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临床研究评估与证据追溯

为汇总层面的临床研究整理证据、评价、模型和治理材料,提供 GRADE 资料与逻辑追溯检查;适用研究用途。

开源精选医疗业务31 个文件50,135 Stars浏览次数 0K-Dense-AI/scientific-agent-skills MIT版本 a1043ef
开始使用

适用环境:Python 3.11+; local files only; bundled scripts use the standard library and require no network, credentials, API keys, LLMs, or image services.

输入资料
汇总或原文允许的研究材料 预先明确的研究问题与评价目标 阅读本节完整说明
交付内容
研究评价与证据资料 来源、限制与人工复核清单 阅读本节完整说明
  1. 获取完整包,保留配套文件的目录结构。
  2. 按照原文准备所需工具、依赖与输入资料。
  3. 阅读对应使用步骤与输入输出说明,在自己的环境中验证结果。

使用提示摘自原文,配套文件保留来源版本;实际运行条件以各包说明为准。

正文

获取原文件

references/decision_logic_traceability.md

Scope

“Decision logic” here means research and governance logic only:

  • evidence inclusion/exclusion;
  • data-quality gates;
  • validation acceptance criteria;
  • release holds;
  • documentation completeness;
  • change-control approval;
  • human-review checkpoints.

Do not encode diagnostic, treatment, dosing, triage, alarm, urgency, bedside, or patient-facing logic.

Matrix Purpose

A traceability matrix links each rule to:

  • its source and rationale;
  • input/precondition;
  • deterministic statement;
  • bounded output kind;
  • verification tests;
  • owner and reviewer;
  • version and status;
  • known limitations and change history.

The matrix documents logic. It does not execute arbitrary expressions.

Allowed Node Types

  • input_check
  • data_quality_gate
  • evidence_rule
  • validation_gate
  • documentation_gate
  • human_review
  • release_gate
  • monitoring_gate

Allowed output kinds:

  • include_evidence
  • exclude_evidence
  • flag_for_review
  • validation_status
  • documentation_status
  • release_hold
  • monitoring_status

There is deliberately no generic “action” node.

Required Fields

Matrix Metadata

  • logic ID and title;
  • version/status/owner;
  • research-only intended use;
  • prohibited uses;
  • data level;
  • source ledger;
  • human-review requirement;
  • change summary;
  • monitoring and retirement criteria.

Per Node

  • unique node ID;
  • type;
  • precondition/input;
  • logic statement in plain language;
  • output kind;
  • output value;
  • source IDs;
  • rationale;
  • validation tests;
  • owner;
  • reviewer role;
  • status.

Rule-Writing Guidance

Write rules so an independent reviewer can reproduce the result without hidden knowledge.

Good:

If an evidence record lacks a stable citation and retrieval date, set output kind flag_for_review with value missing_source_provenance.

If external validation is absent, set release_hold to true for claims of transportability.

Unsafe and prohibited:

If a person's score is high, trigger an urgent alert.

If a biomarker is positive, recommend a therapy.

Validation Tests

For each node include:

  • positive case;
  • negative case;
  • boundary case;
  • missing/invalid input;
  • source/version regression;
  • expected output;
  • reviewer and date.

For the matrix as a whole include:

  • unreachable or orphan nodes;
  • conflicting outputs;
  • cycles;
  • missing sources;
  • stale versions;
  • bypass paths around human review;
  • rollback and retirement behavior.

The bundled helper validates identifiers, allowed node/output types, citations, and required review fields, then emits CSV. It does not parse or execute the logic statement. Invalid matrices produce diagnostics without CSV export; --strict also withholds export when review warnings remain.

Change Control

For any change:

  1. state the reason;
  2. link new evidence or requirement;
  3. identify affected nodes and downstream artifacts;
  4. update tests;
  5. independently validate;
  6. record approval;
  7. define rollout/rollback when applicable;
  8. retain the previous version;
  9. update monitoring;
  10. retire superseded logic explicitly.

Script

python3 scripts/decision_logic_traceability.py \
  assets/decision_logic_traceability_template.json

The output is a documentation matrix, not executable clinical logic.

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