%0 Journal Article
%T Artificial Intelligence; a Pragmatic Approach to Implementation in Medicine, a Review of the literature and a Survey of Local Practice in Midlands in UK
%A Neil Capes
%A Hiran Patel
%A Islam Sarhan
%A Neil Ashwood
%A Andrew Dekker
%A Ramy Shehata
%J International Journal of Intelligence Science
%P 63-79
%@ 2163-0356
%D 2023
%I Scientific Research Publishing
%R 10.4236/ijis.2023.133005
%X The use
of Artificial Intelligence (AI) for clinical pathway management <span><span style=\"font-family:Verdana;\">and decision making is believed to improve
clinical care and has been used to improve pathways for treatment in most
medical disciplines. </span><b><span style=\"font-family:Verdana;\">Methods: </span></b><span style=\"font-family:Verdana;\">A literature review was undertaken to
identify the hurdles and steps required to introduce supported clinical
decision-making using AI within hospitals. This was supported by a survey of
local hospital practice within the Midlands of the United Kingdom to see what
systems had been introduced and were functioning effectively. </span><b><span style=\"font-family:Verdana;\">Results: </span></b><span style=\"font-family:Verdana;\">It
is unclear how to practically im</span></span><span style=\"font-family:Verdana;\">plement
systems using AI within medicine easily. Algorithmic medicine</span><span style=\"font-family:Verdana;\"> based on a set of rules calculated from data only
takes a clinician so far to deliver patient centred optimal treatment. AI
facilitates a clinician</span><span style=\"font-family:Verdana;\"><span style=\"font-family:Verdana;\"><span style=\"font-family:Verdana;\">กฏ</span></span></span><span style=\"font-family:Verdana;\"><span style=\"font-family:Verdana;\"><span style=\"font-family:Verdana;\">s ability to assimilate data from disparate sources
and can help with some of the analysis and decision making. However, learning
remains organic and the </span></span></span><span style=\"font-family:Verdana;\"><span style=\"font-family:Verdana;\"><span style=\"font-family:Verdana;\">subtleties of difference
between patients, care providers who exhibit</span></span></span><span style=\"font-family:Verdana;\"><span style=\"font-family:Verdana;\"><span style=\"font-family:Verdana;\"> non-verbal communication for instance make it
difficult for an AI to capture all the pertinent information required to make
the correct clinical decision for any given individual. Hence it assists rather
than controls any process in clinical practice. It also must continually renew
and adapt considering changes</span></span></span><span style=\"font-family:Verdana;\"><span style=\"font-family:Verdana;\"><span style=\"font-family:Verdana;\"> in</span></span></span><span style=\"font-family:Verdana;\"><span style=\"font-family:Verdana;\"><span style=\"font-family:Verdana;\"> practi</span></span></span><span style=\"font-family:Verdana;\"><span style=\"font-family:Verdana;\"><span
%K Artificial Intelligence
%K Local Practice in Midlands
%K AI in Medicine
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=127982