Posts

Showing posts from January, 2022

#Socmedhe more than a conference

  Presentation from SocMedHE21 on social media analysis tools Using social network analysis tools and Twitter data collected over a few months, we will look at some evidence from the hashtag #socmedhe and related hashtags to show that there is more than a conference happening. The presentation consists of three parts. A short explanation of some of the tools used, followed by an explanation of some of the measures used and then graphically seeing the groupings. Socmedhe more than a conference from Scott Turner Permalink - https://repository.canterbury.ac.uk/item/8zv0w/-socmedhe-more-than-a-conference

A smart and secure IoMT tele-neurorehabilitation framework for post-stroke patients

Image
Chapter title A smart and secure IoMT tele-neurorehabilitation framework for post-stroke patients Authors Manna, S. ,  Azhar, H.  and Sakel, M. Editors Bhaumik, S., Chattopadhyay, S., Chattopadhyay, T. and Bhattacharya, S. Abstract The COVID 19 pandemic adversely challenged the healthcare system in an unprecedented way. Access to neuro-rehabilitation programmes for patients with stroke and other neurological disability was severely restricted including shutting down of most community based and outpatient facilities. There is hardly any organised virtual programme of exploring any potential of stretching and exercising of muscles needed in a rehabilitation programme. There is an impetus to innovate service developments whilst the risks and fear of contracting the Coronvirus remain prevalent. We propose a framework for developing a novel tele-neurorehabilitation system that will guide the patients to perform therapeutic exercises, as proposed by the clinicians, remotely. The sys...

Deviation Detection in Clinical Pathways Based on Business Alignment

Image
  Deviation Detection in Clinical Pathways Based on Business Alignment Paper by Dr Man Qi as a co-author Yinhua Tian, Xinran Li, Man Qi, Dong Han, Yuyue Du ,   " Deviation Detection in Clinical Pathways Based on Business Alignment ",   Scientific Programming ,   vol.  2022 ,   Article ID  6993449 ,   13   pages ,   2022 .   https://doi.org/10.1155/2022/6993449 Abstract Several unexpected behaviors may occur during actual treatment of clinical pathways, which will have negative impact on the implementation and the future work. To increase the performance of current deviation detection algorithms, a method is presented according to business alignment, which can effectively detect the anomaly in the implementation of the clinical pathways, provide judgment basis for the intervention in the process of the clinical pathway implementation, and play a crucial role in improving the clinical pathways. Firstly, the noise in diagnosis and trea...