This appeared last week:
Artificial intelligence 'facing barriers' in our health system
Authored by Sam Hunt
Issue 1 / 15 January 2024
Barriers abound in implementing artificial intelligence across Australia’s health care systems, with Queensland researchers calling for more government funding to take advantage of this emerging technology.
Australia’s health care system has been described as “impervious” to the alure of artificial intelligence (AI), with a lack of clinician trust and data privacy the main barriers to adopting the technology in clinical settings.
Other main concerns preventing the greater rollout of AI-related technology in Australian clinical settings include health inequity concerns due to possible biases in underlying data and not enough government regulation, according to a Perspective published in the Medical Journal of Australia.
“Across a network of clinicians in a national AI working group, only one hospital was known to have an AI trial underway,” Dr Anton Van Der Vegt and his colleagues wrote.
“As far as we are aware, there is no clinical AI implemented across Queensland Health despite having Australia’s largest centralised EMR system, which could make large-scale AI feasible.
“In stark contrast to the number of implemented AI systems, AI research abounds, with nearly 10 000 journal articles published each year across the world.”
Dr Van Der Vegt, a mechanical engineer by background, is an Advanced Queensland Industry Research Fellow with the Centre for Health Services Research at the University of Queensland Faculty of Medicine.
The WHO urges caution
The World Health Organization (WHO) last year called for caution in the use of AI in medicine.
“[The] growing experimental use [of AI] for health-related purposes is generating significant excitement around the potential to support people’s health needs,” the WHO said.
“It is imperative that the risks be examined carefully when using [large language model tools (LLMs)] to improve access to health information, as a decision-support tool, or even to enhance diagnostic capacity in under-resourced settings to protect people’s health and reduce inequity.”
Data used to train AI may be biased, “generating misleading or inaccurate information that could pose risks to health, equity and inclusiveness,” it said.
“LLMs may be trained on data for which consent may not have been previously provided for such use, and LLMs may not protect sensitive data (including health data) that a user provides to an application to generate a response.”
Government response
There is currently no specific AI legislation in place in Australia.
The Australian Government last year consulted on the potential risks of AI and how they can be mitigated, releasing this discussion paper.
The Department of Industry, Science and Resources, which ran the consultation, is using the 150 responses from industry and the community to inform the “appropriate regulatory and policy responses” (here).
“Patch work” of regulations
The Australian Human Rights Commission has described Australia’s AI regulations as a “patchwork”, saying that if the technology is not developed and deployed safely, it can threaten human rights.
“AI operates in a regulatory environment that is patchwork at best,” the Commission said.
“This has allowed AI to proliferate in a landscape that has not protected people from human rights harms.
“The Commission is especially concerned about emerging harms such as privacy, algorithmic discrimination, automation bias, and misinformation and disinformation.”
Algorithms “developed separately”
AI algorithms are typically developed and evaluated on different datasets to the ones at hospital sites, Dr Van Der Vegt and colleagues wrote.
This means that changes to clinical workflows, presenting patient conditions, data quality levels and patient demographic distributions can significantly affect algorithm performance.
“For example, AI algorithms developed on large city populations may perform poorly for hospitals in rural and remote areas, further perpetuating poor health outcomes for underserved and marginalised patient cohorts,” they wrote.
“Without this evaluation checkpoint, the AI remains untested. We argue this is one of the major reasons for the slow or absent uptake of AI within Australian hospitals today.”
AI may assist with diagnosis and treatment
Australian Medical Association President, Professor Steve Robson, said artificial intelligence has the potential to transform medicine.
“This will be just as big a culture shock for doctors as it will be for their patients,” Professor Robson said.
“The most advanced AI that most doctors use at the moment is often Siri, or their Netflix preference guides.”
The first doctors to embrace the potential of AI have been radiologists, Professor Robson said.
“For several years now, AI software applications have been introduced to assist with image recognition and, increasingly, with decision-support,” he said.
“Interpreting medical scans can be challenging for even the most experienced specialists, and the stakes are high. Missing an important diagnosis, such as an early cancer or a subtle bone fracture, can have serious consequences for patients.
“The use of AI to assist radiologists as they work to read multiple images has been shown to enhance accuracy and improve outcomes for patients.
“AI is so powerful in its capabilities that it may detect subtle changes in human tissues that elude the human eye.”
The technology also has the potential to change pathology services, such as the diagnosis of cancer, he said.
“At a time when the pathology workforce is under great pressure, the introduction of AI technologies that act as a co-pilot and assist the pathologist in dealing with high workloads will be attractive to health services,” Professor Robson said.
Call for AI funding
Public funding outside of health care organisations’ budgets is required to develop this infrastructure, Dr Van Der Vegt and his colleagues argue.
More here:
https://insightplus.mja.com.au/2024/1/artificial-intelligence-facing-barriers-in-our-health-system/
This is a useful summary of the issues. It is interesting to see that the AMA is also very much on board:
Artificial intelligence has the potential to transform medicine
Published 18 January 2024
The MJA this week looks at the future role for AI in Australia’s healthcare.
The AMA’s journal — the Medical Journal of Australia (MJA) — this week looks at the barriers and possibilities for artificial intelligence (AI) in Australia’s healthcare system.
AMA President Professor Steve Robson told the MJA artificial intelligence has the potential to transform medicine.
“For several years now, AI software applications have been introduced to assist with image recognition and, increasingly, with decision-support,” Professor Robson said.
“Interpreting medical scans can be challenging for even the most experienced specialists, and the stakes are high. Missing an important diagnosis, such as an early cancer or a subtle bone fracture, can have serious consequences for patients.
“The use of AI to assist radiologists as they work to read multiple images has been shown to enhance accuracy and improve outcomes for patients. AI is so powerful in its capabilities that it may detect subtle changes in human tissues that elude the human eye.”
“The technology also has the potential to change pathology services, such as the diagnosis of cancer. At a time when the pathology workforce is under great pressure, the introduction of AI technologies that act as a co-pilot and assist the pathologist in dealing with high workloads will be attractive to health services,” Professor Robson said.
In other recent media on AI Professor Robson warned that “we are about to see the start of a quiet revolution that will, in the long run, be almost as transformative as the introduction of technologies such as antibiotics, blood banking and safe anaesthesia”.
“If we are to harness its power for the greatest good, then we need to ensure it is a safe and trustworthy co-pilot in human health care, and never takes over the controls.”
Last August, the AMA published its first position statement on AI, outlining the need for regulation to be put in place before the widespread use of the technology in healthcare.
Read the position statement
Here is the link:
https://www.ama.com.au/ama-rounds/19-january-2024/articles/artificial-intelligence-has-potential-transform-medicine
All I can really suggest is watch this space or better still get a job in the area and make a contribution.
David.
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