Open AccessHealth Professional’s Decision-Making Based on Multichannel Interaction Services
Author(s) -
Ailton Moreira,
Rui Miranda,
Manuel Filipe Santos
Publication year - 2021
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2021.03.112
Subject(s) - telemedicine , health professionals , computer science , health care , process (computing) , covid-19 , clinical decision making , data collection , knowledge management , data science , medicine , statistics , mathematics , disease , pathology , intensive care medicine , infectious disease (medical specialty) , economics , economic growth , operating system
The COVID-19 pandemic has reinforced the importance and impact of telemedicine and multichannel interactions in healthcare services provided to patients. Health professionals are in turn increasingly dependent on patient data collected through multichannel interactions to make their clinical decisions. This article intends to present a brief analysis from the viewpoint of health professionals regarding the use of technologies in telemedicine and multichannel interactions to support decision making, basing on the analysis of clinical data of patients collected in a telemedicine environment. These technologies have numerous advantages for healthcare professionals and patients, but there are also some obstacles and gaps inherent that need to be overcome. Furthermore, health professionals can perform a more detailed analysis of patient data before taking any decision, as this practice promotes data collection to facilitate the decision-making process of health professionals.
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