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At least 775 records · Page 43Linked to original sources
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↗
PubMed2005

Enhanced notification of critical ventilator events.

Mechanical ventilators are designed to generate alarms when patients become disconnected or experience other critical ventilator events. However, these alarms can blend in with other accustomed sounds of the intensive care unit. Ventilator alarms that go unnoticed for extended periods of time often result in permanent patient harm or death. We developed a system to monitor critical ventilator events through our existing hospital network. Whenever an event is identified, the new system takes control of every computer in the patient's intensive care unit and generates an enhanced audio and visual alert indicating that there is a critical ventilator event and identifies the room number. Once the alert is acknowledged or the event is corrected, all the computers are restored back to the pre-alert status and/or application. This paper describes the development and implementation of this system and reports the initial results, user acceptance, and the increase in valuable information and patient safety.

Computer Systems↗
PubMed2004

Partner notification: preferences of Melbourne clients and the estimated proportion of sexual partners they can contact.

This study was conducted to determine the estimated proportion of contactable sexual partners, the most common types of contact information available and the most acceptable contact tracing strategies for our clients. Five hundred 'walk in' clients completed a questionnaire about their total number of sexual partners, the proportion of contactable partners and available contact information. Women had the highest estimated number of contactable partners (89-94%), men who have sex with men had the lowest (51-73%). The preferred contact tracing strategy was to give partners a website address (76%) and the least preferred was provider referral (33%). There was a difference in the type of information available for contacting sexual partners (P <0.001); most commonly clients reported partners contactable by phone or face to face and least commonly through a third person. The currently used method (doctor's letter) is not the preferred choice of these clients and more innovative methods using recent technology may prove more effective.

Adult↗