An ethically mindful approach to AI for health care

Abstract

Health-care systems worldwide face increasing demand, a rise in chronic disease, and resource constraints. 1 Martin GP Sutton E Willars J Dixon-Woods M Frameworks for change in healthcare organisations: a formative evaluation of the NHS Change Model. Health Serv Manage Res. 2013; 26: 65-75 Crossref PubMed Scopus (14) Google Scholar At the same time, the use of digital health technologies in all care settings has led to an expansion of data. These data, if harnessed appropriately, could enable health-care providers to target the causes of ill-health and monitor the effectiveness of preventions and interventions. For this reason, policy makers, politicians, clinical entrepreneurs, and computer and data scientists argue that a key part of health-care solutions will be artificial Intelligence (AI), particularly machine learning. 2 Chin-Yee B Upshur R Three problems with big data and artificial intelligence in medicine. Perspect Biol Med. 2019; 62: 237-256 Crossref PubMed Scopus (27) Google Scholar , 3 Harerimana G Jang B Kim JW Park HK Health big data analytics: a technology survey. IEEE Access. 2018; 6: 65661-65678 Crossref Scopus (47) Google Scholar AI forms a key part of the National Health Service (NHS) Long-Term Plan (2019) in England, the US National Institutes of Health Strategic Plan for Data Science (2018), and China's Healthy China 2030 strategy (2016).