Artificial intelligence (AI) is indeed here and has been rapidly advancing in recent years. From virtual assistants, self-driving cars, fraud detection algorithms, robotics and more. As such, artificial intelligence has also made its way into the doctor’s office and has the potential to revolutionize the health care system in a number of ways.
Machine learning can analyze algorithms and large data sets, identify patterns, and make predictions, assisting doctors in making more accurate diagnoses and treatments.
In the last 10 years, medical capabilities have advanced. Personalized medicine, tailoring medical treatments and interventions to individual patients based on their unique genetic makeup, lifestyle factors and environmental influences, is the standard of care.
AI systems can generate personalized recommendations to include not only medications but additional screening and lifestyle modifications. (iStock)
AI can help by considering individual patient characteristics, such as genetic profiles, medical history and even lifestyle factors. By analyzing a wide range of data, AI systems can generate personalized recommendations to include not only medications but additional screening testing and lifestyle modifications to promote overall wellness.
AI IS ALREADY SPEEDING UP DRUG DEVELOPMENT AND REDUCING ANIMAL TESTING
But it’s not only the patients that may potentially benefit from AI in health care.
Physicians are burnt out. The current health care system, filled with high emotional intensity, increased workload and decreasing reimbursements, has resulted in over 53% of doctors reporting burnout in 2023. One of the leading causes of burnout is the administrative burdens doctors are tasked with.
The future of medicine is an exciting and evolving field with new advancements in technology, scientific research and innovative approaches being produced every day.
Artificial intelligence has a place in health care and can improve many of the organizational deficiencies. However, the health care system is notorious for implementing lower cost, higher efficiency systems before proven beneficial for the individual. Caution must be taken when implementing AI into various aspects of the medical system to ensure patients are still receiving best practices with human consideration because people are not robots. They are human.
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