Clinical Decision Support
Prepares and validates research-only clinical decision-support evaluation...
Install
npx skills add K-Dense-AI/scientific-agent-skills --skill clinical-decision-support -g -a claude-code -y- Repository
- K-Dense-AI/scientific-agent-skills55.7k
- Category
- Writing
- Updated
- 9d ago
- License
- MIT
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- Yes, review before use
What it does
Prepares and validates research-only clinical decision-support evaluation, evidence-profile, cohort, survival, biomarker/model, privacy, and governance artifacts. Supports aggregate or synthetic research documentation and traceability, excluding patient care and live clinical operation.
Clinical Decision-Support Research and Evaluation
Hard Safety Boundary
This skill produces research, evaluation, documentation, and governance artifacts only.
Never use it to:
- diagnose or classify a person;
- recommend, select, sequence, start, stop, or modify treatment;
- calculate or communicate a patient-specific dose;
- triage, prioritize, alarm, alert, or determine urgency;
- make or automate a patient-specific clinical decision;
- support bedside, point-of-care, or live clinical operation;
- replace professional judgment or a validated, authorized clinical system;
- claim FDA authorization, regulatory conformity, HIPAA compliance, or legal compliance.
If a request could affect care for a person, stop the workflow and route the matter to a licensed healthcare professional using locally validated and appropriately authorized systems. Do not redirect to another skill for patient-specific care.
In Scope
- Intended-use and limitation statements for research artifacts
- Aggregate cohort table shells with disclosure controls
- Statistical analysis plans and survival-analysis plan review
- Aggregate model or biomarker performance evaluation
- Transparent GRADE evidence-profile checklists
- Evidence-source and decision-logic traceability
- De-identification process checklists
- Fairness, subgroup, calibration, uncertainty, external-validation, monitoring, change-control, audit, and human-factors documentation
Outputs remain drafts until qualified humans approve them. Reporting guidance improves transparency; it does not establish study quality, clinical utility, safety, effectiveness, authorization, or compliance.
Data Gate
Before any script:
