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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.

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At least 109 records · Page 6Linked to original sources
PubMed1995

Can we predict when an operating list will finish?

Mean anaesthetic, surgical and turnover times were used to predict finishing times for elective general surgical operating lists. A predicted early finish was correct in 70 per cent, a predicted on-time finish in 19 per cent, and a predicted late finish in 56 per cent. Overall, predictions of an early or late finish had a low sensitivity (62 per cent and 65 per cent) and high false positive rate (30 per cent and 44 per cent). Over-runs, caused by too many cases, and early finishes, owing to insufficient cases were reliably predicted. It is suggested that mean procedure times can be used to identify under or over utilisation caused by under or over-booking but indiscriminate use will not improve list utilisation.

Elective Surgical Procedures↗
PubMed1995

The operating rooms: cost center management in a managed care environment.

The changing health care climate has triggered important changes in the management of high-cost components of acute care facilities. By integrating and better managing various elements of the surgical process, health care institutions are able to rationally trim costs while maintaining high-quality services. The leadership that physicians can provide is crucial to the success of this undertaking.

Anesthesia Department, Hospital↗
PubMed1997

Computers in the operating room: the staff nurse perspective.

Computers and information management are long-standing tools for the Perioperative Manager. As paperless nursing documentation makes its way into the operating room, the staff nurse must become adept at the use of the computer. How to get the staff nurse comfortable with this new role, and concerns the staff nurse may voice are the subject of this article.

Attitude to Computers↗
PubMed1997

Technology: evolution or revolution--changing times.

Technology is changing the way work in a department is processed, often leading to greater efficiency and cost savings over time. How nurses engage in the process of business reengineering may help to determine the agency's competitive edge. This article discusses the process and the use of computer technology in the perioperative area.

Diffusion of Innovation↗
PubMed2001

Computerized O.R. scheduling: is it an accurate predictor of surgical time?

The goal of this project was to determine whether a standardized surgical time, generated by the Operating Room Information System (ORIS), could be used as an accurate predictor of actual surgical time. Utilizing retrospective, quantitative data from the ORIS database, frequency distributions by surgical speciality, were completed. Chi-square analysis was applied to determine the significance of the frequency distributions. The study outcome indicates that ORIS computer generated procedure times were not an accurate predictor of actual surgical time. Further follow-up will be required to determine if alternate scheduling methodologies would lead to higher accuracy rates.

Alberta↗
PubMed1999

Establishment of a pediatric surgery center: increasing anesthetic efficiency.

STUDY OBJECTIVE: To examine whether the establishment of dedicated pediatric operating rooms (ORs) staffed exclusively by pediatric anesthesiologists has had a significant impact on anesthetic efficiency during surgery. STUDY DESIGN: Before and after design. SETTING: General and pediatric operating rooms at Yale-New Haven Hospital. MEASUREMENTS AND MAIN RESULTS: Using Operating Room Information System data (1991 to 1997), we examined whether the anesthesia-controlled time, the time it takes for induction and emergence of anesthesia of a selected surgical procedure (tonsillectomy and adenoidectomy), was affected by the change of practice from general to pediatric ORs. The average length of anesthesia induction decreased by 30% (p = 0.0007). Similarly, the average length of emergence from anesthesia decreased by 42% (p = 0.01) and anesthesia-controlled time decreased by 31% (p = 0.0008). Of particular importance is the decrease by 75% in the anesthesia-controlled time range (maximum-minimum). CONCLUSIONS: The establishment of dedicated pediatric ORs resulted in significantly shorter anesthesia induction and emergence times. Furthermore, the decreased variability of anesthesia-controlled time may allow for better scheduling of surgical cases and for better surgeon and patient satisfaction.

Adenoidectomy↗