Resource Management

Study reveals rampant racism in decision-making software used by US hospitals — and highlights ways to correct it. An algorithm widely used in US hospitals to allocate health care to patients has been systematically discriminating against black people, a sweeping analysis has found. The study concluded that the algorithm was less likely to refer black […]

Show Analytics Exchange: Podcasts from SAS, Ep The Health Pulse: AI and Bias in Healthcare – Mar 5, 2021 Data scientist Hiwot Tesfaye joins Greg for a conversation about the use of algorithms in healthcare and how models can introduce bias. They’ll discuss current examples of health care bias, who should be held responsible and […]

AI is helping healthcare organisations determine care management programs and treatment plans – who gets what care – but these models and algorithms can be biased and introduce discrimination in the allocation or denial of care.

This guest panel series examines the use of AI in assisting healthcare, with a particular focus on automating tasks, communicating diagnoses and allocating resources. It examines the sources of bias in AI integrated systems and what we can do to eliminate it.

This study sheds more light on factors affecting perceived risks and proposes some recommendations on how to practically reduce these concerns. The findings of this study provide implications for research and practice in the area of AI-based CDS. Regulatory agencies, in cooperation with healthcare… This paper examines AI-based tools for healthcare from a consumer’s perspective. […]

By Adriana Krasniansky Interest in artificially intelligent (AI) health care has grown at an astounding pace: the global AI health care market is expected to reach $17.8 billion by 2025 and AI-powered systems are being designed to support medical activities ranging from patient diagnosis and triagin… AI-powered systems are being designed to support medical activities […]

Abstract. The COVID-19 pandemic is presenting a disproportionate impact on minorities in terms of infection rate, hospitalizations, and mortality. In terms of infection rate, hospitalisation and mortality, the Covid-19 pandemic presents a disproportionate impact on minorities. Many believe that artificial intelligence could be a solution to guide clinical decision making to overcome this novel disease. […]

A new article in the Journal of the American Medical Informatics Association points to the dissemination of “under-developed and potentially biased models” in response to the novel coronavirus. This article draws on recent medical research which shows how potentially biased models informing our health care systems have impacted COVID-19. These biased models could exacerbate the […]

The complexity and rise of data in healthcare means that artificial intelligence (AI) will increasingly be applied within the field. Several types of AI are already being employed by payers and providers of care, and life sciences companies. The key categories … This report discusses current applications of AI as well as potential future applications […]

Sweeping calculation suggests it could be — but how to fix the problem is unclear. An estimated one million black adults would be transferred earlier for kidney disease if US health systems removed a ‘race-based correction factor’ from an algorithm they use to diagnose people and decide whether to administer medication. There is a debate […]

An algorithm used in the US supposed to estimate kidney function, the severity of the disease and allocation of kidney transplants, is found to be racially skewed, under-allocating necessary resources to black patients. A study demonstrates that the algorithm took an individual’s race into account, meaning that they were not offered a kidney transplant when […]

Deep learning algorithms using data from homogeneous populations may be difficult to generalise, and potentially exacerbate racial disparities in health and health care. This research paper explores (1) whether the accuracy of a deep learning algorithm varies depending on race / ethnicity, and (2) whether this performance is down to racial variation or external health […]

New York news video reporting on the investigation into UnitedHealth Group over allegations that they are utilising a racially biased algorithm. A new study reports that the new AI software leads to lower levels of care for black patients compared to white patients.

News article, drawing on a study by Nature Medicine, which explains how algorithms might be able to help tackle racial biases within doctors’ own judgements. Doctors’ judgement of how much pain a patient is feeling has been linked to discrimination and racism, with black patients likely to have their pain level underestimated, which can adversely […]

This article explains how bias in AI systems is contributing to the exacerbation of racial health disparities. There is a huge issue with the misrepresentation of our data sets, which could result in health systems that do not correctly identify nor treat illnesses in non-white patients. For example, skin-cancer detection algorithms trained on light-skinned individuals, […]