Work

Disrupting the power balance between doctors and patients in the digital era

Year: 2021

Type: article

Abstract: The primary way of identifying symptoms of impending disease, and when it is time to seek care, relies heavily on a patient's own perception of how they feel. This reliance on a disease reaching a threshold at which subjectively recognised symptoms are produced creates a situation in which many patients identified as at risk for disease are already experiencing chronic disease. Thus, substantial delays can be seen from the first noticing of symptoms to accurate diagnosis. The COVID-19 pandemic has highlighted the inadequacy of subjective approaches for early detection of disease and control of the spread of infectious diseases.

Source: The Lancet Digital Health

DOI: 10.1016/s2589-7500(21)00004-2

Authors: Sarah M Goodday, John R Geddes, Stephen H Friend

Institutions: University of Oxford, Oxford Health NHS Foundation Trust

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $5,000