Open AccessA Collaborative Model for Integration of Artificial Intelligence in Primary Care
Author(s) -
Serge Dolgikh
Publication year - 2021
Publication title -
journal of human, earth, and future
Language(s) - English
Resource type - Journals
ISSN - 2785-2997
DOI - 10.28991/hef-2021-02-04-07
Subject(s) - risk analysis (engineering) , primary care , sustainability , quality (philosophy) , component (thermodynamics) , computer science , health care , artificial intelligence , management science , medicine , engineering , ecology , philosophy , physics , family medicine , epistemology , economics , biology , economic growth , thermodynamics
The cost of primary care is rapidly increasing in the developed world, and improving the accuracy of screening and diagnostic testing as well as other areas of primary care can be seen as an essential component in ensuring the long-term sustainability of the quality and efficiency of public health care systems. In this study, the authors propose a simple yet robust model of collaborative decision-making incorporating machine and human competences whereby the strengths and advantages of artificial intelligence methods can be harnessed to improve the overall accuracy of essential testing, diagnostics, screening, and other critical areas of patient care while addressing concerns and ensuring safety and complete human control over the course of diagnostics and treatment. Doi: 10.28991/HEF-2021-02-04-07 Full Text: PDF