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Three Ways A.I. is Improving EHR Performance

NoteSwift CEO Wayne Crandall discusses “Three Ways A.I. is Improving EHR Performance” on Healthcare IT Today this week.

From the article:

“Let’s be honest — we can all see the immense promise of a healthcare world fully connected through EHR systems, but first (and even second) generations of EHR software have not yet achieved that promise. Many practices have had the opposite experience; instead of benefits and promises, their EHR systems have been frustrating, cumbersome, and difficult to manage.

But don’t give up! Advancements in artificial intelligence are rapidly improving the ability of EHRs to become more accurate, more user-friendly, and more connected.

Here are three major ways artificial intelligence is improving the world of EHR:

  1. Advances in Voice Dictation for Note Entry

Voice dictation is already a valuable tool for many doctors to make EHR entry take less time — in fact, 62% of doctors already use voice dictation software to assist with their EHR entry, and nearly another 20% have plans to add voice dictation to their workflow in the coming year. Natural Language Processing (NLP) continues to make voice dictation more accurate and more useful for physicians and staff.

  1. Structured Data Elements

Long the Achilles heel for EHR entry, structured data elements are the vital data formatting structure that allows practices to use their EHRs to achieve Meaningful Use and participate in HIE requirements. According to many researchers, unstructured data is the cause of much of the adoption and transition pain practices feel around EHR use. Many practices simply dump old data into their new EHRs, which both fails to meet MU requirements and reduces the physician’s ability to actually use the data to improve patient care. A.I.-powered solutions such as Samantha, the real-time EHR transcriptionist from NoteSwift, are using artificial intelligence to turn dictated patient narratives into structured data at the time of entry.

  1. Heuristic Learning and Clinician Review

A recent study noted that there is currently a 7.4% error rate in voice dictation data entry when not supported by software optimization and clinical review tools. Thankfully, artificial intelligence solutions are rapidly improving the accuracy of dictation while also offering clinicians more robust tools for quickly and effectively reviewing and approving EHR entries. Samantha from NoteSwift features A.I.-powered heuristic learning technology that improves clarity and accuracy of the EHR entry every time a physician uses the solution. So, the more you use it, the better it performs.”

Read the full post on Healthcare IT Today.

Ready to see how Samantha’s A.I.-powered technology saves physicians 6-8 hours a week over traditional documentation methods? Contact us to schedule a live demonstration of Samantha, the real-time EHR transcriptionist.

 

NoteSwift Nominated for Speech Technology People’s Choice Awards 2019

NoteSwift is proud to be nominated by Speech Technology Magazine for their 2019 People’s Choice Awards.

NoteSwift is nominated in two categories for our revolutionary, real-time EHR Transcriptionist, SamanthaTM:

  • “Artificial Intelligence / Machine Learning / Natural Language,” and
  • Virtual Assistants”

Read more

NoteSwift, Inc., Announces Availability of Samantha™ Virtual Assistant Development Toolkit

EHR Vendors can seamlessly integrate Samantha™ into their EHRs to speed up patient documentation and reduce physician burnout

Boston, Mass. — June 20, 2018 — 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 award-winning 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 seamlessly 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.

“With NoteSwift directly supporting some of the top EHRs in the market, 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.”

About NoteSwift 
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 late 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.

For more information, email samantha@noteswift.com.