkoData) and effective user support, the quality of documentation and the information flow at the anesthesia workstation could be increased. Today, more than 20,000 anesthesia procedures are annually recorded with the AIMS at 112 decentralized workstations. The network for data entry and the presentation and evaluation of data, statistics and results directly available at the clinical workstation was made operational.

Anesthesia↗
PubMed1999

[Quality documentation with an Anaesthesia Information Management System (AIMS)].

OBJECTIVE: In 1994 the Department of Anaesthesiology and Intensive Care Medicine of the Justus Liebig University of Giessen decided to implement an Anaesthesia Information Management System (AIMS) to replace the previous hand-written documentation on paper. From 1997 until the end of 1998 the data sets of 41,393 anaesthesia procedures were recorded with the help of computers and imported into a data bank. Individual aspects and results of this data pool are presented under the aspect of how the system in its present form is able to guarantee documentation of quality according to the requirements of the German Society of Anaesthesiology and Intensive Care Medicine (DGAI). METHODS: Since 1997 information on all anaesthesia procedures has been documented "online" with the anaesthesia documentation software NarkoData 4 (ProLogic GmbH, Erkrath). The data sets have been stored in a relational data bank (Oracle Corporation) and statistically processed with the help of the SQL-based program Voyant (Brossco Systems, Espoo, Finland). As an example of two adverse perioperative events (AVB) we compared incidences of "hypotension" and "nausea/vomiting", recorded by staff members into the AIMS, with the incidence of comparable events that were recorded with the help of online data during anaesthesia procedures, such as blood pressure and drug application. Since 1998 data recording has been revised constantly in department meetings; advanced training has been given. The results have been analysed critically. RESULTS: In 1997 the incidence of adverse perioperative events entered manually into the system was 3.6% (grade III and higher 0.9%) and increased during 1998 to 22.2% (grade III and higher 1.9%). The frequency of anaesthesia procedures with manually documented AVBs was significantly below the incidence (determined with the help of online data) of comparable events: "hypotension" (1.8% vs. 8.5%) and "nausea/vomiting" (4.9% vs. 8.3%). CONCLUSION: The current documentation of AVBs in almost any hospital is incomplete. In contrast to the hand-written procedure, the AIMS provides recorded data for evaluation and guarantees more detailed and complete quality documentation. In addition, the effort needed for documentation is reduced. Whether these data sets really describe and measure quality or not has to be evaluated. In addition it has to be considered whether different requirements (such as automatic AVB recognition for an AIMS) are advantageous for quality documentation regarding the data raster and the AVB recognition, with respect to different documentation procedures.

Anesthesia↗
PubMed1999

[Intraoperative blood requirements and allogeneic blood transfusion in cardioanesthesia. Data analysis of 7729 patients in 12 cardiac surgical clinics].

UNLABELLED: Allogeneic blood requirements in cardiac surgery shows a wide variation even for comparable procedures. The aim of the present study was to compare the intraoperative allogeneic blood requirement in defined cardiac operations among 12 cardiac centers in Germany. METHOD: A data set with 25 variables concerning the intraoperative course in adult cardiac patients with myocardial revascularization, valve replacement (aortic or/and mitral valve) or combined procedures was distributed to the participating centers. The data of all patients between January 1th 1998 and June 30th 1998 were included. Besides demographic data, the intraoperative transfusion of allogeneic and autologous blood, fresh frozen plasma and the concomitant hematocrit values were registered. Data were analyzed for all centers and separated for each center. RESULTS: The data of 7,729 patients were analyzed. The intraoperative allogeneic blood requirement was 0.6 +/- 1.3 units for all patients. It varied among the centers from 0.25 +/- 0.6 units to 0.97 +/- 1.6 units (P < 0.05). The percentage of patients receiving allogeneic blood was 27% and differed among the centers from 17% to 35%. Female patients were transfused in 53% (36-39%) compared to male patients with 16% (9-20%) (P < 0.05). The rate of autologous blood predonation varied from 0.5% to 23%. Patients without autologous predonation were transfused in 28% compared to 4% in patients with predonation (P < 0.05). In patients with autologous predonation the intraoperative transfusion of allogeneic blood was significantly reduced (0.1 +/- 0.39 vs 0.6 +/- 1.4 units, P < 0.05). However, some centers with a high percentage of autologous predonation also demonstrated a high rate of perioperative allogeneic transfusion. CONCLUSION: The incidence of allogeneic blood transfusion in cardiac surgery depends on the institution and not on the surgical procedure. A common threshold value of hemoglobin for the transfusion of blood trigger even for comparable procedures could not be detected among the centers. Especially in female patients, there was a wide variation in allogeneic blood transfusion. Autologous blood predonation reduces blood requirement significantly, however, it is practiced with variing intensity. The data set did not include information about transfusion regimen in the postoperative period, thus, these data do not allow to draw conclusions for the whole perioperative period.

Adult↗