MPredict anythingMIROFISH 米罗鱼
MiroFish 米罗鱼/Patient Therapy Guide 患者治疗指南
Patient education, treatment questions, and clinician follow-up rehearsal

Patient Therapy Guide

Patient Therapy Guide患者治疗指南

Use Patient Therapy Guide to rehearse how patients may understand treatment options, risks, adherence barriers, and the questions they should discuss with a licensed clinician.

Scenario / Simulation view
Patient therapy guide for a care decision 照护决策的患者治疗指南
3 rounds
R1
Patient context 患者背景
Understanding gap appears 理解缺口出现
R2
Therapy options 治疗选项
Risk question sharpens 风险问题变清晰
R3
Clinician follow-up 临床随访
Adherence barrier surfaces 依从性阻力浮现
Actors12+
Reaction paths24
Risk signals8
Inputs that make this useful

Bring evidence that gives the simulation a real boundary.

The best runs start with enough context for MiroFish to separate the decision, the actors, and the constraints.

Decision brief

Use the decision, memo, launch note, policy draft, pricing change, or scenario summary behind Patient Therapy Guide.

Evidence notes

Add interviews, reports, support notes, competitor claims, public posts, or other context the actors should react to.

Constraint context

Include timing, audience, incentives, limits, and assumptions that should shape the simulated response.

Decision pressure this catches

See where the response starts to move.

Pressure 01

Understanding gap appears

Watch how patient context respond when this signal appears, then inspect whether the path needs more evidence.

Pressure 02

Risk question sharpens

Watch how therapy options respond when this signal appears, then inspect whether the path needs more evidence.

Pressure 03

Adherence barrier surfaces

Watch how clinician follow-up respond when this signal appears, then inspect whether the path needs more evidence.

Workflow

Turn a market question into a simulated response path.

Each use case page should show how MiroFish moves from seed material to actors, reactions, report structure, and follow-up questions.

Step 01

Frame the question

Define the patient therapy question so the simulation starts with a concrete job.

Step 02

Map actors and incentives

Turn source material into actors, constraints, relationships, and the assumptions worth reviewing.

Step 03

Run reaction rounds

Let patient context, therapy options, clinician follow-up move through multiple rounds instead of compressing the answer into one guess.

Step 04

Read the next test

Use the report to find pressure signals, weak evidence, and the follow-up question that should be tested next.

Report Preview

The report makes pressure points visible.

Visitors should understand what they will inspect before they open the full MiroFish workspace.

Scenario report

Patient questions

  • First pressure signal
  • Actor movement
  • Assumptions to review

Adherence barriers

  • Reaction path
  • Objection cluster
  • Confidence boundary

Clinician follow-up prompts

  • Evidence to collect
  • Message to test
  • Follow-up prompt

What the report should answer

How to read the result.

  • Which patient therapy guide pressure signal appears first
  • Which actors amplify or redirect the path
  • Which assumption should be challenged before acting
  • Which follow-up question should be tested next

What it does not promise

Paths are not certainty.

  • Guaranteed revenue, vote share, scoreline, adoption, or public reaction
  • A substitute for customer research, field data, or accountable judgment
  • Live context unless you provide current source material
  • A final decision without reviewing the evidence boundary
Why structure matters

MiroFish gives the answer a shape you can inspect.

A normal chat answer can be useful, but this workflow makes the actors, reaction rounds, and assumptions easier to challenge.

Reasoning structure

Chatbot

One compressed answer

MiroFish

Actor graph and constraints

Reaction behavior

Chatbot

Advice summary

MiroFish

Multi-round paths

Reviewability

Chatbot

Hard to inspect after the answer

MiroFish

Report, assumptions, and follow-up questions

Open the workspace

Run this use case in MiroFish.

Start simulation
FAQ

Questions before the simulation

What is Patient Therapy Guide AI for?+

It helps healthcare, patient education, care coordination, and health product teams rehearse how patients may understand treatment options, risk discussions, adherence barriers, and follow-up questions before a clinician conversation.

Is Patient Therapy Guide a medical diagnosis or treatment recommendation?+

No. It is not a diagnosis, prescription, treatment recommendation, or substitute for licensed medical care. It helps prepare education gaps and questions that should be reviewed with a licensed clinician.

How does Patient Therapy Guide support shared decision-making?+

It can organize patient concerns, values, treatment-option questions, risk tradeoffs, adherence barriers, and follow-up prompts so patients and clinicians can discuss the care decision together.

Why should therapy guide content be clinician-reviewed?+

Therapy guide content can influence how a patient understands risks, symptoms, medications, follow-up timing, and treatment choices. A licensed clinician or qualified care team should review it before patient use.

What inputs work best for a patient therapy guide?+

Use patient education material, a care plan summary, treatment options, appointment notes, medication instructions, adherence concerns, patient questions, risk explanations, and the next clinician conversation the guide should support.

Who should review the therapy guide before a patient uses it?+

A licensed clinician or qualified care team should review any therapy guide before it is used with a patient, especially when it may affect treatment choices, medication use, risks, symptoms, or follow-up care.