SCI Skills

EN Index
Data & ReproStatistics & Data AnalysisK-Dense-AI/claude-scientific-skillsData & Reproduction
CL

Clinical Decision Support

Maintainer K-Dense Inc. · Last updated April 1, 2026

Generate professional clinical decision support (CDS) documents for pharmaceutical companies, clinical researchers, and medical decision-makers. This skill specializes in analytical, evidence-based documents that inform treatment strategies and drug development:.

Claude CodeOpenClawNanoClawAnalysisReproductionclinical-decision-supportdocument-processingpackageclinical documentation & decision support

Original source

K-Dense-AI/claude-scientific-skills

https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/clinical-decision-support

Maintainer
K-Dense Inc.
License
MIT License
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • Generate professional clinical decision support (CDS) documents for pharmaceutical companies, clinical researchers, and medical decision-makers. This skill specializes in analytical, evidence-based documents that inform treatment strategies and drug development:.
  • 1. Patient Cohort Analysis - Biomarker-stratified group analyses with statistical outcome comparisons 2. Treatment Recommendation Reports - Evidence-based clinical guidelines with GRADE grading and decision algorithms.
  • All documents are generated as publication-ready LaTeX/PDF files optimized for pharmaceutical research, regulatory submissions, and clinical guideline development.
  • Writing Style: For publication-ready documents targeting medical journals, consult the venue-templates skill's medical_journal_styles.md for guidance on structured abstracts, evidence language, and CONSORT/STROBE compliance.
  • Phase 2/3 Trial Analyses: Biomarker-stratified efficacy and safety analyses.

Source Doc

Excerpt From SKILL.md

Document Types

Patient Cohort Analysis

  • Biomarker-based patient stratification (molecular subtypes, gene expression, IHC)
  • Molecular subtype classification (e.g., GBM mesenchymal-immune-active vs proneural, breast cancer subtypes)
  • Outcome metrics with statistical analysis (OS, PFS, ORR, DOR, DCR)
  • Statistical comparisons between subgroups (hazard ratios, p-values, 95% CI)
  • Survival analysis with Kaplan-Meier curves and log-rank tests
  • Efficacy tables and waterfall plots
  • Comparative effectiveness analyses
  • Pharmaceutical cohort reporting (trial subgroups, real-world evidence)

Treatment Recommendation Reports

  • Evidence-based treatment guidelines for specific disease states
  • Strength of recommendation grading (GRADE system: 1A, 1B, 2A, 2B, 2C)
  • Quality of evidence assessment (high, moderate, low, very low)
  • Treatment algorithm flowcharts with TikZ diagrams
  • Line-of-therapy sequencing based on biomarkers
  • Decision pathways with clinical and molecular criteria
  • Pharmaceutical strategy documents
  • Clinical guideline development for medical societies

Clinical Features

  • Biomarker Integration: Genomic alterations (mutations, CNV, fusions), gene expression signatures, IHC markers, PD-L1 scoring
  • Statistical Analysis: Hazard ratios, p-values, confidence intervals, survival curves, Cox regression, log-rank tests
  • Evidence Grading: GRADE system (1A/1B/2A/2B/2C), Oxford CEBM levels, quality of evidence assessment
  • Clinical Terminology: SNOMED-CT, LOINC, proper medical nomenclature, trial nomenclature
  • Regulatory Compliance: HIPAA de-identification, confidentiality headers, ICH-GCP alignment
  • Professional Formatting: Compact 0.5in margins, color-coded recommendations, publication-ready, suitable for regulatory submissions

Use cases

  • Use Clinical Decision Support for statistical testing and quantitative analysis.
  • Apply Clinical Decision Support to research datasets that require rigorous inference.
  • Use clinical-decision-support for statistical testing and quantitative analysis.
  • Apply clinical-decision-support to research datasets that require rigorous inference.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

Related skills

Related skills

Back to directory
AE
Data & ReproStatistics & Data Analysis

aeon

Aeon is a scikit-learn compatible Python toolkit for time series machine learning. It provides state-of-the-art algorithms for classificatio…

Claude CodeOpenClawAnalysis
K-Dense-AI/claude-scientific-skillsView
BA
Data & ReproStatistics & Data Analysis

bayesian-optimizer

Bayesian optimization for experimental design and hyperparameter tuning in biomedical research.

OpenClawNanoClawAnalysis
FreedomIntelligence/OpenClaw-Medical-SkillsView
BI
Data & ReproStatistics & Data Analysis

bio-causal-genomics-fine-mapping

Fine-mapping narrows GWAS association signals to identify likely causal variants. Key outputs: - **PIP** (Posterior Inclusion Probability) -…

OpenClawNanoClawAnalysis
FreedomIntelligence/OpenClaw-Medical-SkillsView