Automating improves OR efficiency, cost effectiveness.
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Inpatient admissions, surgical scheduling, and outpatient scheduling are three of the most important patient-scheduling functions in the hospital. In this paper, the key elements of state-of-the-art scheduling systems are discussed, along with a rationale for their importance. Our purpose is to show how well-designed patient-scheduling systems can contribute to the improvement of hospital operations.
The typical outpatient surgery facility is a hard place to find anything. Staff members make hundreds of phone calls each day to determine where patients are, keep updated on surgeries, and track down specialized equipment. Each time a call is dialed, a colleague on the other end must stop what he or she is doing to answer. The phones in the new 60,000-square-foot surgical suite at Providence St. Vincent Medical Center don't get nearly as heavy a workout because the facility's automatic tracking system displays the location of each patient in real time.
The integration and presentation of information from a number of disparate sources in the operative environment raises a number of usability and human factors challenges. Through a collaborative effort, a display combining persistent and dynamically switching panes provides a rich source of information to help orient team members, provide indications of case progress, and organize information into stage-based tabbed panes. This provides maximal flexibility within visibility and usability constraints.
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STUDY OBJECTIVE: To determine whether using only previous cases' surgical times for predicting accurately surgical times of future cases is likely to reduce the average length of time cases finish late (after their scheduled finish times). DESIGN: Computer simulation. MEASUREMENTS AND MAIN RESULTS: Data from an operating room (OR) information system for two surgical suites were analyzed. For each case performed in fiscal year 1996, we searched backward for 1 year and counted the number of previous cases that were the same type of procedure performed by the same surgeon. Then, for each suite, surgical times were fitted to a statistical model estimating the effect of the type of procedure and who the surgeon was on surgical time. The estimated "variance components" were used in Monte-Carlo computer simulations to evaluate whether a hypothetical increase in the number of previous cases available to estimate the next case's surgical time would improve scheduling accuracy. Predictions of how long newly scheduled cases should take were impaired because 36.5% +/- 0.4% (mean +/- SE) of cases at a tertiary surgical suite and 28.6% +/- 0.7% of cases at an ambulatory surgery center did not have any cases in the previous year with the same procedure type and surgeon. Computer simulation was used to generate additional hypothetical cases. Using this data, even having many previous cases on which to base predictions of future surgical times would only decrease the average length of time that cases finish late by a few minutes. CONCLUSION: An OR manager considering using only historical surgical times to estimate future surgical times should first investigate, using data from their own surgical suite, what percentage of cases do not have historical data. Even if there are sufficient historical data to estimate future surgical times accurately, relying solely on historical times is probably an ineffective strategy to have future cases finish on time.
The accuracy of a computer-based recording system of operative procedures was audited at a major district general hospital. The system is supposed to provide accurate records of theatre activity, to allow for improved nursing resource allocation and provide surgeons with a basic record of their operations. Mistakes were present in the details of 27% of the cases entered. Such inaccuracies highlight a major danger to surgeons with regard to their accountability for operations attributed to them. Mistakes can only cause further problems with regard to audit and future resource allocation.
The aim of this prospective study was to evaluate the use of a modern computer-based hospital information system for the management of patients in our surgical department. The results showed that the information system was well accepted by the medical staff and found to be useful throughout daily work. In addition, they justify the effort to install and maintain such a system.
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GALEN has developed a language independent common reference model based on a medically oriented ontology and practical tools and techniques for managing healthcare terminology including natural language processing. GALEN-IN-USE is the current phase which applied the modelling and the tools to the development or the updating of coding systems for surgical procedures in different national coding centre co-operating within the European Federation of Coding Centre (EFCC) to create a multilingual knowledge repository for multicultural Europe. NCAM (Nomenclature Commune des Actes Médicaux) is the new French multipurpose coding system for surgical procedures. The labels are processed from the intermediate dissections to the Grail representation and the natural language generation by the electronically related Medical Informatics research centres network of Saint Etienne, Manchester, Geneva and Nijmegen. The national coding centre is able to retrieve the initial labels with different categories of concepts, to compare the professional language proposed by expert clinicians to the French generated controlled vocabulary and to finalize the linguistic labels of the coding system in relation with the meanings of the conceptual system structure.
Quality assurance in surgery relies on precise medical records about surgical procedures and outcomes. Data quality is crucial for statistical evaluation; missing values cannot be avoided but must be minimized. The quality assurance system must be accessible from many locations within the clinic; given the complex and heterogeneous computing infrastructure this is a technological challenge. Intranet-technology--the application of internet-tools in local networks--can help to solve the technical problems. We designed, implemented and evaluated a generic Intranet-based quality assurance system in surgery. The basic concept is multi-purpose data entry with predefined textblocks, i.e. the same data is used for clinical reports as well as scientific evaluations. Our first instance were reports on laparoscopic cholecystectomies consisting of 41 Items and 132 textelements. Because of the good clinical acceptance of the system it will be expanded to other surgical procedures.
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