Tanmoy Bhattacharya, a Shailesh Chandrasekharan, Rajan Gupta, Weonjong Lee, and Stephen Sharpe c,d MS B-285, Los Alamos National Lab, Los Alamos, New Mexico 87545, USA Department of Physics, Duke University, Durham, North Carolina 27705, USA Physics Department, University of Washington, Seattle, Washington 98195, USA Center for Computational Physics, University of Tsukuba, Tsukuba, Ibaraki, 305...

We explore the potential of applying machine learning techniques to the management of patient flow in hospitals. For this project, we have obtained the Weka machine learning library and three years of historical ward occupancy data from Rockyview Hospital. We use Weka’s classifier algorithms and the Rockyview data to build a model of patient flow through each ward. Using Weka, we then attempt t...

This article assesses the role of ward-based simulation in cardiopulmonary resuscitation training. Based on an initiative introduced at the Royal Hospital for Neuro-disability, London, it supports many of the positive claims made about the value of simulation in such contexts. The role of simulation was audited on the basis of feedback from staff, who indicated that the opportunity to practise ...

background patients’ escape from hospital imposes a significant cost to patients as well as the health system. besides, for these patients, exposure to adverse events (such as suicide, self-harm, violence and harm to hospital reputation) are more likely to occur compared to others. the present study aimed to determine the characteristics of the absconding patients in a general hospital through ...

This project developed and analysed the impact of a ward round pro forma across three wards large tertiary hospital containing positive or high-risk COVID-19 patients. Templates checklists have improved patient outcomes in medical, surgical high-care settings.[1,2][1] The daily