Clinical conversation capture
The workflow can capture and transcribe in-person visits or visits conducted through telemedicine. In initial demonstrations, use synthetic content; real data requires the governance safeguards described on this page.
Zello Life use case
Evaluate names, doses, and negations before final clinical approval
Use a demonstration with a synthetic script to observe how Zello Life captures the conversation, organizes an editable draft, and keeps the final decision with the physician responsible for the patient’s care.
- Editable drafts
- Professional review
- Privacy-aware workflow
In practice
What changes in the care workflow
Useful features reduce repetitive work while professionals retain control of the final record.
Editable drafts
AI organizes the context into drafts of clinical documents that can be reviewed and corrected before the decision to incorporate them into the medical record.
Specialty-specific templates
The workflow includes specialty-specific clinical templates for structuring the draft. The template does not automatically confirm names, doses, or clinical decisions.
Review before release
The workflow keeps the content as an editable draft so the professional can check, correct, and approve the final version before saving, exporting, or sharing it.
Safe workflow
From configuration to an approved version
Every step provides clear evidence for a physician or manager to verify before moving ahead.
- 1
Start with a synthetic test
In a demonstration or initial pilot, use cases without patient data that include similar names, numbers, units, frequencies, and negations.
- 2
Define the gate for real data
Before using real data, document the applicable legal basis, transparency to the patient, purpose, retention periods, access profiles, disposal, and the responsibilities of those involved in data processing. This is a minimum operational boundary, subject to legal and regulatory assessment of the case.
- 3
Generate the draft
Use the synthetic script to capture the conversation and have AI organize the context in the selected clinical template.
- 4
Compare it with the script
The physician responsible for the patient’s care compares the draft with the synthetic conversation and identifies omissions, substitutions, incorrect attributions, and excerpts that need correction.
- 5
Correct and validate
The final version should be saved, exported, shared, or incorporated into the medical record only after review, corrections, and validation by the responsible clinician. Administrative management may monitor the process but may not replace that decision.
Who it fits
Where the benefit appears
- Physicians who want to inspect medication mentions before completing documentation.
- Clinics evaluating AI support with an explicit gate for clinical review and validation.
- Managers who coordinate testing, training, and governance without assuming approval of the medication content.
- In-person or telemedicine workflows that generate editable clinical documents.
Important limits
What should not be automated blindly
- Zello Life does not diagnose, prescribe, or confirm the therapeutic appropriateness of medications or doses.
- The AI output is an editable draft and does not represent automatic detection or validation of medication information.
- The physician responsible for the patient’s care must review the content before deciding whether it will be incorporated into the medical record.
- A synthetic demonstration does not establish performance across every specialty, environment, accent, device, or clinical situation.
- Product availability does not establish legal or regulatory compliance; use with real data requires assessment of the specific case.
Frequently asked questions
Before using it routinely
Use these answers as a starting point and validate the workflow against your operation's rules, contracts, and needs.
Does Zello Life automatically confirm names and doses?
No. The product organizes the context into an editable draft. Confirming names, values, units, and meaning depends on review by the physician responsible for the patient’s care.
Can this workflow be used for in-person visits and telemedicine?
The workflow can capture and transcribe conversations in both settings. This alone does not authorize the use of real data: the organization must first establish governance conditions and the applicable LGPD analysis.
Can I correct the document before saving it?
Yes. The draft is editable and must be corrected before it is saved, exported, shared, or incorporated into the medical record.
Who approves the medication content?
The physician responsible for the patient’s care reviews the content and decides whether it will be incorporated into the medical record. Administrative organization of the pilot does not replace that final medical decision.
Does this page claim automatic compliance with the LGPD?
No. Before any use involving real data, the organization must assess and document the legal basis, transparency, purpose, retention, access, disposal, and responsibilities, in addition to other requirements applicable to the case.
How should this use case be evaluated in a demonstration?
Use entirely synthetic spoken content with similar names, units, decimals, frequencies, and negations. Compare each draft with the script and document the corrections needed under each axis of the matrix.
Test in a controlled scenario
Take a fictional visit from audio to a reviewed document.
Configure a template, validate capture, and check every passage before expanding use to the team.