Protected data handling
Clinical samples are handled in a controlled ConductSpeech workflow designed to limit unnecessary exposure and keep sensitive files out of scattered local folders.
HIPAA-ready language sample analysis
Clinical speech data handled with privacy at the center.
ConductSpeech gives SLP teams modern AI-assisted analysis while keeping privacy, access control, and protected data handling at the center of the workflow.
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Designed for clinical review
Plain-language controls for care teams
- Clinical workflow
- Upload, transcribe, score, and review in one place
- Access
- Team permissions for clinicians and administrators
- Identifiers
- Supports participant, student, or clinic IDs
- Retention
- Saved sessions can be deleted or reviewed by request
- Review
- Compliance walkthrough available before rollout
Built around practical HIPAA safeguards
The platform is designed for the way speech-language teams actually work: recording samples, reviewing transcripts, calculating metrics, and preparing reports while keeping sensitive information easier to manage.
Privacy-first speech workflow
HIPAA workflows are designed so clinical audio is processed through ConductSpeech's protected analysis path rather than public, consumer-facing transcription tools.
Secure access
Users sign in through secure sessions, and team access can be managed around the people who need to review, score, or administer language samples.
Team-aware permissions
District and team accounts can separate admin and clinician responsibilities, helping organizations manage access around real caseload workflows.
Customer-controlled identifiers
Teams can use participant IDs, student IDs, or clinic identifiers instead of putting names directly into transcripts or exported files.
Compliance review support
For clinics, districts, and research teams, we can walk through the data flow, security posture, and agreement requirements before production use.
Account-tied work
Saved sessions, study sets, and exports are organized around signed-in user workflows.
Minimum necessary details
Teams can use participant, student, or clinic IDs instead of placing names in transcripts.
Reviewable outputs
Clinicians can inspect transcript edits, analysis results, and export readiness before sharing.
Deletion support
Saved sessions can be deleted by the user or handled through a support request.
Protected workflow
What happens to a sample
ConductSpeech keeps the workflow understandable for clinicians and reviewable for compliance teams.
1
Add an authorized sample
Use a recording, transcript, or saved session that your team is allowed to analyze.
2
Review before relying on results
Confirm speaker turns, identifiers, and transcript edits before using the analysis.
3
Use controlled outputs
Reports, study sets, and exports stay tied to your ConductSpeech account workflow.
4
Keep only what you need
Use participant IDs where possible and delete saved work when it is no longer needed.
HIPAA questions
Is ConductSpeech HIPAA certified?
HIPAA does not offer an official certification. ConductSpeech is built for HIPAA-regulated workflows with privacy-centered data handling, secure access, and a documented compliance review path.
Can my clinic or district use ConductSpeech with PHI?
Organizations that require PHI handling should complete a compliance review with us first. We can walk through the data flow, security controls, and agreement requirements before production use.
Does ConductSpeech use public AI tools for clinical audio?
No. HIPAA workflows are designed for protected clinical analysis, not general-purpose transcription or chat tools. We can review the workflow and agreement path with your compliance team.
Can we de-identify samples?
Yes. ConductSpeech works well with participant IDs or caseload IDs. We recommend using the minimum necessary information in transcripts and reports.
Compliance support
Need a privacy or security review?
We can walk your team through account access, sample handling, deletion support, and the agreement path before production use.