The Fragmented Workflow:
A Clinician's Burden
Every occupational therapist starts with narrative data. A patient recovering from stroke describes dressing failures, fatigue, shower-transfer risks, and frustration in the kitchen. Turning that story into evidence-based practice is still a slow, fragmented process spread across notes, search tools, abstracts, and improvised clinical reasoning.
Cognitive overload
Clinicians have to manually turn messy stories into a question, search the literature, filter noise, appraise study quality, and translate findings into a practical plan.
Translation gap
Even when the right paper is found, the hard part remains: deciding whether that evidence fits this patient's goals, home setup, risks, and caregiver reality.
The real failure mode is not lack of information. It is the lack of a reliable workflow that converts information into a patient-specific, inspectable, evidence-linked clinical plan.
The 5 A's Copilot
“The goal is not to replace the therapist. The goal is to reduce the friction between clinical reasoning and usable evidence.”
Ask
Extract diagnosis, setting, goals, risks, and missing details into a structured clinical question.
Acquire
Retrieve linked papers and guidelines so the clinician can inspect real sources before moving on.
Appraise
Attach strengths, limitations, and applicability judgments to specific papers instead of generic summaries.
Apply
Turn evidence into practical OT recommendations, safety considerations, and role-appropriate next steps.
Assess
Define outcome measures, export a report, and close the loop with feedback for future improvement.
Product Demo
See It In Action
A short walkthrough of the MEDGemmaEBP workflow
Watch a practical demo of how the system helps clinicians move from a clinical question to usable, source-linked evidence and actionable next steps.
Video Demo
MEDGemmaEBP walkthrough
Agentic Reasoning:
The MedGemma Engine
Context extraction and clarification
The system starts by pulling out diagnosis, stage, ADL limitations, home context, risks, and goals. If something important is missing, it asks for it instead of guessing.
Source-linked discussion before advancing
The workflow is deliberately staged. It retrieves papers, lets the clinician inspect or discuss them, and only then moves into appraisal and application.
Role-aware prompts and guides
Occupational therapists, physicians, nurses, and educators do not need the same framing. Prompt guidance can shift emphasis toward ADLs, diagnostics, implementation, or patient education.
Feedback and report export
Every stage can produce a structured artifact. That makes it easier to export reports, review model behavior, and tune prompts or retrieval strategies over time.
Population
67-year-old post-stroke outpatient OT case
Intervention
Task-oriented ADL training with caregiver coaching
Outcome
Safer dressing, shower transfers, and breakfast prep
Prompt guide
Ask missing details, verify sources, cite evidence, stay role-specific
Prompt optimization loop
- Ask: fill missing PICO fields before locking the question.
- Acquire: prioritize verified linked studies over generic summaries.
- Appraise: keep each judgment attached to a specific paper.
- Apply/Assess: output actionable guidance and trackable measures.
“The most useful AI system in healthcare is not the one that says the most. It is the one that makes evidence easier to inspect, discuss, and apply.”
Core design principle
MEDGemmaEBP
Real-World Application
Patient Presentation
- Diagnosis Left CVA with right hemiparesis
- Target goals Independent dressing and breakfast prep
- Care setting Outpatient OT with home carryover
Copilot Outputs
Structured question: the case becomes a usable PICO with missing details clarified first.
Evidence set: linked papers and guidelines that can be discussed before the next step.
Paper-by-paper appraisal: each strength or limitation is attached to the right study.
Report export: a shareable summary with rationale, recommendations, and suggested outcome measures.
Potential Impact
Benefits
Supporting better care, better decisions, and more sustainable practice
By reducing friction across the evidence-based practice workflow, MEDGemmaEBP is designed to support more consistent evidence use in routine care while helping clinicians stay focused on patient needs and clinical reasoning.
Improve patient outcomes
Better access to relevant evidence can support more targeted, timely, and patient-centered clinical decisions.
Help reduce burnout
Streamlining search, appraisal, and documentation burdens may reduce friction and cognitive load in everyday practice.
Strengthen evidence use
A structured workflow can support more consistent movement from clinical questions to source-linked action.
Support clinician confidence
Inspectable outputs and source-linked reasoning can help clinicians feel more confident in evidence-informed decision-making.
Interested in MEDGemmaEBP?
Connect with us to explore pilot use, research collaboration, partnerships, or future updates.
For clinicians
Share your setting, workflow pain points, and the clinical decisions where evidence support would matter most.
For partners
Discuss pilot opportunities, implementation settings, evaluation plans, or product integration pathways.
For updates
Leave your details to hear about pilots, publications, demos, and future milestones.