Remote Patient Monitoring
Leveraging mobile technology and connected devices in clinical trials
It's time to accelerate remote patient monitoring adoption
Remote patient monitoring makes it easier for patients to participate and improves recruitment through greater access to diverse patient populations.
The use and management of data from connected devices (wearables, sensors, smartphones, laptops, tablets), mobile platforms, and telemedicine, offers effective clinical care while protecting the patient with ongoing monitoring, ensuring participants and care providers remain connected wherever they are located.
Wearable devices and sensors also enable the collection of richer data and insights to enhance understanding of the effects of treatment and objective measures of intervention effects both in-clinic and in remote free-living settings.
Connecting and engaging patients
ICON Digital Platform gives patients more control and better access to personalised healthcare, right from their own devices and on their own schedule. Easy-to-use devices, with minimal set-up, makes engaging patients easier by integrating care into patients’ daily lives. Patients get full access to a powerful platform that offers interactive health sessions, educational content, and video conferencing.
However remote patient monitoring requires a robust strategy in data management, including digital endpoint validation and interpretation.
Our ICON Insights will help you to understand and successfully address the complexities of implementation of wearable devices in trial design, execution and reporting.
Whitepaper: Wearables and digital endpoint strategy and validation
Although mHealth devices and sensors are continuing to evolve, and it is now possible to capture a vast array of physiological data, the operationalization of digital trial is not without challenges.
- Develop a strategy to identify devices that are "fit for purpose"
- The ICON framework for Digital Endpoint selection and validation to ensure the outcome measurement is robust, reliable, and interpretable
- Address the key considerations that arise when using digital technology to support endpoint generation in clinical studies such as Device Selection, Endpoint Reliability and Sensitivity, Meaningful Change Thresholds, and Analysis Strategy and Interpretation
- Use our checklists for device selection and data strategy
Wearables webinar recordings
Digital endpoint strategy and validation
The COVID-19 pandemic has heightened interest in mHealth and mobile technology to capture patient insights outside of the traditional clinical setting.
Best practices for implementing a successful digital trial
ICON and Intel explore industry concerns about implementation of this technology in a clinical trial, including patient acceptance, device suitability, data complexity and insight generation, operationalisation, privacy and security issues, and regulatory acceptance.
eCOA - insights into equivalence testing methodology and implications for BYOD
In this webinar, we review the accumulating evidence to support measurement equivalence of instruments when migrated to ePRO.
Smartphone sensors to measure novel health outcomes
This webinar explores the novel uses of smartphone sensor measurement in the areas of health, wellness and clinical research and appraises the promise of these approaches in clinical trials.
Activity monitoring setting standards for clinical research
With the introduction of sensors, wearables and apps we can fullly engage patients in real time to increase the quality of data.
Using wearables data to support drug reimbursement
In this webinar learn more about payer requirements for additional evidence, wearables as a potential solution, payer preparations for digital technologies, and more.
Media contributions on wearables, sensors and remote monitoring
Obesity trial surge puts the focus back on decentralisation
Explore the evolving obesity clinical trials landscape and the role of decentralisation and new technologies in this recent CTA article.
Interview with Andy Coravos
In this article, Andy Coravos, founder of HumanFirst, recently acquired by ICON, shares insights on leveraging digital health technologies and wearables to manage chronic conditions.
Current state of drug development, clinical trials and precision measures
This article provides an overview of a recent npj Nature publication, that proposes enough alignment exists between independent traditional COA and DHT libraries to build a single framework for researchers to identify and compare actively-collected versus passively-monitored tools for the same or similar measure.
Data integration frameworks key for embracing big data’s potential
Rick Rosenthal and Paula Fullman explain how to navigate the complexities and challenges of the evolving digital landscape of healthcare data.
ICON acquires HumanFirst to boost support for digital tools in clinical trials
This article from STAT covers ICON’s acquisition of HumanFirst, a cloud-based technology company supporting precision measurement in clinical trials.
IMI Mobilise-D: The next generation of mobility research
In this article, Gerard Quinn, VP, IT Innovation and Informatics, provides an overview on the Innovative Medicines Initiative (IMI) funded Mobilise-D project.
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Beyond the glass: A look at digital pathology’s practical applications and novel possibilities in clinical trials
In this article from Diagnostics World News, Jenny Ross, Pathologist and Medical Director, looks at practical uses of digital pathology technologies and illustrates considerations for their use in global clinical trials.
Patient-first technology development increasing patient centricity
Carrye Nibblelink, Exec Director, Decentralised Clinical Trial Solutions explores how the ICON Digital Platform engages patients throughout their clinical trial journey.
The role of digital health technology tools in supporting medical adherence
Dr Peter Schueler and Dr Isaac R Rodriguez Chavez outline the role of digital health technology tools in supporting medical adherence.
The surge of digital health technologies modernising clinical research
Dr. Isaac R. Rodriguez-Chavez outlines the key considerations when developing digital health technologies.
The innovative 'digiverse' that's propelling transformative decentralised clinical trials
Dr. Isaac R. Rodriguez-Chavez offers his insights on the use of innovative digital health technologies and digital ecosystems to support decentralised clinical trials.
Identifying integrated digital platforms designed for a decentralised future
Matt Harrington explores how the use of digital platforms and associated services can contribute to more adaptable, accessible and efficient clinical trials.
The value of measuring sleep and activity in Alzheimer's disease trials.
Sleep quality and quantity have clinical relevance in Alzheimer's disease. Review the use of wearables in Alzheimer’s disease to provide objective measures of sleep and activity patterns that are not subject to patient recall bias.
- Using objective measures of activity and standardisation of endpoints to clarify the value and impact of exercise in patients with Alzheimer’s disease
- The Journal of Prevention of Alzheimer’s Disease - The case for using actigraphy generated sleep and activity endpoints in Alzheimer’s disease clinical trials
- Can actigraphy outcome measures from existing clinical trials provide a framework for future?
Case studies on wearables, sensors and remote monitoring
Wearables and remote monitoring case study
ICON’s wearables and patient outcomes teams were able to objectively measure cough using patient-centric, novel technologies.
Remote patient monitoring for respiratory measures
Generating respiratory disease specific biomarkers using advanced analytics.
Developing and validating endpoints derived from wearables data
ICON uses AI machine learning algorithms to develop new digital biomarkers from raw accelerometer data.
Management wearables and data in a global trials
ICON’s eCOA team and wearables consultants design, implement and manage a technology solution for a global trial across nine countries amongst patients suffering from a neurological disorder.
Leveraging BYOD, wearables and shareables in Real World Evidence studies
Approaches to leveraging mobile, wearable and shareable technology in observational research
- Webinar: What's Next in eCOA? - New insights into equivalence testing methodology and implications for BYOD
- Article: Bring your own device (BYOD) in clinical trials
- Article: The use of digital technologies to collect patient data in outcomes research
- White paper: On a technology-enabled collision course - clinical research meets clinical practice through Real World Evidence
mHealth and wearables blogs
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Blog: The rise of precision outcome measures
Precision outcome measures are the means by which to evaluate a meaningful change on the exact outcome of interest, regardless of tool or instrument.
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Blog: Why using COAs and DHTs together is the future of clinical research
Though both COAs and DHTs are tools used to evaluate a treatment’s impact, they often exist in separate spheres. We argue that combining these two approaches in the same study can help researchers gather better data and improve the likelihood of regulatory approval.
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Blog: Digital health: Why evaluating human factors is essential
With the rapidly evolving technology, digital health is transforming healthcare, emerging as a promising solution to reduce rising healthcare costs and improve patient care.
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Blog: Digital health: Managing cybersecurity risks
When developing a new digital health device, as well as maintaining an existing device, securing the device from cybersecurity attacks is critical.
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Blog: Utilising connected sensors to power diverse and equitable clinical trials
Our publication in Nature npj Digital Medicine outlines current evidence and a solution framework for diversity in research using digital health technologies.
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Blog: Enabling a new way to select fit-for-purpose COAs to simplify clinical protocols
While digital health technologies are one piece of the clinical protocol puzzle, holistic protocol design requires more breadth.
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Blog: Tested, tried and true: Why digital biomarkers are the AI & ML strategy pharma should prioritise
Rather than chasing generative AI, pharma executives can focus their AI & machine learning (ML) strategies for drug development on investing in and deploying connected sensors to reduce costs & improve patient outcomes.
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Blog: Insights from PSI 2024: Advancements in digital health technology
ICON’s statisticians share insights from the PSI’s 2024 conference where they presented on advancements in digital health technology and decision making.
Real World Data insights
ICON's real world data (RWD) continues to drive healthcare and research discussions and decisions. Stay up to date with the latest information that regulators, payers and providers demand.
Receive more insights on mHealth & Wearables from ICON
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