Effectiveness of an artificial intelligence-based training and monitoring system in prevention of nosocomial infections: A pilot study of hospital-based data

Drug Discoveries & Therapeutics, Год журнала: 2023, Номер 17(5), С. 351 - 356

Опубликована: Сен. 6, 2023

This work describes a novel artificial intelligence-based training and monitoring system (AITMS) that was used to control prevent nosocomial infections (NIs) by improving the skills of donning/removing personal protective equipment (PPE). The AITMS has two working modes, namely an AI-based surveillance mode mode, were for routine training, respectively. Data revealed accuracy rate PPE improved as result AITMS. Interestingly, frequency NIs decreased with use study suggested key role using in controlling preventing NIs. preliminarily proved appropriate may help reduce risk In addition, newest computerized technologies, such AI, have proven be useful These findings should helpful formulate better strategy against future.

Язык: Английский

Nurses' experience of end‐of‐life care for patients with COVID‐19: A descriptive phenomenology study

Nursing and Health Sciences, Год журнала: 2024, Номер 26(2)

Опубликована: Май 1, 2024

The mortality rates among critically ill patients with COVID-19 have been high. national and institutional infection control policies resource shortages caused by the pandemic led to undergo deaths without dignity inevitably changed intensive care unit (ICU) end-of-life (EOLC) practices. This study explores ICU nurses' experiences of providing EOLC for who died. Eight nurses participated in a qualitative phenomenological study. Semi-structured interviews were conducted from July September 2022. Colaizzi's data analysis method was used, following four main themes emerged: (i) only companion death journey; (ii) helping families prepare death; (iii) trapped within framework; (iv) retrospect. To secure high-quality ICU, it is important promote practical support EOLC-related discussions/education. Technical support, such as digital communication technologies, should be reinforced help their participate EOLC.

Язык: Английский

A Two-Stage Approach to Optimize Medical Waste Transportation Problem During Pandemic

Communications in computer and information science, Год журнала: 2024, Номер unknown, С. 260 - 273

Опубликована: Янв. 1, 2024

Язык: Английский