Failure to recognize and respond to changes in a patient’s condition is a limitation in the effective utilization of Medical Emergency Teams (METs). A system that uses smartphone technology to facilitate vital signs collection at bedside has been developed. The alerts engine, based upon Mount Sinai Hospital’s (MSH) MET calling criteria, can automatically alert the MET of patients exhibiting abnormal vital signs. The system, without automated alerting, was piloted at MSH. Sensitivity and specificity calculations revealed that the MSH algorithm had a lower sensitivity and specificity than the Cuthbertson or the Modified Early Warning Score algorithms. This suggests that the MSH algorithm, compared to the others, was poor at identifying patients that did and did not require a MET consultation. Furthermore, the low positive predictive value suggests that the majority of alerts were not associated with a MET call. Therefore, the MSH algorithm is not recommended for the automated system.

Thesis (Ph. D.)--Georgia State University, 2008. / Title from file title page. Upkar Varshney, committee chair; Peter Meso, Yi Pan, Anu Bourgeois, committee members. Electronic text (192 p. : ill. (some col.)) : digital, PDF file. Description based on contents viewed Sept. 23, 2008. Includes bibliographical references (p. 184-192).

Includes bibliographical references (p. 64-65).

Thesis (M.A.) - Carleton University, 200-6. / Includes bibliographical references (p. 104-112). Also available in electronic format on the Internet.

Thesis (Ph. D.)--University of Hong Kong, 2000. / Includes bibliographical references (leaves 189-207).

Thesis (Ph. D. in Biomedical Engineering)--Vanderbilt University, May 2006. / Title from title screen. Includes bibliographical references.

Thesis (M.S. in Electrical Engineering)--Vanderbilt University, Aug. 2001. / Title from title screen. Includes bibliographical references.

Thesis (doctoral)--Tampere University of Technology, 2009. / Includes bibliographical references. Also available on the World Wide Web.

Present methods of monitoring, anesthetic breathing circuits for mechanical faults are flawed by inadequacies in the design of disconnect/pressure monitors (DPMs), devices which monitor breathing circuit pressure waveforms. Such inadequacies are investigated, and their cause is identified. A microprocessor based DPM, which applies pattern recognition techniques to the task of disconnect monitoring is proposed, and its design and implementation are presented. Technical and clinical trials show that the prototype DPM consistently detects almost all mechanical faults in the anesthetic breathing circuit. It is concluded that pattern recognition based DPMs are significantly more effective than their present day counterparts. / Applied Science, Faculty of / Electrical and Computer Engineering, Department of / Graduate

The overall aim throughout the project was to outline a new modular platform for a future generation of ventilators as well as designing a ventilator based on the defined platform. Doing so through a conceptual approach, looking at enabling cost efficient development, manufature and product scalability as well as taking the users needs for flexibility, improved usability, cable management and transport into consideration. The project used a traditional user centric design approach while also having a strong manufacturers focus when it came to looking at modularity and the company’s product offering.  The main insights throughout the project revolved around looking at the entire ecosystem of products and how they worked together in the intensive care unit (ICU). Understanding the core struggles and time consuming tasks in order further improve the workflow in the ICU. A big part of the ideation and concept development process was spent on building rough mock-ups for fast evaluation together with users and the collaborating partner. The result was a combined, highly modular, ventilator and monitoring system called Servo One. With a new tubing system that incorporated both humidifier and patient filter in a flexible way, together with an external sensor system, the concept drastically improved cable and tubing management - one of the biggest challenges in the ICU.