SMART SENSING insights
illustration of decentralized clinical trials

Enhancing Medical Trials: Digital Decentralized Clinical Trials

Tomorrow’s healthcare isn’t just about the transformation into a fully digitized and interconnected system; it’s also about nurturing, approving, and implementing innovative digital medical products. To gain market approval, innovators must provide robust evidence demonstrating effectiveness, performance, data protection, security, and interoperability. Currently, the biggest hurdle isn’t just the stringent evidence requirements; it’s how we collect that data. Traditional clinical studies may not be the best fit for digital medical products. Instead, the future of clinical trials is digital and decentralized. Here’s an overview of the key characteristics of clinical studies, multicenter clinical studies, and dezentralized clinical trials:

Clinical StudiesMulticenter StudiesDigital Decentralized
Clinical Trials
LocationConducted at specific
study centers, with
fewer study centers
available for rare diseases
Conducted at multiple
study centers across
regions
Conducted remotely,
often at participants’
homes
Data Collection
& Evaluation
Manual data collection,
paper based or using site
specific electronic
systems at hospitals,
research facilities
or other clinical
institutions; on site visits
Combination of manual
and electronic data
collection across sites,
often requiring site visits
Automated data collection
via apps/devices;
real-time,
location-independent
access to data through
a study management
system
Participant
Engagement
In-person visits
required; participants
must be willing to travel
Primarily in-person visits
at various centers, some
remote elements possible
Virtual visits, using
digital tools
RecruitmentLimited to local
populations; recruitment
of test subjects
on-site through referrals
or advertisements
Broader reach due to
multiple centers, but still
site-specific recruitment
Broader reach through
online platforms,
including diverse
populations
Regulatory
Compliance
Well-established
processes
Established processes
across multiple sites, with
local adaptations
Evolving regulations,
requiring new
compliance strategies

Digital, decentralized clinical trials enhance traditional clinical trials without replacing them. They simplify study participation by moving the trial to the participant’s immediate surroundings: their home.

Here are five key advantages of Decentralized Clinical Trials (DCTs):

1. Participants: Less effort and more engagement 

DCTs tend to achieve higher participant acceptance compared to traditional clinical studies, where 30% of all participants end up dropping out (Cassidy-Soto et al., 2021). One key factor is the reduced effort required from both participants and trial centers. Since 70% of participants live more than two hours away from the trial center, it is mandatory for participants in traditional clinical trials to be willing to travel (ibid.). Participants of DCTs save time and energy by avoiding long journeys, which is particularly beneficial for those in remote areas.

Furthermore, instead of having a single orientation session at the trial’s outset, DCTs provide ongoing information throughout the study. This continuous communication fosters greater engagement and enhances compliance among participants, while also reducing the risk of drop-out.

2. Recruiting: Larger participant pool and greater diversity

80% of traditional clinical trials are delayed or terminated due to recruitment problems (Desai, 2020). That’s what DCTs leverage: Location independence facilitates easier participant recruitment, significantly expanding the pool of possible test subjects from the outset. Since distance between participants and the study center is no longer a factor in selection, it allows for a more diverse group of individuals. Another plus: Since patients can register from home and submit their data digitally, the hurdles to participation are reduced, too.

3. Costs: Lower Investments Required for Market Entry

DCTs play a key role in reducing the average costs associated with the market entry of a medical device. Because they are essential for generating the necessary evidence, clinical studies represent a significant investment prior to market launch. By streamlining the recruiting and registration process, speeding up data collection, reducing personnel costs, and eliminating the need for on-site management, the digitalization of clinical trials tremendously reduces the average cost for the market launch of a medical product.

4. Time: More time for research, and less for administration

New medical products typically require a long time to make it to market. While DCTs don’t fundamentally alter this reality, they do significantly reduce the time and effort needed for essential studies, ultimately benefiting the research team. DiMasi et al. (2022) recently showed that DCTs can reduce the overall duration of clinical trials by 10%.

Study management systems like DPM.research eliminate redundant data administration processes by ensuring that patient data is collected just once. This data is then accessible through the central platform, allowing for on-demand access – location-independent and across multiple processes. During a DCT, the clinical investigator and a virtual support team continuously collect data, allowing them to supervise participants closely without the need for time-consuming on-site visits. In sum, DCTs enhance the care provided to study participants while simultaneously simplifying and increasing the efficiency of researchers’ work.

5. Data Quality: Precise, standardized, driving better outcomes

DCTs rely on standardized processes, resulting in enhanced connectivity and improved data flow among all stakeholders. The recruitment of test subjects is data-driven, resulting in a more targeted selection and enrollment process. Data is synchronized continuously and in real-time, allowing medical device manufacturers to gain a deeper understanding of how their products impact health and well-being.

Although DCTs provide significant advantages over traditional clinical trials, they also face specific regulatory compliance challenges that need to be addressed for successful implementation. Learn more in our guide to Data Protection in Clinical Trials: Privacy and Compliance.


Image copyright: iStock/NanoStockk

Christian Weigand

Christian Weigand

Christian is an expert in computer science and digital health, specialized in interoperability of medical devices, DiGA / DTx applications, and hospital information systems. He is head of the Fraunhofer IIS Mobile Health Lab. He has previously served as CTO at the Medical Valley Digital Health Application Center (dmac) for 6 years. Further affiliations include the National Coordination Office for Interoperability @gematik / Interop Council, DGBMT working group mHealth, and the Cybermed expert group at the Alliance for Cybersecurity.

Add comment

Get started now

Click here for a free demo version of our study management system DPM.research

Get in touch with us

Do you have any questions concerning our product portfolio or you would like to learn more about our customized services? Do not hesitate to contact me:

Christian Weigand

Christian Weigand
Head of Mobile Health Lab Bamberg
Digital Health and Analytics | Fraunhofer IIS

mhealth-lab@iis.fraunhofer.de

All Categories