Medical Record Structuring Assistant for Openclaw

A clinical documentation tool that transforms raw outpatient and inpatient notes into professional, structured medical summaries.

isaacloi1995-dot
v1.0.0
Mar 6, 2026
0
862
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install medical-note-assistant

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install medical-note-assistant using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Medical Record Structuring Assistant?

The Medical Record Structuring Assistant is a specialized tool designed to alleviate the documentation burden on healthcare professionals. By processing raw text from outpatient visits or inpatient admissions, it automatically organizes information into standard clinical frameworks. This skill is a vital component of the Openclaw Skills library for those working in medical informatics and clinical practice.

The skill excels at identifying clinical nuances within unstructured data, ensuring that critical information like physical exam findings and assessment plans are never overlooked. By utilizing this within the Openclaw Skills ecosystem, practitioners can maintain higher documentation standards while focusing more on patient care.

Medical Record Structuring Assistant Use Cases

  • Automating the creation of SOAP notes from raw clinician observations.
  • Summarizing complex inpatient histories for efficient shift handovers.
  • Extracting specific physical exam findings from emergency room triage notes.
  • Generating structured medication and treatment plans for patient discharge summaries.

How Medical Record Structuring Assistant Works

  1. The user provides raw text input containing patient symptoms, history, and examination results.
  2. The skill parses the text using specialized clinical entity recognition to identify key medical components.
  3. It categorizes data into sections such as Chief Complaint, History of Present Illness (HPI), and Physical Exam Findings.
  4. The AI logic generates an Assessment and Plan based on the extracted clinical context.
  5. A structured summary is outputted in a standardized format ready for EMR integration.

Medical Record Structuring Assistant Setup

To get started with this medical assistant within Openclaw Skills, follow these steps:

# Install the skill via the Openclaw CLI
openclaw install medical-record-structuring-assistant

# Configure your clinical environment settings
openclaw configure medical-record-structuring-assistant

Ensure your environment has access to a secure LLM provider to handle sensitive medical data processing.

Medical Record Structuring Assistant Data Schema & Taxonomy

The skill organizes clinical data into a structured taxonomy for better readability and data portability:

Section Content Description Data Type
Chief Complaint The primary reason for seeking medical care String
History (HPI) Chronological development of the current illness Text
Physical Exam Detailed findings from patient examination List
Assessment Clinical interpretation and diagnosis List
Plan Treatment, further tests, and follow-up steps List
Medication Suggested pharmacological interventions List

Medical Record Structuring Assistant Advanced Features

  • Support for diverse specialties including Emergency Medicine, Internal Medicine, and Family Practice.
  • Automated extraction of vital signs and laboratory values into tabular formats.
  • Integration hooks for EHR/EMR systems within the Openclaw Skills framework.
  • Customizable summary templates to match specific hospital or clinic protocols.

SKILL.md


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