Getting a new medical device ready for the market is a complicated journey with many considerations and stakeholders. Founders are often engrossed in product development, precision engineering, and funding, which can delay clinical evidence planning until it is almost too late.
Treating a clinical evidence strategy for medical device startups as an afterthought is a risky move. Many submissions fail their initial FDA acceptance review, often due to incomplete data or poor predicate analysis. Because of this, early planning is vital for businesses.
Clinical evidence expectations vary by device type, risk, intended use, claims, and geography. To succeed, medical device clinical trial planning must begin well before the first participant is enrolled. Partnering with a specialized medical device CRO for startups helps navigate these variables, ensuring your data is robust and compliant.
This blog is all about how to build a solid framework before initiating a first-in-human study for medical device startup protocol.
Table of Contents
Why Medical Device Startups Need a Clinical Evidence Strategy Early
Clinical Evidence Is Not Just a Regulatory Requirement
Clinical evidence planning for medical devices is a core business asset. Quality data supports regulatory submissions, strengthens product positioning, facilitates reimbursement discussions, satisfies investor due diligence, fuels publication strategies and drives commercial acceptance.
Early Studies Shape Future Claims
Decisions made now have an effect throughout your product’s lifecycle. Conducting an early feasibility study for a medical device startup can influence the endpoints, populations, and comparator choices used in studies. A well-designed early study sets out the course for all future marketing and clinical claims and decisions.
Poor Early Planning Can Create Expensive Delays
Poor planning in early-stage medical device clinical research can prove to be costly. Common pitfalls such as unclear intended use, weak endpoint selection, unsuitable candidates, underpowered designs, missing usability data, or collecting data that cannot support the next development stage can easily result in regulatory pushback.
Most Startups Have Limited Time, Budget, and Data
For emerging companies, resources are often scarce and limited. Most cannot afford to run exploratory studies longer than absolutely necessary. Early clinical studies should be lean but strategic. Bringing in a specialist medical device CRO for startups helps ease the process and maximize the return on investment.
Start With the Intended Use and Device Claims
What Is the Device Intended to Do?
Before writing a protocol, define the device’s core purpose by asking what it is designed for. Is it to diagnose an illness, monitor a chronic illness, predict a clinical event, support treatment decisions, deliver therapy, guide patient behavior, improve physical function, or collect remote physiological data?
Who Is the Intended User?
Identify who will interact with the device. Will it be operated by patients at home, healthy consumers, specialized clinicians, caregivers, athletes, older adults, or people managing a specific chronic disease? The user profile dictates the complexity of your study design.
Where Will the Device Be Used?
Determine if the device will be utilized in a home setting, outpatient clinic, hospital ward, sports lab, rehabilitation center, community setting, or through a hybrid study model.
What Claims Will the Evidence Need to Support?
Your clinical evidence strategy for the medical device relies on your claims. Claims regarding diagnostic accuracy, usability, safety, clinical benefit, technical performance, patient adherence, or decision support require different evidence strategies. For example, do not test for general satisfaction if your FDA claim hinges on diagnostic accuracy.
Understand the Regulatory Pathway Before Designing the Study
EU MDR Considerations
Startups targeting Europe must understand how their device is classified under the European Union Medical Device Regulation (MDR). Knowing what clinical evaluation requirements apply and whether a formal clinical investigation is necessary makes the difference between a successful and unsuccessful application. The European Commission’s MDCG guidance provides essential documentation on clinical investigation, evaluation, and classification.
FDA Considerations
For the US market, one needs to determine if a study involves an investigational device, if an Investigational Device Exemption (IDE) is required, and if the study poses significant or non-significant risk. The FDA states that an IDE allows an investigational device to be used to collect safety and effectiveness data; clinical evaluations generally require an approved IDE unless exempt.
Digital Health and Software-Based Devices
For Software as a Medical Device (SaMD), apps, wearables, and sensors, the evidence strategy must consider software functionality, data capture, algorithm performance, cybersecurity, and remote data integrity. FDA guidance on digital health technologies notes that tools used for remote data acquisition can include hardware and software, requiring validation approaches designed for digital outputs.
Why Regulatory Input Should Come Before Protocol Finalization
Protocol design should not be isolated from your regulatory strategy. Early alignment ensures you do not spend months generating data that is clinically relevant but ultimately unfit for submissions or commercial claims.
Define the Purpose of the First Human Study
Is It a Feasibility Study?
In an early feasibility study, the medical device protocol is utilized when you need to understand whether device mechanics, study protocols, recruitment strategies, or data capture methods make sense.
Is It a Pilot Study?
A pilot study is ideal for early signals of safety, usability, performance, or potential clinical effects before firmly committing to a massive pivotal trial.
Is It a Validation Study?
A clinical validation strategy for medical device startups is deployed when the device’s output must be rigorously compared against a gold-standard reference method or accepted comparator.
Is It an Early Clinical Investigation?
Use this approach when the study must generate formal safety or performance data directly within the intended patient population, serving as a preliminary step to a larger regulatory submission.
Choose Endpoints That Match the Evidence Goal
Proper medical device endpoint planning for startups is the core of a successful trial.
Safety Endpoints
Safety is non-negotiable. Examples include adverse events, device-related adverse events, general tolerability, skin irritation, incorrect readings or false alerts, user misuse, and clinical risks linked to the device output.
Performance Endpoints
Performance metrics are designed to prove technical function. Examples include accuracy, precision, repeatability, sensitivity to change, agreement with reference methods, technical success rates, and algorithm performance.
Usability and Human Factors Endpoints
Devices that are difficult to use could fail. Measure ease of use, user comprehension, setup success, task completion rates, comfort, instructions for use (IFU), user error rates, and participant satisfaction.
Clinical Endpoints
These vary by device but may include symptom changes, functional improvement, biomarkers, physiological responses, quality of life, treatment adherence, or disease-specific outcome measures.
Data Quality Endpoints
In connected devices, data integrity is critical. Track missing data rates, signal quality, data completeness, syncing success, device wear time, app engagement, and protocol adherence. Leveraging a medical device CRO for startups ensures these technical endpoints are monitored rigorously.
Match the Study Population to the Intended Use
Healthy Volunteers vs Target Population
A vital decision in medical device clinical trial planning for startups is deciding whether healthy volunteers are sufficient or if the intended patient population is required to prove efficacy.
Inclusion and Exclusion Criteria
Be exact. Define parameters regarding disease status, age, BMI, concomitant medication, activity levels, symptoms, device familiarity, and comorbidities.
Recruitment Feasibility
Startups often underestimate the effort that goes into recruitment. Validate whether your population is realistically recruitable within your budget and timeline. This is where early CRO support for medical device startups is invaluable.
Diversity and Generalizability
Ensure data reflects what happens in real-world situations. Account for age, sex, body composition, skin tone, digital literacy, disease severity, and real-world user variation.
Plan the Study Design Before Writing the Protocol
Study Type
Several options exist, including observational, interventional, feasibility, validation, usability, crossover, comparative, single-arm, or fully controlled studies.
Comparator or Reference Standard
Many device studies require a robust comparator, such as a standard clinical assessment, laboratory measurement, clinician judgment, or an already proven reference device.
Sample Size and Statistical Rationale
For early-stage medical device clinical research, sample size might be based on logistical feasibility or desired precision rather than formal hypothesis testing, but it must still be statistically justified to regulators.
Study Duration and Visit Schedule
Determine exactly how long the study needs to run to capture a meaningful signal without unnecessarily extending timelines.
Onsite, Decentralized or Hybrid Design
This is a practical decision based on endpoint types, participant burden, and whether assessments require clinical supervision. The FDA’s pivotal study design guidance reinforces the importance of considering these principles early on.
Common Mistakes Medical Device Startups Make Before Their First Human Study
- Choosing Endpoints That Do Not Support the Intended Claim: Measuring general user satisfaction is useless if your regulatory claim hinges on diagnostic accuracy. Proper medical device endpoint planning for startups prevents this expensive mistake.
- Recruiting the Wrong Population: Testing on convenient, healthy volunteers may fail to answer questions about how it performs for intended users with chronic conditions.
- Underestimating Usability and Human Factors: Poor usability undermines adherence, jeopardizes safety, and ruins data quality.
- Waiting Too Long to Involve Clinical Operations and Regulatory Experts: Delaying clinical investigation planning for medical device startups leads to protocol redesigns and avoidable costs. Securing CRO support for medical device startups early mitigates this risk.
How Atlantia Supports Medical Device Startups with Early Clinical Evidence?
Finding the right partner is critical. As a specialized medical device CRO for startups, Atlantia Clinical Trials provides end-to-end support tailored to the timelines of emerging companies.
Early Study Design and Protocol Development
We help translate device claims into practical, statistically sound clinical study designs, ensuring your early-stage medical device clinical research yields usable and accurate data.
Feasibility, Pilot, and Validation Studies
Atlantia supports early-stage studies designed to test safety, usability, performance, recruitment, and data quality before you scale up.
Clinical Operations Across EU and USA Sites
With facilities in Cork, Ireland, and Chicago, USA, we provide robust clinical operations that meet regional regulatory requirements.
Participant Recruitment and Study Delivery
We thrive when it comes to complex recruitment. Whether you need healthy volunteers, specific target populations, metabolic health cohorts, performance-focused individuals, or older adults, our solid database of 40,000+ participants ensure rapid and reliable enrollment.
Human Performance Lab and Specialist Assessments
If your device involves movement, physical strength, endurance, cardiovascular response, or wearables, Atlantia’s Human Performance Lab offers the specialized assessments required for validation.
Hybrid and Decentralized Study Models
We support digital health tools, wearables, and remote monitoring platforms through adaptable hybrid and decentralized study models.
Sponsor-Ready Evidence Packages
We provide audited reporting and endpoint interpretation. Our evidence packages help secure investor confidence and support your next stage of development. Obtaining experienced CRO support for medical device startups ensures your data is ready for regulators.
Conclusion: Your First Human Study Should Build the Evidence Pathway
Your first-in-human study medical device protocol is a vital, strategic milestone that sets the foundation for your commercial future. A meticulously crafted clinical evidence strategy for medical device startups ensures that every data point collected serves your regulatory, clinical, and financial goals. By defining your claims early, understanding the regulatory landscape, aligning endpoints with intended use, and partnering with experienced professionals, you can navigate the complex clinical landscape with total confidence.
Planning your first human study? Atlantia Clinical Trials acts as a premier medical device CRO for startups, supporting developers with medical device clinical evidence planning, early feasibility studies, rigorous clinical validation strategy for medical device startups, accelerated participant recruitment, and seamless onsite and hybrid study delivery across the EU and USA.
Contact Atlantia Clinical Trials today to discuss your clinical strategy and accelerate your path to market.