Decision Tree Guides

Radiology Decision Tree Template

Make Faster, Smarter Imaging Decisions - Without Guesswork
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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.

What is a radiology decision tree used for?

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.

✅ More Appropriate Imaging

Clinicians follow structured criteria, leading to fewer unnecessary scans and better alignment with evidence-based practices.

✅ Faster Clinical Decisions

Providers get guidance in real time, helping them choose the right imaging test without pausing to review multiple resources.

✅ Consistent Use Across Teams

Whether it’s a resident, attending, or nurse practitioner, everyone follows the same decision logic for the same clinical scenario.

✅ Better Communication

Clear logic pathways and outcomes help standardize handoffs and reduce confusion between departments.

✅ Easier to Update and Share

As guidelines evolve, decision trees can be updated once and shared across your teams, keeping everyone aligned.

Can this template reduce unnecessary scans?

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.

Does the template work with electronic health records?

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.

How customizable is the logic?

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.

How do I know the tree is being used correctly?

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.

💡 Why Build Radiology Workflows with PixieBrix?

✅ Directly in the Browser

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.

🧭 Guided Clinical Pathways

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.

✏️ No-Code Customization

Easily modify or build new workflows using PixieBrix’s visual builder. Add logic for age ranges, contraindications, or institutional policies - no development team needed.

🔄 Automate Referrals and Follow-Up

Trigger actions like:

  • Ordering imaging through an external system
  • Logging recommendations in the patient chart
  • Sending clinical summaries to providers or coordinators
🚀 Reduce Variation in Care

By standardizing decision logic across your organization, you reduce overuse and ensure consistency across providers, shifts, and sites.

📊 Monitor Usage and Gaps

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.

📈 Built for Multi-Site Healthcare Teams

Create different versions of the decision tree for urgent care, emergency departments, or outpatient settings, while keeping logic consistent.

🛠 How to Build a Decision Tree for Radiology Workflows

  1. Define Clinical Use Cases
    Start with your most common imaging decisions - like head CT after trauma, back pain with red flags, or shortness of breath.
  2. Review Guidelines and Criteria
    Reference clinical decision rules like the Canadian CT Head Rule, Wells Score, or Choosing Wisely guidelines.
  3. Map Out Key Questions
    Identify branching points like symptom duration, presence of red flags, or recent imaging history.
  4. Add Clear Recommendations
    Connect each endpoint to a suggested action - order CT, defer imaging, or refer to a specialist - with supporting rationale or links.
  5. Validate with Clinicians
    Review logic with radiologists and frontline providers. Make sure it reflects actual workflows and aligns with institutional policies.
  6. Launch and Train
    Embed the decision tree in the workflow and show providers how it fits into their existing documentation or ordering process.
  7. Update and Improve
    Monitor how the tree performs. Adjust based on feedback, new evidence, or changes to reimbursement rules or safety protocols.

See results with PixieBrix

Ramp agents 40% faster
Supercharge agent speed-to-production by providing step-by-step guidance and eliminating knowledge-base hunting, making even newbies to customer service heroes in a flash.
Eliminate clerical errors
Clear-cut paths through complex issues, offered by decision trees, empower agents to handle calls confidently, reducing average handle time and maximizing customer satisfaction.
Save millions
By pinpointing issues faster and minimizing unnecessary repairs, decision trees help IT teams slash maintenance costs and maximize equipment uptime.

Built for Enterprise Security and Scalability

It's a top priority at PixieBrix to keep your data safe and compliant with your organization's policies. Security, compliance, and governance are at the core of automation with PixieBrix.  

For enterprise customers, our sales team can provide the following resources to expedite security review:
  • SOC 2 Type 2 report covering security, availability, and confidentiality from A-LIGN
  • Independent Penetration Test report from A-LIGN
  • Company policies and controls
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