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A Market Research Report on

10 Ways in which

Technology is

Driving Better

Efficiency in

Clinical Trials

Advanced Technologies Assisting in Conducting Clinical Trials

Technologies that are driving digitization in clinical trials

Device connectivity and

Patient recruitment

Blockchain

Sensing technologies

Mobile technologies

ultra-low-cost IoT

through AI

eSource and electronic

Patient data capturing

Remote monitoring

Virtual clinical trials

Wearable technologies

health record integration

Transforming Clinical Trials with the Help of Technology (1/5)

New technological innovations are improving the efficiency and productivity of clinical trials using novel outcomes, increasing patient engagement,

and reducing patient burden

Device connectivity and ultra-lowcost IoT

Blockchain

▪ Connected devices are helping overcome the misinterpretation

▪ Blockchain-based solutions are providing more efficient ways of of data when it comes to the impact of drug dose-related side handling the early stages of clinical trials, particularly in relation effects, outcomes, and the patient’s general well-being to recruitment

▪ Ultra-low-cost connectivity components, coupled with direct-to-

▪ As blockchain provides a controlled way of accessing proof of cloud technologies, such as NB-IoT/LTE-M, are fueling the the existence of an entity, it is being used for monitoring the transformation toward fully connected and digitized clinical trials existence of consent

▪ Novartis, with the introduction of the connected BreezHaler,

▪ These solutions are assisting researchers, sponsors, and closely monitor patients’ drug intake during clinical trials regulators in better coordinating the need for re-permission for each batch of patient data corresponding to a particular version of a trial protocol by exchanging consent information and managing it

Transforming Clinical Trials with the Help of Technology (2/5)

Mobile technologies offer the potential to reduce the costs of conducting clinical trials by collecting high-quality information on health outcomes in

real-world settings that are relevant to patients and clinicians

Sensing Technologies

Mobile Technologies

▪ Advanced sensors are becoming smaller, simpler to

▪ Mobile technology is enabling the collection of real-time data incorporate, and more useful without interfering with a patient's regarding activity or movements that may not be detectable at normal activities that are eventually taking the position of the same frequency using other equipment, such as an manual inspections and evaluations

accelerometer worn on a limb, waist, or put on the wheelchair, or a sensor built in a smartphone or gaming cell

▪ The development of new materials is also helping to advance the field of sensing technologies, a Korean team created

▪ Continuous measurement enables early illness progression prototype contact lenses that assess blood glucose levels and detection, when treatments may be more potent intraocular pressure using graphene and metal nanowires

▪ This might make it possible to evaluate the success of drug

▪ Contactless sensing is playing a key role in how data is development programs and boost the effectiveness of the trial collected, with the use of Near-Field Coherent Sensing (NCS) –

design

it is possible to avoid skin contact 4

Transforming Clinical Trials with the Help of Technology (3/5)

Digital recruitment tools captures opted-in patient information to enable patient recruitment companies to instantly share other trial opportunities

that arise in the future

Patient recruitment through AI

Patient data capturing

▪ The use of AI technology is helping in identifying populations

▪ Clinical trial efficiency is increased through expanding patient that are suitable for clinical trials by sorting through vast engagement and improving clinical data, the Internet of Things, volumes of medical records also additionally, it is evaluating virtual reality, machine learning, and smart sensors are further social media posts to pinpoint places where an illness is more technologies that support improving clinical trials through data common, focusing the search for the suitable cohort collecting

▪ The TDA offers patterns of clinical traits and illness

▪ Clinical trials are centered on patient data since it guides future comorbidities, which gave insights into how particular patients clinical outcomes and research agendas will react to treatment or in a clinical study

▪ The usage of central data hubs and wearable devices is helping

▪ Three subgroups of type 2 diabetes were found by researchers to automate data monitoring and collects a variety of at Mount Sinai Medical Center in New York using Topological information that is difficult to obtain, this data can be statistically Data Analysis (TDA) of genotype and electronic health record monitored by organizations, and important information can data

theoretically be accessible from various locations 5

Transforming Clinical Trials with the Help of Technology (4/5)

Virtual clinical trials have the potential to drive significant digital alterations in clinical research methodologies to create an improved patient-centric

ecosystem

Remote Monitoring

Virtual Clinical Trial

▪ Remote monitoring in clinical trials is a comprehensive, cutting-

▪ Fully virtual or decentralized trials use technology and edge digital technology that enables a flexible on-site/off-site procedures including eConsent, telemedicine, Electronic Clinical approach to research oversight

Outcome Assessment (eCOA), Remote Patient Monitoring (RPM), mobile health (mHealth), wearables, and digital

▪ Because there are fewer site visits necessary and more patients biomarker collecting to perform every aspect of the study with mobility challenges, travel concerns, and chronic and remotely

incapacitating illnesses can participate in the study, remote monitoring lessens the load on the patients

▪ Virtual clinical trials leverage the power of telehealth/digital technology by including virtual patient monitoring, wearable

▪ During site inspections, it enables on-site monitors to have medical devices, remote SDV, etc. to conduct safe and strategic conversations and work out issues, the monitor can improved clinical trial research. These virtual trials are patient-watch processes and address protocol violations rather than centric, cost-effective, and easy to manage.

reading papers while sitting in a room 6

Transforming Clinical Trials with the Help of Technology (5/5)

Using wearable health devices is reducing the need for clinical visits, giving participants a greater degree of independence, which may in turn

increase the likelihood that patients will or can enroll in a trial

eSource and electronic

Wearable technologies

health record integration

▪ Through machine learning, artificial intelligence, and natural

▪ The integration of wearable health monitors with smartphones language processing tools, EHR data is now “read” and mapped now offers increasing capabilities to collect and store health directly into eSource and data collection databases data in real-time

▪ This ability to pull data directly from the EHR to populate

▪ An increasing number of pharmaceutical and biotechnology Electronic Case Report Forms (eCRFs) is resulting in a far sponsors are already using wearables to realize the potential more efficient clinical trial model

benefits

▪ With the adoption of EHR integration technology it is no longer

▪ GlaxoSmithKline used Apple ResearchKit in a study for necessary to read a patient's chart and then manually enter the rheumatoid arthritis called PARADE, which was supported by an necessary data into eCRFs thus reducing the requirement for iPhone app, this was the first time that a pharmaceutical clinical research associates to physically travel to the site to company had used the open-source software framework to audit the eCRF data against the EHR because the data is conduct clinical research

electronically sent straight from the EHR into the eCRF

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