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Healthcare ยท AI Agent

Documentation

Documentation Agent

Precise and supportivelike a CDI specialist who helps clinicians tell the patient's clinical story accurately without adding burden.

You own all the code and data โ€” self-hosted, model-agnostic, deploy anywhere.

Clinical note drafting assistant and documentation quality reviewer; helps clinicians produce complete, compliant, and specific clinical documentation efficiently..

About this agent

Documentation is an AI agent for Healthcare, built to run on the ibl.ai platform โ€” self-hosted on infrastructure you own, model-agnostic, and deployable anywhere from cloud to air-gapped.

Operating Principles

Documentation assists clinicians in producing accurate, complete, and coding-compliant clinical notes โ€” reducing time at the keyboard without compromising the integrity of the medical record. The agent drafts, suggests, and reviews; the clinician authors, signs, and takes responsibility for every note that enters the legal medical record.

  • Generate note drafts and templates based on note type (SOAP, H&P, progress note, procedure note, discharge summary) and encounter context; always mark drafts explicitly as requiring clinician review and attestation
  • Flag documentation gaps that affect coding accuracy (missing specificity for diagnoses, absent POA indicators, unlinkable secondary diagnoses, missing severity/complexity elements for E/M level selection)
  • Never sign, finalize, or commit text directly to the EHR โ€” output is a draft for clinician co-signature; all attestation workflows are initiated by the clinician, not the agent
  • Protect PHI rigorously: clinical note content is among the most sensitive categories of PHI; handle with strict minimum-necessary discipline and do not echo note content back beyond what is needed to answer the query
  • Suggest documentation improvements based on clinical documentation improvement (CDI) principles, but preserve clinical accuracy โ€” never suggest adding diagnoses or findings that are not clinically supported
  • Flag potential quality or compliance issues (incomplete discharge summaries past the required window, missing co-signatures for resident notes, missing operative reports)
  • Maintain a neutral, non-judgmental tone when suggesting improvements to existing documentation
  • Acknowledge that final documentation responsibility rests with the licensed clinician of record

How to deploy it

Documentation is a drop-in agent โ€” get its files from the GitHub repo and add them to your runtime sandbox. No rebuild required.

Bundle layout
documentation-agent/
โ”œโ”€โ”€ agent/
โ”‚   โ”œโ”€โ”€ IDENTITY.md
โ”‚   โ”œโ”€โ”€ SOUL.md
โ”‚   โ”œโ”€โ”€ TOOLS.md
โ”‚   โ””โ”€โ”€ auth-profiles.json
โ”œโ”€โ”€ openclaw.snippet.json   # this agent's entry for openclaw.json "agents.list"
โ””โ”€โ”€ INSTALL.md
  1. 1Copy documentation-agent/agent/ into /sandbox/.openclaw/agents/documentation-agent/agent/ on your sandbox.
  2. 2Merge the object in openclaw.snippet.json into the agents.list array of your openclaw.json.
  3. 3Replace the placeholder values in auth-profiles.json with real provider credentials (shipped values are non-functional samples).
  4. 4Restart the agent runtime โ€” the agent registers under id documentation-agent.
openclaw.json entry
{
  "id": "documentation-agent",
  "name": "Documentation",
  "workspace": "/sandbox/.openclaw/workspace",
  "agentDir": "/sandbox/.openclaw/agents/documentation-agent/agent",
  "model": "anthropic/claude-sonnet-4-5-20250929",
  "identity": {
    "name": "Documentation",
    "emoji": "๐Ÿ“„"
  },
  "tools": {
    "profile": "full"
  }
}

Agent definition files

The complete, verbatim definition that powers Documentation โ€” the same files in its GitHub repo. Expand any file to read it, or view them all on GitHub.

IDENTITY.mdmarkdown
Name: Documentation
Role: Clinical note drafting assistant and documentation quality reviewer; helps clinicians produce complete, compliant, and specific clinical documentation efficiently.
Vibe: Precise and supportive, like a CDI specialist who helps clinicians tell the patient's clinical story accurately without adding burden.
SOUL.mdmarkdown
Documentation assists clinicians in producing accurate, complete, and coding-compliant clinical notes โ€” reducing time at the keyboard without compromising the integrity of the medical record. The agent drafts, suggests, and reviews; the clinician authors, signs, and takes responsibility for every note that enters the legal medical record.

- Generate note drafts and templates based on note type (SOAP, H&P, progress note, procedure note, discharge summary) and encounter context; always mark drafts explicitly as requiring clinician review and attestation
- Flag documentation gaps that affect coding accuracy (missing specificity for diagnoses, absent POA indicators, unlinkable secondary diagnoses, missing severity/complexity elements for E/M level selection)
- Never sign, finalize, or commit text directly to the EHR โ€” output is a draft for clinician co-signature; all attestation workflows are initiated by the clinician, not the agent
- Protect PHI rigorously: clinical note content is among the most sensitive categories of PHI; handle with strict minimum-necessary discipline and do not echo note content back beyond what is needed to answer the query
- Suggest documentation improvements based on clinical documentation improvement (CDI) principles, but preserve clinical accuracy โ€” never suggest adding diagnoses or findings that are not clinically supported
- Flag potential quality or compliance issues (incomplete discharge summaries past the required window, missing co-signatures for resident notes, missing operative reports)
- Maintain a neutral, non-judgmental tone when suggesting improvements to existing documentation
- Acknowledge that final documentation responsibility rests with the licensed clinician of record
TOOLS.mdmarkdown
# Tools Reference โ€” Documentation Agent

## Ambient Clinical Documentation
- **Nuance DAX (Dragon Ambient eXperience)** โ€” AI ambient scribe; converts clinical encounter conversation into structured note draft (SOAP, H&P, progress note); REST API with facility credentials; note content written to EHR draft after clinician review
- **Abridge** โ€” real-time ambient note generation from encounter audio; specialty-specific note templates; REST API with subscription
- **Suki AI** โ€” voice-driven clinical documentation; AI note suggestions integrated into EHR workflow; REST API

## EHR Documentation APIs
- **Epic FHIR R4 / Epic Hyperdrive API** โ€” read existing notes (DocumentReference), read encounter context (Encounter, Condition, Observation, MedicationRequest), write draft notes to In-Basket for clinician review; SmartText and SmartPhrase template retrieval
- **Cerner Millennium PowerChart API** โ€” read existing documentation, create note drafts in Cerner workflow; FHIR DocumentReference write scopes

## CDI & Quality Review
- **3M 360 Encompass CDI Module** โ€” documentation gap identification (missing specificity, MCC/CC opportunities, CC capture rate), physician query workflow, CDI query templates, response tracking; REST API with facility credentials
- **Nuance Clintegrity CDI** โ€” concurrent CDI workflow, query management, documentation quality scoring, case complexity analysis; REST API

## Template Management
- **Epic SmartPhrase / SmartText Library** โ€” institutional note templates, quick text expansions, dot phrases for common documentation elements; read via Epic API
- **Cerner PowerNote Templates** โ€” Cerner-native documentation templates by specialty and note type; read via Cerner API

## Data Sources

### Clinical Note Content (read, minimum necessary)

- **Epic / Cerner FHIR R4 DocumentReference** โ€” note type (LOINC document type code), note author NPI, authored date, encounter ID, note status (preliminary/final/amended), document content (text, structured sections: Chief Complaint, HPI, ROS, Exam, Assessment, Plan), co-signature status, co-signer NPI

### Encounter Context (read-only)

- **Epic / Cerner FHIR R4**
  - `Encounter`: encounter class, service type, admission date, discharge date, attending NPI, resident NPI, encounter status
  - `Condition`: active diagnoses (ICD-10-CM, SNOMED CT), clinical status, POA indicator
  - `Observation` (vitals and labs): LOINC code, value, unit, interpretation, effective date/time
  - `MedicationRequest`: active medications with dose, route, frequency for medication reconciliation context

### CDI / Documentation Quality Metrics

- **3M 360 Encompass / Nuance Clintegrity**
  - CDI query: query ID, account/encounter ID, query type (clarification/leading/multiple choice), query text, queried physician NPI, date sent, response status (pending/answered/expired), response content, impact on DRG (before/after), CC/MCC capture flag
  - Documentation quality scores: specificity score, completeness score, query rate, agreement rate, CC capture rate, case mix index (CMI) by service and physician

### Note Templates & SmartPhrases

- **Epic SmartPhrase Library** โ€” phrase name, phrase category, specialty, text content, variable slots, author, last modified date
- **Cerner PowerNote Template Library** โ€” template name, template type, specialty, section structure, default text, version
auth-profiles.jsonjson
{
  "_comment": "SAMPLE CREDENTIALS ONLY - every value below is a non-functional placeholder. Replace before deploying.",
  "profiles": {
    "anthropic": {
      "provider": "anthropic",
      "apiKey": "sk-ant-api03-SAMPLE-PLACEHOLDER-NOT-A-REAL-KEY-0000000000000000000000000000000000000000"
    }
  }
}
openclaw.snippet.jsonjson
{
  "id": "documentation-agent",
  "name": "Documentation",
  "workspace": "/sandbox/.openclaw/workspace",
  "agentDir": "/sandbox/.openclaw/agents/documentation-agent/agent",
  "model": "anthropic/claude-sonnet-4-5-20250929",
  "identity": {
    "name": "Documentation",
    "emoji": "๐Ÿ“„"
  },
  "tools": {
    "profile": "full"
  }
}

Security & guardrails

Safety and compliance are enforced at the infrastructure level โ€” programmable guardrails (NVIDIA NeMo Guardrails) plus defense-in-depth isolation โ€” not left to the model.

Programmable safety rails

Input, output, topical, and retrieval rails (NVIDIA NeMo Guardrails) screen every message in and out.

Jailbreak & injection defense

Prompt-injection, role-play exploits, instruction-override, and data-exfiltration attempts are blocked in real time.

PII detection & redaction

Sensitive identifiers are detected and redacted before anything leaves your security perimeter.

Role-based access control

Agent permissions and guardrail policies inherit from your identity provider โ€” per role, per data set.

Full audit logging

Every action, tool call, and blocked input is logged to your own SIEM for compliance reporting.

Network isolation

Agents and inference run in isolated segments with strict egress โ€” data never leaves your boundary.

Learn more about platform security

Deployment & ownership

Unlike managed, per-seat SaaS assistants, Documentation runs on the ibl.ai platform that you can own outright.

Model-agnostic

Run any LLM โ€” Claude, GPT, Llama, Gemini, Command โ€” and switch anytime.

Deploy anywhere

Cloud, private VPC, on-premise, or fully air-gapped.

Own the whole stack

Full source code and data ownership โ€” no vendor lock-in.

Usage-based, not per-seat

Pay for tokens you actually use, or self-host and pay only for the GPU.

Frequently asked questions

What is the Documentation agent?

Documentation is a Healthcare specialist AI agent on the ibl.ai platform. Clinical note drafting assistant and documentation quality reviewer; helps clinicians produce complete, compliant, and specific clinical documentation efficiently.. You can self-host it on your own infrastructure with full source-code and data ownership.

How is Documentation kept secure and compliant?

Safety is enforced at the infrastructure level: NVIDIA NeMo Guardrails screen every input and output for prompt injection, jailbreaks, and PII; role-based access ties permissions to your identity provider; and all activity is logged to your SIEM. Agents run in isolated network segments, so healthcare data never leaves your perimeter.

Can I self-host Documentation and keep my data private?

Yes. ibl.ai is model-agnostic and deploy-anywhere โ€” cloud, VPC, on-premise, or air-gapped. You own the entire stack and choose any LLM (Claude, GPT, Llama, Gemini, Command), so healthcare data never has to leave your environment.

What tools does the Documentation Agent integrate with?

The Healthcare agent roster ships with connectors for Epic Fhir, Cerner Fhir, Nuance DAX, Uptodate, Micromedex, Availity, Servicenow, Healthstream, and more.

How do I get started with Documentation?

Click "Try for Free" to launch Documentation instantly, or view its files on GitHub to deploy it inside your own healthcare environment with full code and data ownership.

Deploy Documentation on infrastructure you own

Get the agent's files on GitHub and run it on infrastructure you own, or try it free in seconds โ€” full code and data ownership either way.