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IDEAL-D Framework for Medical Device Evaluation

Methodpeer-reviewed✓ Source-grounded

The IDEAL-D framework helps improve how medical devices are tested and approved by suggesting a step-by-step process that collects better evidence as the device moves from early use to widespread adoption.

At a glance

Use when

Developing regulatory pathways for novel medical devices, designing clinical evaluation programs, improving post-market surveillance strategies

Avoid when

When regulatory systems lack capacity for adaptive approval, or when real-world data infrastructure is insufficient

Inputs

Device design, preclinical data, clinical study results, real-world performance data

Outputs

Staged regulatory decisions, evidence generation roadmap, recommendations for further evaluation

How it works

IDEAL-D is an extension of the IDEAL (Idea, Development, Exploration, Assessment, Long-term study) framework adapted specifically for medical devices. It proposes a staged, prospective approach to evidence generation across the device lifecycle, supporting graduated regulatory approval based on evolving data from clinical use.

HTA domains
Clinical Effectiveness, Safety, Organisational aspects
Assumptions
Device performance can be evaluated progressively; early-stage data informs later-stage study design; regulatory flexibility improves patient outcomes
Strengths
Supports innovation while ensuring safety, promotes systematic evidence generation, aligns with real-world use patterns, improves transparency
Limitations
Requires regulatory flexibility and international coordination, depends on robust post-market data collection, may slow initial adoption
Also known as
IDEAL-D, IDEAL for Devices

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Beta record. Generated from the primary source via AI extraction and independent audit, pending final human review.