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.

 

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