Steve Biko’s murder exposed deep racism in how medicine was taught and practised in South Africa
The history of scientific racism can help us to improve medical ethics.
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Why South Africa’s plans for universal healthcare are pie in the sky
South Africa’s planned NHI has no equivalent in any setting in the world. It’s deeply flawed on a number of fronts.
A juggernaut like the NHS won’t find it easy to drop Windows for open source ‑ but it should
Like many large modern organisations, the NHS has grown up with constant change – not only in medical practice, but also in the systems that support the daily routine of one of the world’s largest health…
Oasis are on the road again. But has the ticket scandal spelled the end of dynamic pricing?
Consumers accept dynamic pricing for things like hotels and flights – but events organisers should proceed with caution.
Algorithms are maximising profits for online retailers by colluding to keep prices high
The AI behind retail websites has learnt the best strategy is to copy each other’s prices – and that can see them ‘collude’ to keep them high.
Consumers lose out in funeral industry lacking competition and regulation: study
Regulation of funeral products needs to be consistent to improve consumer understanding and choice.
Why postal codes shouldn’t determine RSV protection in Canada
New RSV tools can prevent infant hospitalizations, but access varies by province. Who is responsible for ensuring vaccine equity across Canada?
It’s not just tax. How PwC, KPMG and other consultants risk influencing public health too
There’s growing concern about the potential for conflicts of interest and undue influence on public health policy.
How a post‑COVID‑19 revival could kickstart Africa’s free trade area
African countries must take advantage of the COVID-19 pandemic and its impact to accelerate industrialisation and intra-regional trade, and improve infrastructure.
From a ‘deranged’ provocateur to IBM’s failed AI superproject: the controversial story of how data has transformed healthcare
To understand the potential for machine learning to transform medicine, we must go back to the controversial origins of data use in healthcare
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