NoteSwift Announces Availability of Samantha Virtual Assistant Development Toolkit

NoteSwift, Inc., the leader in EHR Virtual Assistants, specializing in easing the burden of entering patient documentation, is announcing the availability of Samantha as an API toolkit for EHR vendors. Samantha can be seamlessly integrated into users’ workflow to help alleviate the frustration of patient charting. There are a myriad of studies defining the dissatisfaction and challenges with entering patient documentation, and the burden of administrative tasks driven by EHR use, which is leading to physician burnout.

Samantha’s technology uses artificial intelligence to analyze the narrative from a physician’s encounter with a patient and enters the complete details into the EHR automatically. Using any medical speech recognition product, a physician simply dictates the narrative of the patient encounter, and then Samantha’s intelligence goes to work. She parses the text and identifies the structured data elements, ensures the terms said are entered as the EHR is expecting, and assigns all required coding. Samantha then enters all of the information into the various fields and layers of menus and check boxes of the EHR — all from a single screen, and with just a few clicks.

The new Samantha Software Development Kit (SDK) gives EHR vendors a sophisticated new tool to help alleviate the burden of entering patient documentation, decrease the time spent on entering patient notes, and reduce clicks. Samantha is easy to use, driving higher levels of satisfaction for users, ultimately helping ensure license annuities. It is the ideal solution for EHR companies who want to give their users access to an artificially intelligent virtual assistant with minimal up-front cost and development efforts.

Product capabilities include: 

•     A simple-to-use API enabling EHR vendors to integrate patient note entry functions into the EHR, which can support discrete and structured entry into the note, as well as utilizing other automation methodologies the EHRs have already implemented such as templates, item sets, and macros.
•     Cloud services or on-premises use fitting the existing deployment model of the EHR.
•     Medical speech recognition agnostic, allowing health networks and practices to use their previous investments in products such as Nuance Dragon® Medical One, Nuance Dragon Medical Practice Edition, M*Modal Fluency Direct, nVoq SayIt, and others.