EHR Vendors can seamlessly integrate Samantha into their EHRs to speed up EHR documentation and reduce physician burnout
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 uses artificial intelligence technologies to analyze the narrative from a physician’s encounter with a patient and enter 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 transparently 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, reduce clicks, and ultimately drive a higher level of satisfaction of their user base, and help 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 effort. 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, M*Modal Fluency DirectTM, nVoq SayItTM, and others.
“With NoteSwift directly supporting some of the top EHRs in the market already, many specialty EHRs have been inquiring about how to port Samantha to their platform, which has driven the need for a development toolkit for Samantha,” says Wayne Crandall, President and CEO of NoteSwift. “Our team has created a simple set of APIs that allow EHR vendors to easily integrate the functions of Samantha into their workflow.”
NoteSwift was founded by practicing Neurologist Dr. Chris Russell to improve efficiency and productivity with his own practice’s electronic health records. Dr. Russell’s unique combination of expertise in medicine and software development helped him integrate his EHR with speech recognition software to go beyond narrative dictation.
In 2017, the NoteSwift team launched the next evolution of Dr. Russell’s vision, Samantha™ (Semi-AutonoMous Adaptive Note Transcription Heuristic Algorithm). Because Samantha™ enables providers to complete patient notes easily — intelligently identifying the structured data elements within the narrative text, automatically assigning all required codes, and seamlessly integrating with the EHR — providers can not only complete patient documentation faster, but also more accurately.