Skip Ribbon Commands
Skip to main content

Innovate Clinical Trials with smart devices

Internet of Things (IoT) and connected smart devices have the potential to improve your clinical trials through better data quality and higher patient retention. But there are several important considerations to make before using IoT in clinical trials, such as choice of device, regulatory compliance, security and your digital setup. 

What are IoT devices for clinical trials?

IoT devices for clinical trials are digital tools for gathering and measuring ‘digital biomarkers’ from patients. Depending on the specific trial, capabilities of IoT devices are available for different functions:

  • Physical devices, such as a wearable sensor designed specifically to record and process biological data.

  • Software as a Medical Device are apps and programs that allow smartphones and smartwatches to collect biological data in an accurate and compliant manner.

What benefits do IoT devices bring to clinical trials?

By using IoT devices to gather data, it is possible to obtain a higher data quality while at the same time lowering costs. The benefits of using IoT devices include:

  • Faster data collection – Often, data will be available for analysis in near real-time.

  • Better patient retention – IoT devices are usually easy for patients to use, have a minimal impact on their daily lives and can limit the need to visit a clinic or hospital for data monitoring.

  • Higher data quality – With IoT devices, measurements are conducted with minimal patient involvement, often 24 hours a day at very high frequency levels, increasing the data grid.

  • Larger sample sizes – Due to the unobtrusive nature of IoT devices and the fast and accurate data collection, it is much easier to gather a sufficiently large sample of data.   

  • Shorter trial span – With higher patient retention and more frequent data creation, the actual length of your clinical trials can be shortened greatly and thereby increase product time-to-market.

What you need to consider before including IoT devices in clinical trials

While providing many benefits, using IoT in clinical trials is not straight forward. As a clinical trial manager, you need to consider:

  • The nature of the study – is it a screening trial, a diagnosis trial or a treatment trial? The trial design affects the compliance process and technical requirements.

  • What data you wish to gather – a full overview of the desired data and level of data quality is important when screening to select the right type of device. 

  • Your digital setup – are you fully equipped to receive, process and safely store the collected data? Consult your Technology Officer or IT Manager if in doubt.

How can NNIT help you find the right IoT setup to support your specific needs?

At NNIT, we can guide you every step of the way.

We can help with:

  • Device Selection – based on your trial design, we evaluate potential devices from both a technical and compliance perspective, providing you with a full report and recommendations. 

  • Device Qualification – we help secure approval for non-compliant devices.

  • Device Management – we manage the devices and ensure that they function properly throughout their entire lifecycle.

  • Secure Communication – we ensure the secure data transfer and the integrity of the collected data from sensor to infrastructure.

  • Data Consolidation – we make sure the data management is regulatory compliant and that the gathered data is ready for analysis.

A NNIT solution guarantees expert advisory services and a high-quality, unique product – tailored to your needs, and with a high level of data security. We offer regulation compliant medical IT solutions to the life science industry, including platforms to store patient data and test.
 

 

 

 

Stefan Brügger+45 3077 9049sefb@nnit.comManaging Consultant, Life Sciences Deliveryhttps://www.linkedin.com/in/stefan-br%C3%BCgger-6bb8498a/Stefan Brügger

 

 

Robotic Process Automation - streamline repetitive business taskshttps://www.nnit.com/OfferingsAndArticles/Pages/Robotic-Process-Automation---streamline-repetitive-business-tasks.aspxRobotic Process Automation - streamline repetitive business tasks
Clinical Trial Regulationhttps://www.nnit.com/Life-Sciences/Clinical-Development/Pages/Clinical-Trial-Regulation.aspxClinical Trial Regulation
Navigating the new reality of real-time clinical data collectionhttps://www.nnit.com/OfferingsAndArticles/Pages/Navigating-the-new-reality-of-real-time-clinical-data-collection.aspxNavigating the new reality of real-time clinical data collection
Bring innovation to your clinical trials with new digital toolshttps://www.nnit.com/OfferingsAndArticles/Pages/Bring-innovation-to-your-clinical-trials-with-new-digital-tools.aspxBring innovation to your clinical trials with new digital tools
eClinicalhttps://www.nnit.com/Life-Sciences/Clinical-Development/Pages/eClinical.aspxeClinical
Complete data management system in dual languages up and running in just 6 weekshttps://www.nnit.com/CustomerCases/Pages/edc-ctms-rundo.aspxComplete data management system in dual languages up and running in just 6 weeks
Break through complexityhttps://www.nnit.com/OfferingsAndArticles/Pages/NNIT_Datasheet_Enterprise-Architecture_v3.aspxBreak through complexity
Clinical Data Warehouse for major pharmaceutical companyhttps://www.nnit.com/CustomerCases/Pages/clinical-data-warehouse.aspxClinical Data Warehouse for major pharmaceutical company
White paper: Information Management in Life Scienceshttps://www.nnit.com/Others/WP_DataResponsibility_WEB_v2.pdfWhite paper: Information Management in Life Sciences