clinical-value — clinical-value install clinical-value, healthcare, community, clinical-value install, ide skills, quantifying research impact, clinical value assessment, research proposal evaluation, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Ideal for Healthcare Agents requiring systematic evaluation of research proposals and quantification of clinical contributions. Clinical-value is a skill that evaluates the clinical value of research proposals, assessing their impact on patients, clinicians, and healthcare systems.

Features

Evaluates research proposals based on parameters like RESEARCH_PROPOSAL, DRUG, INDICATION, and TARGET_POPULATION
Quantifies contributions to patients, clinicians, and healthcare systems using a systematic approach
Supports input parameters like CLINICAL_QUESTION and CURRENT_PRACTICE for tailored evaluations
Provides a structured framework for assessing clinical value, including a clinical value assessment formula
Enables researchers to compare treatment regimens, such as DRd vs VRd, and their effects on specific patient populations

# Core Topics

clinical-value install quantifying research impact clinical value assessment research proposal evaluation
tito-gh tito-gh
[0]
[0]
Updated: 3/8/2026

Agent Capability Analysis

The clinical-value skill by tito-gh is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for clinical-value install, quantifying research impact, clinical value assessment.

Ideal Agent Persona

Ideal for Healthcare Agents requiring systematic evaluation of research proposals and quantification of clinical contributions.

Core Value

Empowers agents to assess the clinical value of research proposals by evaluating patient, clinician, and healthcare system contributions, utilizing parameters such as research proposal overview, target drug, indication, target population, and clinical questions, all while considering current practice standards like VRd or DRd availability.

↓ Capabilities Granted for clinical-value

Evaluating the clinical value of new drug regimens like DRd vs VRd for specific patient populations
Quantifying the contributions of research proposals to clinicians and healthcare systems
Assessing the impact of current practice standards on patient outcomes

! Prerequisites & Limits

  • Requires detailed research proposal information
  • Limited to evaluating clinical value based on predefined parameters
  • Dependent on accurate and up-to-date clinical data
Labs Demo

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clinical-value

Unlock the clinical value of your research proposals with our AI agent skill. Learn how to quantify patient, clinician, and healthcare system contributions....

SKILL.md
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Clinical Value Skill

目的

研究案の臨床的価値を体系的に評価し、患者・臨床医・医療システムへの貢献度を定量化する。

入力パラメータ

パラメータ必須説明例
RESEARCH_PROPOSALYes研究案の概要DRd vs VRd比較効果研究
DRUGYes対象薬剤daratumumab
INDICATIONYes対象疾患NDMM
TARGET_POPULATIONYes対象患者集団TIE elderly patients
CLINICAL_QUESTIONYes臨床的問いWhich regimen is superior for frail patients?
CURRENT_PRACTICENo現在の標準治療VRd or DRd based on availability

臨床的価値評価フレームワーク

1. 患者アウトカムへの影響（Patient Outcomes Impact）

評価項目評価基準スコア (1-5)
生存改善可能性死亡率・OS改善への寄与
QOL改善可能性症状・機能・PRO改善への寄与
有害事象回避毒性・副作用軽減への寄与
治療負担軽減通院・入院・費用負担軽減
個別化治療への貢献患者特性に応じた治療選択支援

2. 臨床意思決定への影響（Clinical Decision Impact）

評価項目評価基準スコア (1-5)
エビデンスギャップ充足現在の不確実性解消への貢献
治療選択への影響実臨床での処方行動変化
患者説明への活用IC・shared decision making支援
リスク層別化への貢献予後予測・リスク評価改善
適正使用への貢献過少/過剰使用是正

3. 医療システムへの影響（Healthcare System Impact）

評価項目評価基準スコア (1-5)
ガイドライン改訂可能性推奨変更への寄与
保険収載・償還への影響薬価・適応拡大への寄与
医療資源適正化コスト・資源配分最適化
医療格差是正アクセス・公平性改善
医療安全向上安全性監視・リスク管理改善

4. エビデンスの質と適用性（Evidence Quality & Applicability）

評価項目評価基準スコア (1-5)
内的妥当性バイアス最小化、方法論的質
外的妥当性日本実臨床への適用可能性
効果の大きさ臨床的に意味のある差か
精度十分なサンプルサイズ・信頼区間
一貫性先行研究との整合性

臨床価値スコアリング

総合臨床価値スコア算出

Clinical Value Score =
  (Patient Outcomes × 0.35) +
  (Clinical Decision × 0.30) +
  (Healthcare System × 0.20) +
  (Evidence Quality × 0.15)

スコア解釈

スコア範囲臨床価値レベル解釈
4.5-5.0Transformative診療を根本的に変える可能性
3.5-4.4High重要な臨床的貢献が期待
2.5-3.4Moderate一定の臨床的意義あり
1.5-2.4Limited限定的な臨床的意義
1.0-1.4Minimal臨床的意義乏しい

出力フォーマット

markdown
1# Clinical Value Assessment: {RESEARCH_PROPOSAL}
2
3## 1. 臨床的文脈
4
5### 現在の臨床課題
6- 対象疾患: {INDICATION}
7- 対象薬剤: {DRUG}
8- 対象患者: {TARGET_POPULATION}
9- 臨床的問い: {CLINICAL_QUESTION}
10- 現在の標準治療: {CURRENT_PRACTICE}
11- **未充足臨床ニーズ**: [具体的記述]
12
13### 関連ガイドライン・推奨
14| 発行元 | 現在の推奨 | エビデンスレベル | 参照 |
15|--------|-----------|----------------|------|
16| NCCN | ... | ... | URL |
17| ESMO | ... | ... | URL |
18| 日本血液学会 | ... | ... | URL |
19
20## 2. 臨床価値評価
21
22### 2.1 患者アウトカムへの影響
23| 項目 | スコア | 根拠 |
24|------|--------|------|
25| 生存改善可能性 | X/5 | ... |
26| QOL改善可能性 | X/5 | ... |
27| 有害事象回避 | X/5 | ... |
28| 治療負担軽減 | X/5 | ... |
29| 個別化治療貢献 | X/5 | ... |
30| **小計** | X.X/5.0 | |
31
32### 2.2 臨床意思決定への影響
33| 項目 | スコア | 根拠 |
34|------|--------|------|
35| エビデンスギャップ充足 | X/5 | ... |
36| 治療選択への影響 | X/5 | ... |
37| 患者説明への活用 | X/5 | ... |
38| リスク層別化貢献 | X/5 | ... |
39| 適正使用貢献 | X/5 | ... |
40| **小計** | X.X/5.0 | |
41
42### 2.3 医療システムへの影響
43| 項目 | スコア | 根拠 |
44|------|--------|------|
45| ガイドライン改訂可能性 | X/5 | ... |
46| 保険収載・償還影響 | X/5 | ... |
47| 医療資源適正化 | X/5 | ... |
48| 医療格差是正 | X/5 | ... |
49| 医療安全向上 | X/5 | ... |
50| **小計** | X.X/5.0 | |
51
52### 2.4 エビデンス質と適用性
53| 項目 | スコア | 根拠 |
54|------|--------|------|
55| 内的妥当性 | X/5 | ... |
56| 外的妥当性 | X/5 | ... |
57| 効果の大きさ | X/5 | ... |
58| 精度 | X/5 | ... |
59| 一貫性 | X/5 | ... |
60| **小計** | X.X/5.0 | |
61
62## 3. 総合臨床価値スコア
63
64| カテゴリ | スコア | 重み | 加重スコア |
65|---------|--------|------|-----------|
66| Patient Outcomes | X.X | 0.35 | X.XX |
67| Clinical Decision | X.X | 0.30 | X.XX |
68| Healthcare System | X.X | 0.20 | X.XX |
69| Evidence Quality | X.X | 0.15 | X.XX |
70| **総合** | - | - | **X.XX/5.0** |
71
72### 臨床価値レベル: **[Transformative/High/Moderate/Limited/Minimal]**
73
74## 4. EHR-RWDによる臨床価値向上
75
76### クレームDB研究との差別化による追加価値
77| 観点 | クレームDB | EHR-RWD | 臨床価値への貢献 |
78|------|-----------|---------|-----------------|
79| 詳細臨床情報 | × | ○ | 患者選択精度向上 |
80| 検査値推移 | × | ○ | 効果/安全性評価精度向上 |
81| 経過記録 | × | ○ | アウトカム定義精度向上 |
82
83## 5. 限界と不確実性
84
851. [限界1]
862. [限界2]
873. [不確実性要因]
88
89## 6. 臨床的推奨
90
91### 研究実施推奨度: **[強く推奨 / 推奨 / 条件付推奨 / 非推奨]**
92
93### 理由
94[推奨理由の詳細]
95
96### 想定される臨床インパクト
97[研究結果が陽性だった場合の臨床実践への影響予測]

注意事項

  1. 患者視点の重視: 患者アウトカムへの影響を最重要視
  2. 現実的評価: 理論的価値と実臨床での実装可能性を区別
  3. エビデンスの質: 研究デザインの限界が臨床価値を制限する点を考慮
  4. 根拠の明示: 各評価に文献的根拠またはエキスパートオピニオンを明記
  5. 比較対象の明確化: 現在の標準治療・既存エビデンスとの比較で価値を評価

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is clinical-value?

Ideal for Healthcare Agents requiring systematic evaluation of research proposals and quantification of clinical contributions. Clinical-value is a skill that evaluates the clinical value of research proposals, assessing their impact on patients, clinicians, and healthcare systems.

How do I install clinical-value?

Run the command: npx killer-skills add tito-gh/healthcare/clinical-value. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for clinical-value?

Key use cases include: Evaluating the clinical value of new drug regimens like DRd vs VRd for specific patient populations, Quantifying the contributions of research proposals to clinicians and healthcare systems, Assessing the impact of current practice standards on patient outcomes.

Which IDEs are compatible with clinical-value?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for clinical-value?

Requires detailed research proposal information. Limited to evaluating clinical value based on predefined parameters. Dependent on accurate and up-to-date clinical data.

↓ How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add tito-gh/healthcare/clinical-value. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use clinical-value immediately in the current project.

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