Clinical Decision Support coupled with cost optimization will grow over the next ten years in light of AI and Amazon development. So what do I mean in a practical sense by this?
Say you are a patient with abdominal pain. Your doctor thinks you may have a gallstone, but it could also be a kidney stone or perhaps a bulging disc in your back among other conditions. A test would help your doctor diagnose you. But what test? It could be an ultrasound, CT, MRI, or a nuclear medicine study along with blood work. But what would be the best test for you given your medical history, past tests you've undergone and cost of the tests in the area?
This is way too much information for a busy doctor to analyze in a 15-minute office visit. Ahh, but there is an AI platform with all your past medical history and costs of local services Amazon has figured out. Your doctor, working in conjunction with the platform can enter relevant clinical information based on their physical exam and interstation with you to determine the optimal test to order to diagnose your condition. This would result in high-quality, cost-effective care to be delivered with the help of AI in collaboration with your doctor's input.
How does this change the job of a doctor? Well, it would make them more efficient and able to provide higher quality. They would need to learn how to interact more closely with an AI platform and recognize a stronger partnership with technology. As a result, decrease mental burden and job satisfaction would result. Ultimately, there could be lower rates of provider burnout and increased job satisfaction with more individuals wanting to enter medicine. This could help address our issues around limited access in light of an aging population requiring more services.