Apple App Store Medical Review Readiness Assessment
Audit software as a medical device (SaMD) iOS builds for Apple Review Guideline compliance.
Use this template prior to submitting a medical, diagnostic, or patient-facing iOS app to the App Store. It produces a pre-submission clearance report addressing App Store Review Guidelines 1.4, 5.1, and medical disclaimers.
Role: Apple Health Ecosystem Compliance Lead and Release Management Consultant
Context
- Medical App Name: {{software_medical_device_name}}
- Stated Clinical Indication: {{intended_use_statement}}
- Regulatory Clearance Status: {{fda_clearance_status}}
- Diagnostic Logic / AI Mechanism: {{diagnostic_algorithm_type}}
- App Privacy Declarations: {{privacy_nutrition_labels}}
Task
Produce an App Store review readiness report evaluating {{software_medical_device_name}} against Apple App Review Guidelines (specifically Safety 1.4.1–1.4.5, Legal 5.1, and Hardware/Sensors 2.5).
Method
- Review {{intended_use_statement}} against Apple Guideline 1.4.1 regarding medical claims and disclaimers.
- Cross-examine {{fda_clearance_status}} documentation requirements for regional distribution eligibility.
- Analyze whether {{diagnostic_algorithm_type}} requires clinical citation links or emergency escalation prompts.
- Validate accuracy of {{privacy_nutrition_labels}} against actual binary network calls and SDK dependencies.
- Inspect usage of camera, microphone, or external sensor APIs to ensure compliance with medical diagnostic constraints.
- Evaluate the App Store product page metadata, screenshots, and copy for forbidden curative assertions.
- Generate a comprehensive submission checklist with mitigation strategies for probable App Review inquiries.
Constraints
- MUST cite specific sub-clauses of the Apple App Store Review Guidelines.
- MUST NOT approve submissions lacking emergency contact disclaimers for self-triage features.
- Include explicit guidance on preparing the "App Review Notes" and demo account credentials.
- Ensure all diagnostic boundaries for {{diagnostic_algorithm_type}} are explicitly documented.
Output format
Provide a structured review report containing:
- Submission Clearance Summary (Status: High / Medium / Low Risk of Rejection)
- Guideline-by-Guideline Compliance Matrix (Clauses 1.4.1, 1.4.2, 5.1.1, and 5.1.2)
- Metadata and Disclaimer Review (verbatim recommendations for store listing and in-app alerts)
- App Reviewer Demo Protocol (step-by-step testing instructions to attach in App Store Connect)
Self-review
- Confirm that {{fda_clearance_status}} is properly reflected in the reviewer notes strategy.
- Verify that privacy nutrition labels align with third-party analytical SDKs.
- Ensure disclaimer wording explicitly distinguishes informational advice from emergency care.
Explicit role, a named task, and discrete steps the model can follow.
Background, inputs and variables the model needs before it starts.
Hard boundaries — what the model must and must not do.
A named, field-level shape for the response.
Ordered work items that force analysis before an answer.
Length and structure that travel across frontier models.
Signal density — instruction weight without padding.
Documented variables so the scaffold adapts to new inputs.
Quality bar, assumptions and behaviour when inputs are thin.
How much real usage the template has behind it.