med-initial-record-gen

What This Skill Does

The med-initial-record-gen skill acts as an intelligent clinical documentation assistant, designed to bridge the gap between spoken medical consultations and formal electronic health records (EHR). By processing raw, unstructured Chinese medical dialogue logs—typically derived from automated speech-to-text transcripts—it generates structured, professional-grade outpatient initial medical records. The output is organized into standard clinical segments, including Chief Complaint, History of Present Illness, Past Medical History, Physical Examination findings, Auxiliary Tests, Diagnosis, and Treatment Plans. This tool significantly reduces the clerical burden on clinicians by automating the transcription of consultation narrative into standard medical terminology.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/aaiccee/med-record-gen

Ensure your local environment meets the dependency requirements defined in the source repository openclaw/skills. Once installed, you can trigger the skill via the command line using python3 scripts/gen_initial_record.py with your input dialogue file.

Use Cases

• Clinical Efficiency: Assisting physicians during busy outpatient clinics by summarizing lengthy verbal consultations into structured notes.
• Telemedicine Support: Quickly formalizing patient-doctor communication transcripts into reviewable medical records.
• Medical Training: Assisting medical students in understanding how to properly format and structure patient interactions into clinical documentation.
• Data Standardization: Converting messy, informal conversational data into a consistent, readable format for internal medical record audits.

Example Prompts

1. "Generate an initial medical record based on the transcript located in data/med-initial-record-gen/dialogue.txt."
2. "Process the recent patient interaction record and create a structured summary including diagnosis and treatment steps."
3. "Summarize the following patient interview transcript into an official outpatient record format: [Paste Transcript Here]."

Tips & Limitations

• Data Privacy First: This skill implements strict PII scrubbing. It is critical to ensure that any input files have already been sanitized to remove names, government ID numbers, and specific addresses before processing.
• Not for Autonomous Diagnosis: This tool is an assistive documentation generator. It does not possess medical certification and is not intended to provide or replace clinical diagnostic logic. All generated records must be reviewed, edited, and validated by a licensed medical professional.
• Input Quality: The accuracy of the generated medical record is highly dependent on the quality of the source transcript. If the dialogue is fragmented or noisy, the AI may require more manual intervention during the review phase.