Guided clinical documentation that turns physicians’ findings into complete, coded medical notes

LexeNotes, from Lexeme Technologies, Inc., is a clinical documentation platform being developed to help physicians create structured medical notes without writing everything from scratch. As clinicians select findings through guided questions, the software turns each response into clear note language. It also generates ICD-10 diagnosis and CPT billing codes, and sends the finished note to the EMR in one click.

The platform is built on the “lexeme method”, a note-writing approach tested in a published, IRB-approved pilot trial. The initial focus is urgent care, where clinicians document a high volume of visits and fast, complete notes could improve both workflow and record quality.

Better Notes Start With Better Prompts.
Instead of transcribing a conversation and interpreting it afterwards, LexeNotes uses a library of clinical phrases to guide each question and build the note as answers are selected. Every note is structured and coded from the start, and the team plans to expand the phrase library over time, including through AI-assisted extraction from existing clinical records.
Built on Published Clinical Research.
LexeNotes is based on the lexeme method, which turns selected findings into well-formed medical language. In a published pilot trial, lexeme-generated notes averaged 80 words per minute, twice as fast as the typical clinician can type. They were also more complete than conventional clinic notes (88% vs. 62%) and had fewer typographical and grammatical errors. LexeNotes plans to build on that evidence in everyday urgent-care settings.
Capture the Reason Behind Every Decision.
LexeNotes prompts clinicians to record the findings and reasoning behind treatment decisions as they document a visit, which aims to reduce missing context and give practices a clearer record when claims or documentation are reviewed. The proposed business model links fees to value clinics can verify, such as time saved and fewer documentation-related issues. Early clinic pilots are intended to test both product performance and willingness to pay.
Better Notes Start With Better Prompts.

Instead of transcribing a conversation and interpreting it afterwards, LexeNotes uses a library of clinical phrases to guide each question and build the note as answers are selected. Every note is structured and coded from the start, and the team plans to expand the phrase library over time, including through AI-assisted extraction from existing clinical records.

Built on Published Clinical Research.

Instead of transcribing a conversation and interpreting it afterwards, LexeNotes uses a library of clinical phrases to guide each question and build the note as answers are selected. Every note is structured and coded from the start, and the team plans to expand the phrase library over time, including through AI-assisted extraction from existing clinical records.

Capture the Reason Behind Every Decision.

Instead of transcribing a conversation and interpreting it afterwards, LexeNotes uses a library of clinical phrases to guide each question and build the note as answers are selected. Every note is structured and coded from the start, and the team plans to expand the phrase library over time, including through AI-assisted extraction from existing clinical records.

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“The note creation rate averaged 80 wpm, twice as fast as the typical clinician can type.”

Pilot trial of semi-automated medical note writing using lexeme hypotheses, International Journal of Medical Informatics, 2020

The Team

Donald Macfarlane, MD, PhD

A physician-scientist and Emeritus Professor of Internal Medicine–Hematology at the University of Iowa, where he practiced for more than 40 years. Donald trained in medicine in London and has founded and sold two companies, Iowa Biotechnology Company and Cyguin Inc. Having written around 50,000 medical notes himself, he created the lexeme method and LexeNotes to make clinical documentation faster and more complete.

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