Data democracy represents the new trend within data science analysis. Citizen data scientists are quickly becoming the link between what data analysis can yield and how it can best be utilized via a holistic understanding of the business behind it.
Health information privacy represents a crucial aspect of patient data handling in dermatology practices. As established by the New Zealand privacy code, cloud-based dermatology software must comply with all rules and regulations for the appropriate management of patient information.
Total body photography has become the preferred methodology for large scale study of potentially serious skin diseases such as melanoma. Despite current technical and operative challenges, this technique is labelled as the future for effective dermatology practices in the fight against skin cancer.
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.