The Philosophy of Expertise in the Age of Medical Informatics: How Healthcare Technology is Transforming Our Understanding of Expertise and Expert Knowledge?

The unprecedented development of medical informatics is constantly transforming the concept of expertise in medical sciences in a way that has far-reaching consequences for both the theory of knowledge and the philosophy of informatics. Deep medicine is based on the assumption that medical diagnosis...

Full description

Bibliographic Details
Main Author: Rządeczka Marcin
Format: Article
Language:English
Published: Sciendo 2020-09-01
Series:Studies in Logic, Grammar and Rhetoric
Subjects:
Online Access:https://doi.org/10.2478/slgr-2020-0035
id doaj-18abb318b9db48afb7788cb6e65107fc
record_format Article
spelling doaj-18abb318b9db48afb7788cb6e65107fc2021-09-05T14:02:02ZengSciendoStudies in Logic, Grammar and Rhetoric0860-150X2199-60592020-09-0163120922510.2478/slgr-2020-0035slgr-2020-0035The Philosophy of Expertise in the Age of Medical Informatics: How Healthcare Technology is Transforming Our Understanding of Expertise and Expert Knowledge?Rządeczka Marcin0Maria Curie-Sklodowska University in Lublin, Faculty of Philosophy and SociologyThe unprecedented development of medical informatics is constantly transforming the concept of expertise in medical sciences in a way that has far-reaching consequences for both the theory of knowledge and the philosophy of informatics. Deep medicine is based on the assumption that medical diagnosis should take into account the wide array of possible health factors involved in the diagnostic process, such as not only genome analysis alone, but also the metabolome (analysis of all body metabolites important for e.g. drug-drug interactions), microbiome (i.e. analysis of all bodily microorganisms interacting with host cells) or exposome (analysis of all environmental factors triggering potentially harmful cell mutations, such as UV radiation, heavy metals, various carcinogens, etc.). Deep data analysis is of tantamount importance for personalized diagnosis but, at the same time, hardly achievable by a regular human being. However, adequately designed artificial intelligence (e.g. a deep neural network) can undeniably be of great help for finding correlations between symptoms and underlying diseases. Nowadays AI applies to nearly every aspect of medicine, starting from the data analysis of scientific literature, through the diagnostic process, to the act of communication between physicians and their patients. Medical image processing algorithms greatly enhance the chances of successful recognition of melanoma or intestinal polyps. Communication tools designed for physicians use techniques known from social media to provide users with an opportunity to consult the case with colleagues from the same discipline. Natural language processing tools significantly improve doctor-patient communication by the automation of note-taking. Is this enough to support the claim that the non-epistemic competences in medicine are becoming more and more important? Can we attribute expertise only to a person? How is medical informatics changing the way most people usually understand human-computer interactions?https://doi.org/10.2478/slgr-2020-0035philosophy of expertiseexpert knowledgephilosophy of medical informaticscomputers in medicine
collection DOAJ
language English
format Article
sources DOAJ
author Rządeczka Marcin
spellingShingle Rządeczka Marcin
The Philosophy of Expertise in the Age of Medical Informatics: How Healthcare Technology is Transforming Our Understanding of Expertise and Expert Knowledge?
Studies in Logic, Grammar and Rhetoric
philosophy of expertise
expert knowledge
philosophy of medical informatics
computers in medicine
author_facet Rządeczka Marcin
author_sort Rządeczka Marcin
title The Philosophy of Expertise in the Age of Medical Informatics: How Healthcare Technology is Transforming Our Understanding of Expertise and Expert Knowledge?
title_short The Philosophy of Expertise in the Age of Medical Informatics: How Healthcare Technology is Transforming Our Understanding of Expertise and Expert Knowledge?
title_full The Philosophy of Expertise in the Age of Medical Informatics: How Healthcare Technology is Transforming Our Understanding of Expertise and Expert Knowledge?
title_fullStr The Philosophy of Expertise in the Age of Medical Informatics: How Healthcare Technology is Transforming Our Understanding of Expertise and Expert Knowledge?
title_full_unstemmed The Philosophy of Expertise in the Age of Medical Informatics: How Healthcare Technology is Transforming Our Understanding of Expertise and Expert Knowledge?
title_sort philosophy of expertise in the age of medical informatics: how healthcare technology is transforming our understanding of expertise and expert knowledge?
publisher Sciendo
series Studies in Logic, Grammar and Rhetoric
issn 0860-150X
2199-6059
publishDate 2020-09-01
description The unprecedented development of medical informatics is constantly transforming the concept of expertise in medical sciences in a way that has far-reaching consequences for both the theory of knowledge and the philosophy of informatics. Deep medicine is based on the assumption that medical diagnosis should take into account the wide array of possible health factors involved in the diagnostic process, such as not only genome analysis alone, but also the metabolome (analysis of all body metabolites important for e.g. drug-drug interactions), microbiome (i.e. analysis of all bodily microorganisms interacting with host cells) or exposome (analysis of all environmental factors triggering potentially harmful cell mutations, such as UV radiation, heavy metals, various carcinogens, etc.). Deep data analysis is of tantamount importance for personalized diagnosis but, at the same time, hardly achievable by a regular human being. However, adequately designed artificial intelligence (e.g. a deep neural network) can undeniably be of great help for finding correlations between symptoms and underlying diseases. Nowadays AI applies to nearly every aspect of medicine, starting from the data analysis of scientific literature, through the diagnostic process, to the act of communication between physicians and their patients. Medical image processing algorithms greatly enhance the chances of successful recognition of melanoma or intestinal polyps. Communication tools designed for physicians use techniques known from social media to provide users with an opportunity to consult the case with colleagues from the same discipline. Natural language processing tools significantly improve doctor-patient communication by the automation of note-taking. Is this enough to support the claim that the non-epistemic competences in medicine are becoming more and more important? Can we attribute expertise only to a person? How is medical informatics changing the way most people usually understand human-computer interactions?
topic philosophy of expertise
expert knowledge
philosophy of medical informatics
computers in medicine
url https://doi.org/10.2478/slgr-2020-0035
work_keys_str_mv AT rzadeczkamarcin thephilosophyofexpertiseintheageofmedicalinformaticshowhealthcaretechnologyistransformingourunderstandingofexpertiseandexpertknowledge
AT rzadeczkamarcin philosophyofexpertiseintheageofmedicalinformaticshowhealthcaretechnologyistransformingourunderstandingofexpertiseandexpertknowledge
_version_ 1717809184364298240