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Evidence-Based Practice

Clinical Definition

The clinical decision-making framework defined by ASHA as the integration of three components: best available research evidence, clinical expertise, and client/patient values and preferences. AI output is not a substitute for any of them. A model can help you find or organize information, but it cannot replace the clinician's judgment or the client's voice.

Technical Definition

A decision-making framework originating in healthcare that requires integrating empirical evidence, practitioner expertise, and stakeholder input. In the context of AI tools, EBP serves as the standard against which AI-assisted workflows should be evaluated; the tool should support and streamline evidence-based processes, not bypass or replace them.

Also known as: EBP, ASHA EBP triangle, evidence-based decision-making

Why SLPs Need to Know This

The emergence of AI tools creates pressure to treat model output as a form of evidence. It is not. A model’s recommendation is a statistical pattern completion, not a clinical finding. EBP provides the framework for keeping AI in its proper role: a tool that supports your process, not a replacement for your clinical reasoning.

Clinical Impact

  • Research evidence: AI can help you search for and summarize research, but it can hallucinate citations, misrepresent findings, and cannot evaluate study quality
  • Clinical expertise: No model has your clinical experience, your knowledge of your setting, or your understanding of what’s feasible in your caseload
  • Client values: AI has no relationship with your client and cannot incorporate their preferences, cultural context, or lived experience
  • The risk: When AI output looks polished and professional, it’s tempting to skip verification. This is where EBP breaks down

Practical Guide

  1. Use AI to accelerate, not replace, evidence gathering. Let it help you search, but verify every source it provides
  2. Apply your clinical expertise to every output. If something reads well but doesn’t align with your clinical knowledge, trust your training
  3. Keep the client in the loop. AI-generated goals, recommendations, or materials should still reflect the client’s priorities and values
  4. Document your reasoning. “The AI suggested X” is not a clinical rationale. Your clinical reasoning must stand on its own.

The ASHA Triad and AI

EBP ComponentWhat AI Can DoWhat AI Cannot Do
Research EvidenceSearch, summarize, organizeEvaluate quality, ensure accuracy, replace peer review
Clinical ExpertiseSurface patterns, draft documentationExercise judgment, understand context, take responsibility
Client ValuesGenerate culturally responsive templatesKnow your client, build rapport, honor preferences
  • Hallucination: the primary threat to AI’s role in supporting evidence-based work
  • Grounding: the technical approach that best aligns AI output with evidence-based principles
  • RAG: a method for connecting AI output to specific evidence sources

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