team memory
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Author(s):  
Linda Lee ◽  
Frank Molnar ◽  
Loretta M. Hillier ◽  
Tejal Patel ◽  
Karen Slonim

Abstract This study explored whether working within Multispecialty INterprofessional Team (MINT) memory clinics has an impact on health care professionals’ perceptions of the challenges, attitudes, and level of collaboration associated with providing dementia care. Surveys were completed by MINT memory clinic members pre- and 6-months post-clinic launch. A total of 228 pre-and-post-training surveys were matched for analysis. After working in the MINT memory clinics for 6 months, there were significant reductions in mean ratings of the level of challenge associated with various aspects of dementia care, and significant increases in the frequency with which respondents experienced enthusiasm, inspiration, and pride in their work in dementia care and in ratings of the extent of collaboration for dementia care. This study provides some insights into the effect of collaborative, interprofessional approaches on health care professionals’ perceptions of the challenges and attitudes associated with providing dementia care and level of collaboration with other health professionals.


Author(s):  
Mrs. Manju D, Dr. Seetha M, Dr. Sammulal P

Predicting and identifying suspicious activities before hand is highly beneficial because it results in increased protection in video surveillance cameras’. Detecting and predicting human's action before it is carried out has a variety of uses like autonomous robots, surveillance, and health care. The main focus of the paper is on automated recognition of human actions in surveillance videos. 3DCNN (3 Dimensional Convolutional Neural Network) is based on 3D convolutions, there by capturing the motion information encoded in multiple adjacent frames. The 3DCNN is combined with Long short team memory (LSTM) and Bidirectional LSTM for prediction of abnormal events from past observations of events in video stream. It is observed that 3DCNN with LSTM resulted in increased accuracy compared to 3DCNN with Bidirectional LSTM. The experiments were carried out on UCF crime Dataset.


2020 ◽  
Vol 21 (12) ◽  
pp. 2014-2015.e1
Author(s):  
Linda Lee ◽  
Loretta M. Hillier ◽  
Tejal Patel ◽  
Frank Molnar ◽  
Michael Borrie ◽  
...  

Hand ◽  
2012 ◽  
Vol 7 (2) ◽  
pp. 229-232 ◽  
Author(s):  
Tyson K. Cobb

Background Wrong site surgery is estimated to occur 40 times per week in hospitals and clinics in USA. The universal protocol was implemented by the joint commission board of commissioners to address wrong site, wrong procedure, and wrong person surgery. Discussion The universal protocol has three principal components: preoperative verification, marking of the operative site, and a time-out. Despite this organized approach to this problem, current data do not demonstrate any progress. In fact some data suggest that the problem may be getting worse. It is apparent that a process relying on surgeon and surgical team memory is doomed to ultimate failure. Recommendations are made for a more in depth checklist process based on the recommendations of the World Health Organization, reports in the literature of known areas of weakness in the current process, and personal experience in hopes of establishing a more bullet proof system to avoid wrong site procedure.


2007 ◽  
Vol 38 (2) ◽  
pp. 5-17 ◽  
Author(s):  
Blaize Horner Reich

This paper presents a framework identifying the key areas within IT projects where knowledge-based risks occur. These risks include a failure to learn from past projects, competence of the project team, problems in integrating and transferring knowledge, lack of a knowledge map, and volatility in governance. The model was compiled through an extensive literature search encompassing project management, information systems, software development, and team learning literatures. This framework was then tested and modified through a field study of 15 senior project managers from North America and New Zealand. Analysis of the interviews from the field study resulted in a set of five broad principles of knowledge management within projects. These principles relate to a climate for learning, knowledge levels, knowledge channels, team memory, and knowledge risks. Practices suggested by the interviewees accompany each principle.


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