Oxford University created DrugGPT, an AI tool to solve pharmaceutical prescription issues. By giving quick second views on prescribed drugs and comprehensive information to help patients better understand their therapy, this technology acts as a safety net for medical professionals.
The DrugGPT chatbot allows medical practitioners to enter a patient's circumstances into the AI chatbot tool and create a list of suggested medications while highlighting possible side effects and drug interactions, according to The Guardian. DrugGPT's ability to provide context for its suggestions by referencing pertinent guidelines and studies is one of its standout features.
DrugGPT stands out for its efficacy, obtaining performance levels equivalent to those of human specialists in medical exams, even though some doctors currently utilize AI chatbots for medical purposes. The project's lead researcher, Professor David Clifton, claims that DrugGPT is a useful tool for medical professionals, providing suggestions to supplement their own knowledge.
"It will show you the guidance - the research, flowcharts and references - and why it recommends this particular drug," he noted.
How Will DrugGPT Impact Healthcare?
Millions of medication-related medical mistakes occur each year in England alone, raising serious concerns about this issue. These mistakes can endanger lives and cause unneeded expenses. Patients who do not comply with recommended directions can contribute to medication-related problems.
Consultant obstetrician Dr. Lucy Mackillop emphasizes how DrugGPT may give medical professionals useful data to enhance patient comprehension and medication adherence. We must remember that healthcare personnel are humans and may commit errors, especially under pressure.
Even though DrugGPT and other similar healthcare technologies can reduce mistakes, general practitioners still need to make sure they have enough money and employees to provide safe patient care. Dr. Michael Mulholland emphasizes the importance of implementing advanced safety precautions and ensuring thorough testing and assessment of novel instruments before their widespread use.
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The prescription medicine OxyContin is displayed August 21, 2001 at a Walgreens drugstore in Brookline, MA.
Medical experts acknowledge the how AI signfiicantly improved healthcare services. According to research from the Indian Journal of Dermatology, published in the National Library of Medicine, recent developments in the use of AI systems have profoundly affected the diagnosis and prognosis of patients in a variety of medical specializations.
As demonstrated by Google's creation of a DCNN trained on retinal fundus pictures to categorize diabetic retinopathy and macular edema in adults with diabetes, AI has also been beneficial in determining the prognosis of patients, per the study. This AI model has several benefits, such as extensive coverage in screening programs, early diagnosis of retinopathy, automated grading of retinopathy, and serving as a second opinion for ophthalmologists, thereby lowering access barriers.
Moreover, the study pointed out that AI assistants, like those created by BotMD, are improving patient experiences and helping doctors by offering round-the-clock clinical support. These AI technologies help doctors discover on-call doctors, schedule appointments, answer prescription questions, and access hospital protocols and clinical tools, enhancing hospital productivity.
Experts Seek Accountability for AI-Assisted Doctor Malpractices
In a recent update, medical experts urge US authorities to ensure clear safeguards and accountability in the use of AI in healthcare. The American Medical Association (AMA) is advocating to Congress for liability protection against AI-related medical negligence.
President Jesse Ehrenfeld highlights the importance of physician confidence in AI systems in efforts to improve healthcare, as reported by TechTimes.
The AMA is in favor of "augmented intelligence" as opposed to relying exclusively on AI. According to a Capital Economics report, healthcare organizations are incorporating AI technologies more and more; 6.1% aim to implement them within the next six months.
Although AI has great potential, liability issues have come up again, drawing political attention. Legislative action regarding liability protection is unpredictable owing to regulatory constraints, even in light of changing political climates.
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