Your Clinical Background Section Is Not Background Material
Most CERs I review start with a clinical background section that reads like a medical textbook chapter. Twenty pages on anatomy, pathophysiology, and treatment options—generic content copied from literature reviews. Then the reviewers ask: How does any of this support your device’s safety and performance claims?
In This Article
The clinical background section is not meant to be a literature dump. It is not a summary of general medical knowledge. It is not background material in the traditional sense.
It is the foundation of your entire clinical evaluation. Everything that follows—your device description, your clinical data, your benefit-risk analysis—depends on how you structure this section.
Yet I see teams treat it as an afterthought. Something to fill in before the real work begins. Something to delegate to a junior writer who copies from UpToDate or review articles.
This approach creates problems that surface later in the submission process.
What the Clinical Background Actually Does
The clinical background section establishes the clinical context in which your device operates. It defines the medical condition, the patient population, the current standard of care, and the unmet clinical needs your device addresses.
But more importantly, it sets the frame for clinical evaluation.
MDR Annex XIV Part A requires that the clinical evaluation demonstrates the device meets the general safety and performance requirements (GSPR). To do that, you need to show what performance means in your clinical context. What outcomes matter. What risks are acceptable. What comparators are relevant.
This cannot be done without a clear clinical foundation.
The clinical background defines the clinical endpoints, comparators, and benefit-risk framework before you present any data. It tells the reviewer what evidence would be sufficient and why.
When this section is weak, everything downstream becomes harder to defend. Your clinical data looks disconnected from clinical reality. Your benefit-risk analysis lacks a reference point. Your equivalence claim appears arbitrary.
The Structure That Actually Works
A clinical background section should be structured to serve the evaluation, not to educate on general medicine.
Start with the medical condition. Define it precisely. Not just the disease name, but the specific presentation, severity, and stage that your device targets. If your device treats chronic lower back pain, specify whether you mean mechanical pain, radicular pain, or both. Specify duration. Specify patient characteristics that matter.
This precision matters because it defines your intended patient population. And your patient population drives your clinical data requirements and your choice of comparators.
Next, describe the current standard of care. Not every possible treatment that exists in the literature, but the treatments that are actually used for your specific patient population in your intended markets.
This is where many CERs fail. They list every drug, every intervention, every surgical option mentioned in guidelines. But guidelines cover broad populations. Your device targets a specific subset.
What do clinicians actually use for that subset? What works? What does not work? Where are the gaps?
Describing every possible treatment without explaining which ones are relevant comparators for your device creates confusion. Reviewers cannot tell if you understand your competitive landscape or if you are avoiding direct comparison.
Then identify the unmet clinical need. What problem remains unsolved by current treatments? What patient population is underserved? What outcomes are suboptimal?
This is not marketing language. It is clinical reasoning. You are explaining why a new device would add value to clinical practice. You are setting up the justification for your device’s intended purpose and your performance claims.
If current treatments already achieve excellent outcomes with minimal risk, your device faces a high bar. If current treatments have significant limitations, your device has room to demonstrate benefit even if it introduces new risks.
This is the benefit-risk framework taking shape.
How This Section Connects to Clinical Data
The clinical background section should prepare the reader for the data you are about to present.
If you define the patient population precisely, the reader knows what patient characteristics to look for in your clinical data. If the studies you cite later include different populations, the discrepancy becomes obvious.
If you describe current standard of care accurately, the reader knows what comparators to expect in your clinical data. If you present studies that compare your device to outdated treatments, the relevance becomes questionable.
If you identify specific unmet needs, the reader knows what clinical endpoints matter. If your clinical data focuses on surrogate endpoints that do not address those needs, the gap becomes visible.
This is why copying generic background material creates problems. It does not align with your device. It does not align with your data. It does not align with your claims.
The reviewers notice.
Every statement in the clinical background should have a purpose. If it does not inform the evaluation of your device, it does not belong in the CER.
The Regulatory Expectations You Need to Meet
MDCG 2020-5 on Clinical Evaluation provides guidance on what should be included in the clinical background. It emphasizes that the clinical background must be device-specific and evaluation-driven.
This means you cannot use a template. You cannot copy sections from other CERs. You cannot write this section without understanding your device and your clinical data.
The background must reflect the clinical context relevant to your specific device and intended purpose.
It must reference current medical literature and guidelines, but only the parts that matter for evaluating your device.
It must demonstrate that you understand the clinical landscape well enough to position your device appropriately and evaluate it fairly.
When Notified Bodies review this section, they are looking for clinical competence. They want to see that the person writing this CER understands the medicine, not just the regulatory requirements.
If the clinical background reads like a Wikipedia article, they question whether the rest of the CER is trustworthy.
Including irrelevant clinical information to make the section look thorough signals that you do not understand what matters for your device. Reviewers see this as a red flag, not a strength.
What Happens When This Section Is Done Right
When the clinical background is well-structured, the rest of the CER flows naturally.
Your device description can reference the clinical needs and show how design features address them.
Your clinical data appraisal can evaluate studies against the clinical context you established. You have a clear basis for including or excluding studies.
Your benefit-risk analysis can weigh outcomes and risks against the standard of care and unmet needs you described. You have a rational framework for acceptability.
Your conclusions can tie back to the clinical context and show how your device fits into clinical practice.
Everything is connected. Everything makes sense.
Reviewers can follow your reasoning. They may disagree with specific judgments, but they can see the logic.
This is what a strong clinical evaluation looks like.
Building the Foundation Before You Write
The clinical background section should not be written in isolation. It should be developed as part of your clinical evaluation planning.
Before you start writing, answer these questions:
What specific clinical condition does my device treat or diagnose?
What patient population am I targeting, and how is it defined?
What are the current treatment options for this population, and how well do they work?
What clinical gaps or unmet needs exist?
What clinical outcomes matter most to patients and clinicians?
What risks are associated with current treatments?
What comparators are clinically relevant for evaluating my device?
Once you have clear answers, you have the outline for your clinical background. You know what to include and what to leave out. You know what literature to cite and why.
The writing becomes straightforward because the thinking is done.
The clinical background is not a writing task. It is a clinical reasoning task that happens to be documented in writing.
The Test of a Strong Clinical Background
Here is how you know if your clinical background section is working:
Can someone who knows medicine but not your device read this section and understand what clinical problem you are solving?
Can a reviewer read this section and predict what clinical data would be relevant for your device?
Does this section set clear expectations for clinical endpoints, comparators, and benefit-risk considerations?
If the answer to any of these is no, the section needs work.
The clinical background is not about showing how much you know. It is about showing that you know what matters.
It is the difference between a CER that passes review and a CER that generates deficiency letters asking you to clarify your clinical context before anyone can evaluate your data.
Get this section right, and the rest of the CER has a solid foundation. Get it wrong, and everything else rests on unstable ground.
Most teams realize this too late.
Peace,
Hatem
Clinical Evaluation Expert for Medical Devices
Follow me for more insights and practical advice.
Frequently Asked Questions
What is a Clinical Evaluation Report (CER)?
A CER is a mandatory document under MDR 2017/745 that demonstrates the safety and performance of a medical device through systematic analysis of clinical data. It must be updated throughout the device lifecycle based on PMCF findings.
How often should the CER be updated?
The CER should be updated whenever significant new clinical data becomes available, after PMCF activities, when there are changes to the device or intended purpose, and at minimum during annual reviews as part of post-market surveillance.
What causes CER rejection by Notified Bodies?
Common reasons include inadequate equivalence demonstration, insufficient clinical data for claims, poorly structured SOTA analysis, missing gap analysis, and lack of clear benefit-risk determination. Structure and logical flow are as important as the data itself.
Which MDCG guidance documents are most relevant for clinical evaluation?
Key documents include MDCG 2020-5 (Equivalence), MDCG 2020-6 (Sufficient Clinical Evidence), MDCG 2020-13 (CEAR Template), MDCG 2020-7 (PMCF Plan), and MDCG 2020-8 (PMCF Evaluation Report).
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Peace, Hatem
Your Clinical Evaluation Partner
Follow me for more insights and practical advice.
– Regulation (EU) 2017/745 (MDR) Annex XIV Part A
– MDCG 2020-5 Clinical Evaluation Assessment Report Template
– MDCG 2020-6 Regulation (EU) 2017/745: Sufficient Clinical Evidence for Legacy Devices





