A radiology decision tree is a structured, interactive guide that helps clinicians determine the appropriate imaging test based on patient symptoms and clinical criteria. Instead of relying on static protocols or reference sheets, healthcare providers follow a step-by-step path that adjusts based on patient responses. This improves diagnostic accuracy, reduces unnecessary imaging, and supports evidence-based decision making.
It helps clinicians decide whether imaging is necessary, and which test to choose, based on structured clinical logic. It supports faster, more consistent, and more accurate decisions.
Clinicians follow structured criteria, leading to fewer unnecessary scans and better alignment with evidence-based practices.
Providers get guidance in real time, helping them choose the right imaging test without pausing to review multiple resources.
Whether it’s a resident, attending, or nurse practitioner, everyone follows the same decision logic for the same clinical scenario.
Clear logic pathways and outcomes help standardize handoffs and reduce confusion between departments.
As guidelines evolve, decision trees can be updated once and shared across your teams, keeping everyone aligned.
Yes. By guiding providers through clinical decision rules and criteria, the tree helps avoid low-value or redundant imaging, improving both patient safety and operational efficiency.
PixieBrix runs in the browser and can overlay EHR systems, imaging tools, or internal portals. This makes it easy to integrate the decision tree into your clinical environment.
Very customizable. You can tailor the flow for specific departments, populations, or guidelines. Add custom alerts, links to policies, or follow-up reminders as needed.
You can track usage, paths selected, and outcomes. These insights help validate that your teams are following the guidance - and highlight areas to improve over time.
PixieBrix overlays on top of your existing electronic health record (EHR), imaging portal, or internal tool. Radiology workflows can be accessed directly from where your team already works - no extra system required.
Each decision tree walks providers through structured clinical logic. Whether it’s evaluating head trauma, chest pain, or abdominal symptoms, the tree ensures that imaging decisions are based on current best practices.
Easily modify or build new workflows using PixieBrix’s visual builder. Add logic for age ranges, contraindications, or institutional policies - no development team needed.
Trigger actions like:
By standardizing decision logic across your organization, you reduce overuse and ensure consistency across providers, shifts, and sites.
Track how the tree is used, which pathways are most frequent, and where manual overrides occur. Use this data to update workflows and close clinical gaps.
Create different versions of the decision tree for urgent care, emergency departments, or outpatient settings, while keeping logic consistent.