Got Your Medical Report and Can't Understand a Word? Don't Panic – This Skill Can Save You
To be honest, every time I get my medical report, it feels like solving a puzzle. Terms like "ALT 45," "Uric Acid 430," "TI-RADS Category 3" – a mix of numbers and English, and it's overwhelming. I want to look it up on Baidu, but I'm scared of getting scared by all those alarming posts that keep me awake at night. Worse yet, when buying insurance, the underwriter asks if you have nodules or what your blood pressure is, and you're totally clueless.
Recently, I found an incredibly practical open-source project called the Medical Report Analysis Assistant (English name: Medical Report Analysis Assistant). It's a lifesaver for someone like me who's a total "medical dummy." It's not an app; it's an AI skill that you can install into tools that support Skills. Today, I'll just chat with you about how I use it to review reports for myself and my family.
What Exactly Can It Do?
Simply put, you tell it any abnormal indicators in your medical report (or upload a photo, depending on the integration method), and it will explain the results to you in plain, digestible language, just like a health manager. For example, if your blood lipids are high, it will tell you: Is it high total cholesterol or high triglycerides? How severe is it – mild, moderate, or severe? What could be the cause (too much fatty food, lack of exercise)? What follow-up steps should you take? Most importantly, it can also analyze how this might affect your insurance buying – whether it's standard underwriting, additional premium, exclusion, or deferral/rejection.
Last time, I tried it with my own report. I had a "fasting blood glucose 6.3" result. Usually, the doctor just says, "It's a bit high, watch your diet." But could I buy critical illness insurance? It gave me a direct prediction: possibly additional premium, recommend retesting HbA1c. It felt like having an insurance consultant right there with me – so reassuring.
How to Install and Use It?
This project is open source on GitHub, and the author is jewdore. Installation is also very simple. If you're using a framework that supports npx skills add, just run:
npx skills add https://github.com/jewdore/openclaw-finclaw-test --skill medical-report-analysisThen you can communicate with it through a chat interface. Of course, if you don't want to deal with the command line, you can also download the ZIP from the repository and put the SKILL.md file into your own project. I personally recommend using npx – it's easier.
Key Feature: Structured Interpretation Without Creating Anxiety
What I like most about this skill is its output principles: conclusion first, then explanation; clearly state whether "clinical significance is clear" or "further examination needed"; differentiate the degree of abnormality; and don't scare the user. For example, it won't say "You might have liver cancer" off the bat. Instead, it will say: "Alpha-fetoprotein slightly elevated (mild), clinical significance requires combined imaging examination. Recommend liver ultrasound within 1 month." That way, I know where the problem lies without getting scared to death.
It comes with three built-in output templates, and you can choose based on your needs:
- Quick Interpretation: Suitable for people who just want to know if there's a major issue – gives a summary of abnormalities and recommendations in seconds.
- Standard Report: Suitable for someone like me who wants to systematically understand all indicators – breaks down everything from complete blood count to imaging, organized by system.
- Insurance Underwriting Assessment: This is my favorite! It directly tells you: Based on this report, what would be the result when you buy critical illness insurance, medical insurance, or life insurance? It even provides smart underwriting suggestions and a list of documents you need to supplement.
For example, if you have a thyroid nodule, it automatically outputs: nodule grade (TI-RADS 1-3 or 4+), malignancy risk assessment, recommendation for follow-up or biopsy, predicted underwriting outcome (e.g., Category 1-3 usually standard, Category 4+ likely deferred or rejected), and even an analysis of pros and cons of surgery vs. observation. It's like having a private doctor and an insurance broker combined into one.
Real-Life Experience: My Case and a Friend's
A friend of mine found a "Breast Nodule BI-RADS Category 3" during his physical exam. He was quite worried, thinking he couldn't buy insurance anymore. I made him analyze it with this skill. The result said: BI-RADS Category 3 is most likely benign, malignant risk is low. It suggested follow-up in 6 months, and for insurance, it's usually standard underwriting for Category 3. This calmed him down a lot. (Note: The original Chinese text was cut off here – "恶性风险" – but the context implies "malignant risk is low.")
