Artificial intelligence (AI) continues to make an impact in healthcare. MIT researchers have developed an AI electronic health record (EHR) system that combines machine learning and human-computer interaction to help physicians speed up the process of data access and ease clinician burden. EHR Intelligence brought this information to us in their article, “Artificial Intelligence EHR System May Speed Up Physician Processes.”
Divided interfaces and data entry procedures may cause physicians to spend more time searching for health records and less time interacting with patients. Interoperability across EHRs continue to be a challenge.
The researchers have plans to further the machine learning algorithms to better highlight relevant parts of a medical record, as well as develop the system to help primary care physicians as well. This first version was targeted at emergency rooms.
They also see the value in creating an EHR system that physicians can contribute knowledge to, which would help provide more information for all users.
Making the content findable is important to knowledge management, regardless of the industry. Access Innovations is one of a very small number of companies able to help its clients generate ANSI/ISO/W3C-compliant taxonomies and associated rule bases for machine-assisted indexing.
Melody K. Smith
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
