Clinical Calculator

Clinical Calculator

Use this repository as a calculation and evidence-routing Skill, not as a product interface. Every indexed calculator has local executable logic; none is automatically cleared for clinical release.

Core workflow

1. Search executable calculators before choosing a formula:

   python3 scripts/clinical_calculator.py search "<中文名、英文名、专科或场景>"
   

2. Resolve duplicate names by ID. Never silently choose among multiple versions or variants.

3. Inspect the exact inputs, units, bounds, source, version, and implementation state:

   python3 scripts/clinical_calculator.py info CALC-0039
   

4. Ask for any missing or ambiguous input. Do not assume sex, pregnancy, pediatric/adult population, race term, body size, timing, acute stability, or unit.

5. Run by exact ID with JSON-compatible values:

   python3 scripts/clinical_calculator.py run CALC-0039 \
     --input weight_kg=70 --input height_cm=175
   

6. Report calculator/version, inputs and units, formula or rule, result and rounding, interpretation, source, and important limits. Keep arithmetic reproducible.

Read references/calculator-cli.md for all commands and result states. Read references/search-and-routing.md for query normalization, synonym maintenance, match explanations, and the required response to no_match.

Availability and safety

• complete means locally executable from its declared contract, not clinically approved.
• partial returns an intermediate result or needs upstream/pre-scored values.
• released is controlled separately by an explicit clinician-approved allowlist. It is currently empty.
• Resolve merged duplicate IDs through clinical_calculator_aliases.csv. Treat the canonical ID as the calculator record; keep old IDs working for backward compatibility and do not count aliases as separate calculators.
• Treat the MIT license as covering repository code, not as permission to reproduce third-party questionnaire text, proprietary tables, staging content, or other controlled clinical material.
• Never reconstruct missing coefficients, point tables, nomograms, licensed questionnaire items, or versions from memory.
• Read references/input-contracts.md before adding or changing an executable calculator's declared inputs.
• For medication dosing, separate calculation from prescribing and require clinician/pharmacist review.
• For emergencies or high-stakes decisions, do not let a calculator replace urgent professional assessment.

If a requested calculator is not found, say that it is not included. Do not reconstruct missing coefficients, point tables, thresholds, or licensed content from memory. Offer an included alternative only if it answers the same clinical question and clearly identify any population or version difference.

Add a custom calculator

Scaffold a safe declarative formula, lookup table, or decision tree:

python3 scripts/clinical_calculator.py scaffold \
  --output /tmp/my-calculator.json \
  --id CUSTOM-MY-CALC \
  --name-cn "我的计算器" \
  --name-en "My Calculator"

Add --kind multi-formula, --kind lookup, --kind multi-lookup, or --kind decision-tree for those templates. multi-lookup demonstrates exact + range dimensions and named multiple outputs. Schema v2 manifests must include at least one source-derived test case and may record source effective/retrieval dates.

Then replace the example formula and placeholder source, validate it, test known cases, and install it:

python3 scripts/clinical_calculator.py validate-custom /tmp/my-calculator.json
python3 scripts/clinical_calculator.py install-custom /tmp/my-calculator.json
python3 scripts/clinical_calculator.py run CUSTOM-MY-CALC --input example_value=1

Create from a supplied file

Read references/custom-calculators.md, then:

1. Confirm the material defines a calculator rather than containing patient-specific values. Never persist patient identifiers or case data in a calculator manifest.

2. Validate an existing JSON manifest directly. For CSV, Markdown, PDF, DOCX, or prose, extract only explicit inputs, units, bounds, formula/table/tree rules, interpretations, source/version, and source-derived known answers.

3. Never infer missing coefficients, thresholds, table cells, units, or versions. Save incomplete work under custom_calculators/drafts/<custom-id>.json; nested drafts are not executable.

4. Generate schema v2 and run validate-custom. If evidence or validation is incomplete, leave the file as a draft and report exactly what is missing.

5. Show the proposed ID, inputs, calculation rule, source, and tests. Install only after confirmation:

   python3 scripts/clinical_calculator.py install-custom \
     custom_calculators/drafts/<custom-id>.json
   

6. Verify the installed calculator with info and one source-derived run case. Installed manifests are saved directly under custom_calculators/ and discovered on later runs.

Custom manifests are sandboxed to allowlisted expression syntax. Exact, range, and multidimensional lookup tables never interpolate implicitly; decision-tree rules use first-match order. Manifests are discovered from custom_calculators/, additional --custom-dir paths, or CLINICAL_CALCULATOR_CUSTOM_DIRS. They are runnable but never automatically clinically released or considered independently reviewed.

Read references/custom-calculators.md before authoring or reviewing an extension. Use a source-backed Python implementation with tests for interpolated tables, dates, sequences, licensed content, or other unsupported logic.

Response pattern

Use concise prose or this structure when the calculation is non-trivial:

Calculator / version:
Inputs / units:
Formula or rule:
Result:
Interpretation:
Source:
Limits / review state: