Artificial intelligence has been commonly used in the business world for its basic automation. Applied to pathology and dermatology, AI’s power can analyze patient images as a clinical decision support tool while connecting medical workers to create an optimized patient healthcare ecosystem.
Some nations’ implementation strategies have proven to be drivers in overcoming technical and regulatory obstacles when applying teledermatology in their health system. The U.S. and other nations should attempt to imitate and build upon these methods to facilitate further global adoption.
Medical professionals, particularly dermatologists, have been combining their services with telecommunication for nearly a quarter of a century. Although valued for its efficiency, in some areas teledermatology approaches still face numerous barriers which have slowed its widespread adoption.
Technology has infiltrated every aspect of our lives. However, what may be welcomed as valuable to some is seen as an overwhelming challenge for others. How can technologies like EMRs, telemedicine, etriage, and apps support patient care when patients and/or doctors don't know how to use them?
With a projected value of $5.2 billion by 2020, telemedicine is becoming an essential part of digital healthcare. To better understand this growing need, this article investigates the results of telemedicine and associated services (teledermoscopy software & mobile dermoscopy) in healthcare.
Nearly 30% of healthcare execs say telemedicine services are the most promising digital health trend in 2018. Learn why teledermoscopy software earned the top of the list, along with how it is being designed to work with other promising trends like artificial intelligence (AI) and interoperability.
Built on a foundation of streamlining care and increased accessibility, teledermoscopy services such as DermEngine have become a popular example of a service that alleviates some of the many pressures found in the dermoscopy industry (such as dermatologist shortages and long patient wait times).