Artificial intelligence will radically improve health care, but only if managed carefully

Even more important than the speed at which we deploy artificial intelligence (AI) in U.S. healthcare is doing it right. To derive the maximum positive impact from innovation, ensuring integrity and transparency must be paramount. It is a set of principles that guide clinical research, including respect for the human person, maximization of benefit and avoidance of harm to patients, fair sharing of benefits, meaningful informed consent, and protection of confidential patient information. This can be achieved by applying

The advent of artificial intelligence is reminiscent of the great gold rush, a frenzied era of endless possibilities but full of uncertainty, speculation, and unintended consequences. Advances in AI are on the precipice of true transformation in healthcare, allowing us to reduce existing burdens and inefficiencies while improving patient care and experience. An example is: Ambient audio transcription tools This allows doctors and nurses to spend more time with patients using diagnostic equipment that detects diabetic retinopathy and colonic polyps, a list that is growing every day. Its uses are almost endless. A new revolution has arrived.

Although this technology has revitalized the healthcare field, its widespread implementation is still a long way off. It remains to be seen how healthcare professionals and patients will interact with and utilize artificial intelligence. Unfortunately, the potential for harm has already been demonstrated in the examples below. Significant algorithmic bias And that Use AI to deny permission for patient care. Experts use the term human-in-the-loop (HITL) to describe the required human involvement within a system of automated processes. But this is not enough. Because we need to be at the top of the hierarchy, not just one dimension of a progressive machine learning system. The last line will be repeated. Man must remain at the top of the hierarchy. We need to control AI, not the other way around.

The complexity of artificial intelligence requires significant bandwidth to properly oversee its applications and build sensible guardrails that enable innovation while protecting patients and other key stakeholders. . The scale and scope of this effort far exceeds what the federal government could accomplish alone. Unlike the top-down approaches pursued in other parts of the world, we used public-private partnerships to develop these guidelines and guardrails to ensure what is created is trustworthy and valuable. You need to verify that. This can be achieved in part by establishing an independent assurance laboratory that evaluates AI models and their applications using generally accepted principles. You will need multiple chickens to guard the chicken coop.

Avoid similar mistakes that have prevented the integration of now-mature technologies. electronic medical records, is the most important. National standards are essential to establish best practices in medical AI to take advantage of emerging innovations, and adoption of these benchmarks must be as close to the end beneficiaries as possible. Here, federal authorities have an important role to play in convening and enabling the creation of these standards. However, its implementation should be deferred as much as possible to local governments at the health system level, with federal authorities intervening only when necessary. Progress is not free, but we must learn from our past mistakes.

In our quest to introduce artificial intelligence into mainstream healthcare, ethical considerations must remain at the forefront. Patients in rural or low-income areas should be able to take advantage of this technology. Additionally, it is imperative that the AI ​​used in these communities is as trustworthy as the AI ​​used in mainstream healthcare systems. Just as access to healthcare does not guarantee quality, access to artificial intelligence systems does not guarantee the competence or reliability of what is available.

Reducing the burden on clinicians, improving patient health and experience, and introducing new lifesaving technologies into the rapidly growing world of healthcare is an exciting endeavor. Traversing these uncharted territories in a way that avoids avoidable danger will allow human intelligence to harness the power of limitless computation to create better and more affordable care. . Healthcare professionals and patients alike are eagerly anticipating the powerful capabilities and practical benefits of artificial intelligence in healthcare delivery. It is essential to ensure that the impending explosion of adoption into healthcare settings is executed wisely and strategically to maximize the positive impact for everyone.

Dr. Greg Murphy, a practicing urologist, represents North Carolina’s 3rd District. Dr. Michael Pencina is Chief Data Scientist at Duke Health and Professor of Biostatistics and Bioinformatics at Duke University School of Medicine.