Health and Me

Rachel V Thomas

Anthropic, OpenEvidence Expand Clinical AI Globally: WHO Warns of Ethics Risks

As artificial intelligence (AI) rapidly reshapes health research and clinical care, <span>Anthropic</span> and medical knowledge platform <span>OpenEvidence</span> have announced a collaboration to provide AI-powered clinical decision support to healthcare providers in dozens of low- and middle-income countries.

OpenEvidence answers doctors’ clinical questions using peer-reviewed research and treatment guidelines. The platform, already free to clinicians in the US and Europe, will now be extended to providers in countries where access to medical literature, specialist expertise and continuing education may be limited.

The initiative is being rolled out in about 100 countries, including Uganda, Angola, Sudan, Haiti and Mongolia, according to a list provided by OpenEvidence.

“Access to medical knowledge shouldn’t depend on geography,” OpenEvidence founder Daniel Nadler said.

<h2>How Can <span rel="noindex">Clinical AI</span> Help Doctors?</h2>

Rajeev Jayadevan, former president of IMA Cochin and convener of the Research Cell, Kerala, told HealthandMe that doctors in Western countries already have access to OpenEvidence, which has also been incorporated into electronic medical records at major US hospitals.

He said the platform could help doctors quickly access medical evidence at the point of care.

“The advantage is that the doctor will have instant access to relevant research papers published in multiple journals, all at once, while asking a specific question about a patient while at the bedside,” Dr Rajeev said.

He called it “a major time-saving step for the busy clinician, who may not have the time to go to the library, sit down with medical journals or textbooks, or even do internet-based searches to look for relevant papers”.

Dr Rajeev also said wider access to medical information could help reduce inequalities in healthcare.

“Medical information that directly helps patients must be available to the doctor free of charge,” he said.

However, AI-based clinical tools also have limitations, particularly when used across different healthcare systems.

“Potential disadvantages include the need for doctors to be trained in digital health literacy and the fact that the answer provided by <span>AI algorithms</span> heavily depends on what the doctor asked for, and in what format,” Dr Rajeev said.

“Some of these issues can be ironed out by using templates, so that important information or keywords are not missed by the doctor who enters the query. Other risks include relying on data from other countries and treatment options that are unavailable or expensive for the local community,” he added.

<h2>What Are the <span rel="noindex">Ethical Risks of Clinical AI</span>?</h2>

The expansion of AI in healthcare comes as the WHO has separately called for stronger ethics oversight of AI-related health research.

In a report published this week, WHO warned that rapid advances in AI are creating challenges around privacy, bias, fairness, transparency and accountability. It said existing research ethics systems may need additional expertise to assess risks associated with AI and large datasets.

Dr Rajeev said AI-driven research, particularly when it involves large datasets crossing national borders, may require ethics committees to include experts in computer science, data ethics and bioinformatics.

“Ethics Committees by themselves will need to be upgraded to incorporate computer scientists, data ethicists, and bioinformaticians.”

WHO also said oversight should extend beyond ethics committees to researchers, funders, scientific journals, data governance bodies, professional societies and regulators.

For low- and middle-income countries, clinical AI could help bridge gaps in access to medical literature and specialist knowledge. At the same time, WHO has highlighted the need for local capacity and safeguards to ensure that AI systems developed largely in higher-income settings are appropriate for different healthcare systems and do not introduce new inequities.

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As artificial intelligence (AI) rapidly reshapes health research and clinical care, Anthropic and medical knowledge platform OpenEvidence have announced a collaboration to provide AI-powered clinical decision support to healthcare providers in dozens of low- and middle-income countries.OpenEvidence answers doctors’ clinical questions using peer-reviewed research and treatment guidelines. The platform, already free to clinicians in the US and Europe, will now be extended to providers in countries where access to medical literature, specialist expertise and continuing education may be limited.The initiative is being rolled out in about 100 countries, including Uganda, Angola, Sudan, Haiti and Mongolia, according to a list provided by OpenEvidence.“Access to medical knowledge shouldn’t depend on geography,” OpenEvidence founder Daniel Nadler said.How Can Clinical AI Help Doctors?Rajeev Jayadevan, former president of IMA Cochin and convener of the Research Cell, Kerala, told HealthandMe that doctors in Western countries already have access to OpenEvidence, which has also been incorporated into electronic medical records at major US hospitals.He said the platform could help doctors quickly access medical evidence at the point of care.“The advantage is that the doctor will have instant access to relevant research papers published in multiple journals, all at once, while asking a specific question about a patient while at the bedside,” Dr Rajeev said.He called it “a major time-saving step for the busy clinician, who may not have the time to go to the library, sit down with medical journals or textbooks, or even do internet-based searches to look for relevant papers”.Dr Rajeev also said wider access to medical information could help reduce inequalities in healthcare.“Medical information that directly helps patients must be available to the doctor free of charge,” he said.However, AI-based clinical tools also have limitations, particularly when used across different healthcare systems.“Potential disadvantages include the need for doctors to be trained in digital health literacy and the fact that the answer provided by AI algorithms heavily depends on what the doctor asked for, and in what format,” Dr Rajeev said.“Some of these issues can be ironed out by using templates, so that important information or keywords are not missed by the doctor who enters the query. Other risks include relying on data from other countries and treatment options that are unavailable or expensive for the local community,” he added.What Are the Ethical Risks of Clinical AI?The expansion of AI in healthcare comes as the WHO has separately called for stronger ethics oversight of AI-related health research.In a report published this week, WHO warned that rapid advances in AI are creating challenges around privacy, bias, fairness, transparency and accountability. It said existing research ethics systems may need additional expertise to assess risks associated with AI and large datasets.Dr Rajeev said AI-driven research, particularly when it involves large datasets crossing national borders, may require ethics committees to include experts in computer science, data ethics and bioinformatics.“Ethics Committees by themselves will need to be upgraded to incorporate computer scientists, data ethicists, and bioinformaticians.”WHO also said oversight should extend beyond ethics committees to researchers, funders, scientific journals, data governance bodies, professional societies and regulators.Why This MattersFor low- and middle-income countries, clinical AI could help bridge gaps in access to medical literature and specialist knowledge. At the same time, WHO has highlighted the need for local capacity and safeguards to ensure that AI systems developed largely in higher-income settings are appropriate for different healthcare systems and do not introduce new inequities.

anthropic, openevidence expand clinical ai globally: who warns of ethics risks

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