PubMed Health⌕ Search

Biomedical subjects

Marie Egan

Publications and source records attributed to Marie Egan.

5 recordsLinked to original sources
PubMed2007

Pseudomonas aeruginosa chronic colonization in cystic fibrosis patients.

PURPOSE OF REVIEW: Chronic infection with Pseudomonas aeruginosa is a leading cause of morbidity and mortality in individuals with cystic fibrosis despite the aggressive use of antibiotics. P. aeruginosa employs a number of strategies that promote chronic pulmonary colonization instead of acute infection. These include biofilm formation, evasion of the host immune system, and conversion to a mucoid phenotype. This review discusses recent advances regarding P. aeruginosa pathogenesis and biofilm behavior in the setting of chronic pulmonary disease. RECENT FINDINGS: Biofilm formation in the cystic fibrosis lung likely occurs under anaerobic conditions, is controlled by bacterial quorum-sensing mechanisms, and is enhanced by environmental components in the cystic fibrosis airway. P. aeruginosa possesses regulatory pathways that recognize environmental cues to favor either acute infection or chronic colonization. P. aeruginosa that inhabit the respiratory tract accumulate mutations favoring chronic colonization. Azithromycin, a macrolide with clinical benefit in cystic fibrosis, alters P. aeruginosa biofilm formation. Promising new therapies that target biofilm formation include molecules that disrupt quorum sensing. SUMMARY: Eradication of P. aeruginosa in cystic fibrosis patients remains problematic. As more information emerges about P. aeruginosa behavior in vivo, potential therapeutics directed against biofilms and mucoid P. aeruginosa are being developed.

Anti-Bacterial Agents↗
PubMed2005

Deliberate perioperative systems design improves operating room throughput.

BACKGROUND: New operating room (OR) design focuses more on the surgical environment than on the process of care. The authors sought to improve OR throughput and reduce time per case by goal-directed design of a demonstration OR and the perioperative processes occurring within and around it. METHODS: The authors constructed a three-room suite including an OR, an induction room, and an early recovery area. Traditionally sequential activities were run in parallel, and nonsurgical activities were moved from the OR to the supporting spaces. The new workflow was supported by additional anesthesia and nursing personnel. The authors used a retrospective, case- and surgeon-matched design to compare the throughput, cost, and revenue performance of the new OR to traditional ORs. RESULTS: For surgeons performing the same case mix in both environments, the new OR processed more cases per day than traditional ORs and used less time per case. Throughput improvement came from superior nonoperative performance. Nonoperative Time was reduced from 67 min (95% confidence interval, 64-70 min) to 38 min (95% confidence interval, 35-40 min) in the new OR. All components of Nonoperative Time were meaningfully reduced. Operative Time decreased by approximately 5%. Hospital and anesthesia costs per case increased, but the increased throughput offset costs and the global net margin was unchanged. CONCLUSIONS: Deliberate OR and perioperative process redesign improved throughput. Performance improvement derived from relocating and reorganizing nonoperative activities. Better OR throughput entailed additional costs but allowed additional patients to be accommodated in the OR while generating revenue that balanced these additional costs.

Anesthesia↗
PubMed2005

Automatic detection and notification of "wrong patient-wrong location'' errors in the operating room.

When procedures and processes to assure patient location based on human performance do not work as expected, patients are brought incrementally closer to a possible "wrong patient-wrong procedure'' error. We developed a system for automated patient location monitoring and management. Real-time data from an active infrared/radio frequency identification tracking system provides patient location data that are robust and can be compared with an "expected process'' model to automatically flag wrong-location events as soon as they occur. The system also generates messages that are automatically sent to process managers via the hospital paging system, thus creating an active alerting function to annunciate errors. We deployed the system to detect and annunciate "patient-in-wrong-OR'' events. The system detected all "wrong-operating room (OR)'' events, and all "wrong-OR'' locations were correctly assigned within 0.50+/-0.28 minutes (mean+/-SD). This corresponded to the measured latency of the tracking system. All wrong-OR events were correctly annunciated via the paging function. This experiment demonstrates that current technology can automatically collect sufficient data to remotely monitor patient flow through a hospital, provide decision support based on predefined rules, and automatically notify stakeholders of errors.

Automation↗
PubMedDate not supplied

Clinical dashboards: impact on workflow, care quality, and patient safety.

There is a vast array of technical data that is continuously generated within the intensive care unit environment. In addition to physiological monitors, there is information being captured by the ventilator, intravenous infusion pumps, medication dispensing units, and even the patient's bed. The ability to retrieve and synchronize data is essential for both clinical documentation and real-time problem solving for individual patients and the intensive care unit population as a whole. Technical advances that permit the integration of all relevant data into a singular display or "dashboard" may improve staff efficiency, accelerate decisions, streamline workflow processes, and reduce oversights and errors in clinical practice. Critical care nurses must coordinate all aspects of care for one or more patients. Clinical data are constantly being retrieved, documented, analyzed, and communicated to others, all within the daily routine of nursing care. In addition, many bedside monitors and devices have alarms systems that must be evaluated throughout the workday, and actions taken on the basis of the patient's condition and other data. It is obvious that the complexity within such care processes presents many potential opportunities for overlooking important details. The capability to systematically and logically link physiological monitors and other selected data sets into a cohesive dashboard system holds tremendous promise for improving care quality, patient safety, and clinical outcomes in the intensive care unit.

Computer Terminals↗