AI is driving the latest advancements in many fields, including dermatology. Despite the great ability of AI algorithms to perform complex tasks with similar accuracy as professional experts, the emotional and relational elements of human interaction render patient-doctor relationships imperative.
It's National Skin Cancer Action Week in Australia. With 2 in 3 Australians diagnosed in their lifetime, it's important to educate people on the importance of skin cancer early detection. But where exactly are patients turning to seek medical support, and most importantly, are they receiving it?
Dermatology EMR system has become the rule rather than the exception in modern practices. However, challenges brought by increased skin health demands are shaping these systems into sophisticated cloud-based hubs able to provide efficient and accurate tools for skin cancer early detection.
The utilization of telemedicine services has grown exponentially, particularly in underserved areas. Teledermatology has proved an efficient system to offer care with shorten waiting times, while the addition of teledermoscopy imaging can improve efficacy in the accuracy of the diagnostic process.
Dermatology EMRs have brought many positive changes to data management and operative workflows. However, challenges about their ultimate efficacy still remain. Newly developed intelligent software are breaking barriers to achieve expected performance levels.
Time-sensitive diseases like skin cancer and shortage in active dermatologists urge for doctors’ full involvement in patient care. Intelligent dermatology software offers a solution by allowing trained non-medical staff to focus on administrative tasks, leaving patient management to physicians.
Artificial intelligence in dermatology is being introduced throughout every aspect of the industry, from dermoscopy all the way to predictive analytics. Amidst these astounding advances, which ones are set to have the greatest impact on dermatologists, their practice and their patients?