Transform Clinical Conversations.
Into Intelligent Medical Records.

Heivo AI transforms doctor-patient conversations into structured SOAP notes, standardized clinical terminology, and coding support, helping healthcare professionals spend less time documenting and more time caring for patients.

Human-reviewed
Workflow-first
Integration-ready
Clinical Consultation UI Patient Visit UI Generated SOAP Note UI
Designed around clinical workflows
AI assists. Clinicians decide.
Built to connect with healthcare systems

Clinical work shouldn’t stand between doctors and patients.

Clinical documentation still involves disconnected steps. Heivo turns doctor–patient conversations into medical transcripts and SOAP notes, then supports ICD-10, ICD-9-CM, and SNOMED CT mapping in one clinician-reviewed workflow.

01

Interrupted Doctor & Patient Connection

Typing and navigating screens during consultations can reduce eye contact and the doctor's focus on the patient.

02

Time-Consuming SOAP Documentation

After each conversation, doctor need to reorganize clinical information into complete, structured SOAP notes.

03

One-by-One Medical Code Mapping

Matching diagnoses, procedures, and clinical terms one by one takes additional time.

04

Fragmented Clinical Workflow

Transcription, SOAP creation, and medical code mapping often happen through separate steps or tools, creating repeated work.

Doctor in consultation

One Conversation. Connected Workflow.

See how HEIVO AI turns conversation into review-ready clinical intelligence.

Listen

Capture the clinical conversation naturally.

Listens as the consultation happens, allowing clinicians to stay focused on the patient while the conversation is captured in the background.

Feature Workflow Demo
Human by Design Consultation

Human By Design

Technology should make healthcare more intelligent, without making it less human.

Designed around the relationship that matters most: clinician and patient. Heivo AI works in the background to capture conversations, transform clinical information into SOAP documentation, and support standardized clinical terminology, while review, validation, and final decisions remain with the clinician.

Clinician-led
decisions

Review, edit,
approve.

Explainable
workflow

Clear source-to-
output context.

Explore Plans →

From Step-by-step to One Connected Workflow

The consultation stays the same.
The workflow around it changes.

Without Heivo AI

Before

A workflow that requires step-by-step documentation.

01
Listen & take notes

Clinicians divide attention between listening to patients and documenting clinical information.

02
Time-consuming clinical documentation

After each consultation, clinicians must reorganize information into structured SOAP documentation.

03
Additional clinical terminology mapping

Clinical information requires additional processing to align with standardized terminology and coding systems.

04
Fragmented clinical workflow

Transcription, SOAP documentation, and clinical coding happen across separate steps and tools.

With Heivo AI

After

One conversation.
One connected workflow.

01
Conversation captured automatically

Speech is converted into a clinical transcript while the consultation happens.

02
SOAP draft prepared

Relevant information is structured into Subjective, Objective, Assessment, and Plan.

03
Standardized clinical terminology mapped

Clinical information is mapped into standardized terminology and coding systems for accurate medical records.

04
Clinician reviews the final documentation

The clinician validates, edits, and approves the documentation before it becomes part of the medical record.

Built for the clinical ecosystem

Built for every layer of clinical care.

Creates value at different levels of healthcare, from helping clinicians document care to supporting more consistent workflows across clinics and hospitals.

Doctors

Spend less time documenting.
Focus more on patient care.

  • ✓
    Less time spent on documentation
  • ✓
    More focused consultations
  • ✓
    Review-ready clinical records
For Doctors

Integration

Strengthen the systems you already use.

HEIVO AI is designed to work alongside existing clinical systems, connecting patient and encounter data, clinical documentation, and standardized terminology without changing the way clinicians work.

SIMRS / RME Integration

Connect
Patient and encounter data flow seamlessly from your SIMRS/RME to Heivo AI.

Return
SOAP, ICD, and SNOMED CT outputs flow back into your existing SIMRS/RME.

Fit
Heivo AI works within your existing workflow, without disrupting clinician–patient care.

Secure Integration

Clinical data stays protected across system connections and data exchange.

Works Across Your Devices

  • PC / Laptop (Windows & macOS)
  • iPad & Tablet
  • Android & iOS
  • Wired & wireless microphones

Interoperability

Connect different systems so clinical data can move where it needs to.

Conversation
Heivo Intelligence
Clinical Review
SIMRS / RME

Trust is a product feature

Built for a domain where clarity, control, and accountability matter.

Designed to support clinical work without removing human oversight. AI-generated documentation and coding remain visible, editable, and subject to clinician review before they become part of the medical record.

Explore Plans →

AI prepares the record. Clinicians decide what moves forward.

Review Inspect AI-generated SOAP and coding suggestions.
Edit Correct or refine AI-generated documentation and coding before approval.
Approve Approve the final documentation before it becomes part of the medical record.

Product Metrics

Less time documenting.
More time available for care.

70-80%

less time spent on clinical documentation

One conversation.
One clinical workflow.

Transcript SOAP SNOMED CT ICD

Business Impact Estimate

What could recovered documentation time mean for your team?

Use a conservative 70% time-saving scenario to explore potential operational impact.

5
5
3 min
Estimated time potentially recovered
25 working days/month
70% Scenario
Per doctor / day
10.5m
potentially recovered
Per doctor / month
3.85h
potentially recovered
Across the team / month
19.25h
potentially recovered
Potential Operational Value
More clinical capacity

Recovered time can be redirected to patient care.

Less after-hours documentation

Give clinicians back working hours spent on documentation.

More consistent medical records

Standardized clinical documentation across consultations.

Flexible for your organization

Start with the workflow you need.
Scale when you're ready.

HEIVO AI can be introduced through an initial pilot and expanded based on organization size, clinical workflow, integration requirements, and deployment model.

Individual

For independent doctors

A personal Heivo AI subscription for clinicians who want faster, structured documentation without organizational setup.

Recommended starting point
Basic
  • Up to 20 recordings per day
  • Automatic SOAP notes
  • Standard generation speed
  • 1-year recording & history retention
  • Email support
  • SNOMED CT extraction
  • SIMRS / EMR integration
Pro
  • Up to 50 recordings per day
  • Automatic SOAP notes
  • Standard generation speed
  • 2-year recording & history retention
  • Email support
  • SNOMED CT extraction
  • SIMRS / EMR integration

Starting at

Rp 700.000 - 1.000.000 / month

Need more recording capacity?

Individual and Organization plans can add extra recording packs of 10, 20, or 30 recordings without immediately upgrading tiers.

Usage add-ons available

See Heivo in your workflow

Clinical intelligence that works around care, not the other way around.

Tell us about your clinical workflow. We'll explore where Heivo AI can support documentation, coding, integration, and clinician review within your organization.

Understand your workflow

Clinical setting, volume, current systems, and pain points.

Define the right pilot

Scope, clinicians, integrations, and success metrics.

Measure before scaling

Evaluate operational impact and clinician adoption.

Request a Heivo AI demo

Demo

Share a few details and we'll take it from there.

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Heivo AI listening to a clinical conversation