NoteSwift, Inc., Brings Machine Learning and Artificial Intelligence to EHR Charting
Summary
NoteSwift’s patent-pending Parsing and Dynamic Matching (PDM) technology allows physicians to dictate or type a narrative of the patient encounter without having to wade through layers of menu screens, navigate hundreds of mouse clicks and check boxes, or spend time looking up ICD10, SNOMED, and CPT codes. “Speech recognition is often cited as a way to get narrative information into the EHR, but that is only part of the solution,” explains NoteSwift VP of Research and Development Allan Stratton. “With our new approach, we take the recognized text from any speech recognition product and apply our proprietary PDM technology to provide a complete solution that specifically addresses and alleviates the challenges associated with patient charting.” NoteSwift’s PDM technology takes narrative input and parses and dynamically matches the data to discern the key elements of the stated phrases within the note. The data then is entered seamlessly into the EHR as if the check boxes, hundreds of mouse clicks, and other manual entry tasks were performed by the user. “The promise of NLP and machine learning technologies are advancing, but have yet to be applicable to the challenge of entering patient notes — until now,” says NoteSwift President and CEO Wayne Crandall.