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.
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.
The implementation of SaaS systems to dermatology services has changed the paradigm of how care is experienced by doctors and patients. AI is now helping further transform such services to have better efficiency, adaptability and safety.
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.
The use of dermoscopy has signified a great advancement in dermatology. Future directions predict the standard utilization of mobile dermoscopes for patient self-examination as a powerful instrument for skin cancer early detection and higher survival rates.