Image. Analyze. Document. If you to summarize your daily dermoscopy workflows would these be it? Or would it be closer to: Find missing patient chart. Image with standalone dermoscope. Manually add data to EMR. Re-add paperwork. See how AI is introducing a faster, smarter way to lead your practice.
The advent of cloud-based dermatology software has allowed for the implementation of streamlined data collection, storage and analysis. Stakeholders in the healthcare system can benefit from real-time sharing of updated information that drives improved diagnosis.
The utilization of cloud-based dermatology EMRs has brought numerous advantages to daily practices as waiting time reduction, streamlined communication and patient active involvement. These improvements have optimized workflows for a better patient and doctor experience.
Skin cancer early detection constitutes the biggest challenge of dermatology practices. The application of teledermatology and total body photography has brought great improvements in detecting the disease at early stages with higher survival rates and important saving in the public health systems.
Artificial intelligence is revolutionizing the concept of learning through the use of powerful algorithms capable of outperform human experts in a variety of disciplines. However, such success is reliant on the relatively unknown tasks of “humans in the loop” for data labelling.
Dermatology EMR systems are a crucial tool for data management in modern practices. Although patient data can be efficiently collected, stored and shared, the use of remote connectivity in cloud-based software is the key to effective patient-doctor communication.
The advent of communication systems has allowed for the development of teledermatology services, where more recently teledermoscopy is helping improve the accuracy of diagnoses empowering doctors and patients to have an active fight against skin cancer.