Skill UI

A comprehensive workflow designed for clinical professionals to search, retrieve, and synthesize medical evidence. It allows users to query clinical literature with specialized filters (e.g., specialty, evidence level), check potential drug interactions against patient profiles, and look up the latest specialty guidelines from major health organizations (like ACC/AHA, NICE). The output provides structured citations, confidence scores, and evidence grading to support informed clinical decision-making.

This module provides minimal working examples for the OpenEvidence API, designed for clinical intelligence applications. Users can perform complex clinical queries to get treatment recommendations, check potential drug interactions based on patient context, and search for authoritative medical guidelines from major health organizations (e.g., ACC/AHA). Ideal for developing evidence-based healthcare decision support systems.

Provide REST API access to ClinPGx, the successor to PharmGKB, for querying gene-drug interactions, CPIC/DPWG/FDA guidelines, allele functions, and evidence that supports precision dosing and pharmacogenomics-driven clinical decisions.

Provides programmatic access to DrugBank drug and target data, covering downloads, queries, interaction networks, targets/pathways, and chemical similarity analyses for pharmacology research and safety reviews.

Direct Python helpers for KEGG's REST API, covering database metadata, listing, search, retrieval, ID conversion, linkage, and drug interactions to power pathway and gene analysis.

A comprehensive development pattern for building Clinical Decision Support Systems (CDSS) integrated into Electronic Medical Records (EMR). Key modules include drug interaction checking, dose validation based on patient factors (weight, age, renal function), and calculating standard clinical scores (e.g., NEWS2). Designed as pure, side-effect-free functions to ensure maximum testability and patient safety, with zero tolerance for false negatives.

This pattern guides the development of Electronic Medical Records (EMR) and Electronic Health Records (EHR) systems, prioritizing patient safety, clinical accuracy, and workflow efficiency. Key components include single-page visit flows, smart template systems, mandatory drug interaction checks, integration of Clinical Decision Support Systems (CDSS), robust audit trails, and adherence to WCAG accessibility standards. It ensures critical alerts are visible and cannot be dismissed.