- Enterprise h2oGPTe transcribes consultation audio and drafts a structured clinical summary in the sections your record uses, for a clinician to review and sign.
- Every summary is grounded in the transcript, so a clinician or supervisor can check each statement against what was said.
- Clinical supervisors can ask questions across many recorded consultations, such as which patients need a follow-up, and get cited answers.
- Enterprise h2oGPTe runs on-premises, air-gapped, private cloud or cloud, so consultation audio and protected health information stay inside the boundary you choose.
Documentation takes the time that care needs
Your clinicians finish a consultation and then write it up. Across general practice, nursing consultations, telehealth and patient education, that write-up is repeated hundreds of times a day, often after hours.
Your supervisors and administrators have a second problem: to know which consultations need follow-up, someone has to listen to recordings or read free-text notes one by one. Anything that touches the record has to be accurate and reviewable, or it will not pass your clinical governance review.
How clinical dictation and summarization works
Enterprise h2oGPTe ingests audio into a collection, transcribes it, and uses retrieval-augmented generation to write summaries and answer questions from the transcript.
Step 1: capture the consultation audio
The clinician records the consultation or a dictated note in the tools already in use.
Step 2: transcribe
Speech-to-text converts the audio into a transcript, and natural language processing finds the clinical content: symptoms, medications and instructions.
Step 3: draft the structured summary
A large language model writes the summary in the sections your record needs, from the transcript only, formatted for your documentation template.
Step 4: review, correct and sign
The clinician checks the draft against the source, corrects it and signs it. Nothing enters the record without that review.
Step 5: ask across consultations
Supervisors can chat with a collection of consultations and ask which patients need follow-up care, with references behind every answer to help catch hallucinations.
Try it
One working demo shows a recorded consultation turned into a structured clinical summary, using a sample recording of a clinician dictating notes during a visit. It is sample data, not a real patient record.
Proof
H2O can be used to transcribe and summarize clinical consultations with every statement grounded in the recording, and the demo shows the workflow on sample audio. No healthcare customer result for this use case is published yet.