New technological innovations are improving the efficiency and productivity of clinical trials using novel outcomes, increasing patient engagement, and reducing patient burden​. To get a report in detail, contact us at - info@insights10.com

1. 10 Ways in which
Technology is
Driving Better
Efficiency in
Clinical Trials
A Market Research Report on

2. 2
Device connectivity and
ultra-low-cost IoT
Blockchain Sensing technologies
Remote monitoring
Patient data capturing
Patient recruitment
through AI
Virtual clinical trials
Mobile technologies
eSource and electronic
health record integration
Wearable technologies
Technologies that are driving digitization in clinical trials
Advanced Technologies Assisting in Conducting Clinical Trials

3. 3
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
▪ Connected devices are helping overcome the misinterpretation
of data when it comes to the impact of drug dose-related side
effects, outcomes, and the patient’s general well-being
▪ Ultra-low-cost connectivity components, coupled with direct-to-
cloud technologies, such as NB-IoT/LTE-M, are fueling the
transformation toward fully connected and digitized clinical trials
▪ Novartis, with the introduction of the connected BreezHaler,
closely monitor patients’ drug intake during clinical trials
Device connectivity and ultra-lowcost IoT Blockchain
▪ Blockchain-based solutions are providing more efficient ways of
handling the early stages of clinical trials, particularly in relation
to recruitment
▪ As blockchain provides a controlled way of accessing proof of
the existence of an entity, it is being used for monitoring the
existence of consent
▪ These solutions are assisting researchers, sponsors, and
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

4. 4
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
▪ Advanced sensors are becoming smaller, simpler to
incorporate, and more useful without interfering with a patient's
normal activities that are eventually taking the position of
manual inspections and evaluations
▪ The development of new materials is also helping to advance
the field of sensing technologies, a Korean team created
prototype contact lenses that assess blood glucose levels and
intraocular pressure using graphene and metal nanowires
▪ Contactless sensing is playing a key role in how data is
collected, with the use of Near-Field Coherent Sensing (NCS) –
it is possible to avoid skin contact
Sensing Technologies Mobile Technologies
▪ Mobile technology is enabling the collection of real-time data
regarding activity or movements that may not be detectable at
the same frequency using other equipment, such as an
accelerometer worn on a limb, waist, or put on the wheelchair,
or a sensor built in a smartphone or gaming cell
▪ Continuous measurement enables early illness progression
detection, when treatments may be more potent
▪ This might make it possible to evaluate the success of drug
development programs and boost the effectiveness of the trial
design

5. 5
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
▪ The use of AI technology is helping in identifying populations
that are suitable for clinical trials by sorting through vast
volumes of medical records also additionally, it is evaluating
social media posts to pinpoint places where an illness is more
common, focusing the search for the suitable cohort
▪ The TDA offers patterns of clinical traits and illness
comorbidities, which gave insights into how particular patients
will react to treatment or in a clinical study
▪ Three subgroups of type 2 diabetes were found by researchers
at Mount Sinai Medical Center in New York using Topological
Data Analysis (TDA) of genotype and electronic health record
data
Patient recruitment through AI Patient data capturing
▪ Clinical trial efficiency is increased through expanding patient
engagement and improving clinical data, the Internet of Things,
virtual reality, machine learning, and smart sensors are further
technologies that support improving clinical trials through data
collecting
▪ Clinical trials are centered on patient data since it guides future
clinical outcomes and research agendas
▪ The usage of central data hubs and wearable devices is helping
to automate data monitoring and collects a variety of
information that is difficult to obtain, this data can be statistically
monitored by organizations, and important information can
theoretically be accessible from various locations

6. 6
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 in clinical trials is a comprehensive, cutting-
edge digital technology that enables a flexible on-site/off-site
approach to research oversight
▪ Because there are fewer site visits necessary and more patients
with mobility challenges, travel concerns, and chronic and
incapacitating illnesses can participate in the study, remote
monitoring lessens the load on the patients
▪ During site inspections, it enables on-site monitors to have
strategic conversations and work out issues, the monitor can
watch processes and address protocol violations rather than
reading papers while sitting in a room
Remote Monitoring Virtual Clinical Trial
▪ Fully virtual or decentralized trials use technology and
procedures including eConsent, telemedicine, Electronic Clinical
Outcome Assessment (eCOA), Remote Patient Monitoring
(RPM), mobile health (mHealth), wearables, and digital
biomarker collecting to perform every aspect of the study
remotely
▪ Virtual clinical trials leverage the power of telehealth/digital
technology by including virtual patient monitoring, wearable
medical devices, remote SDV, etc. to conduct safe and
improved clinical trial research. These virtual trials are patient-
centric, cost-effective, and easy to manage.

7. 7
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
▪ Through machine learning, artificial intelligence, and natural
language processing tools, EHR data is now “read” and mapped
directly into eSource and data collection databases
▪ This ability to pull data directly from the EHR to populate
Electronic Case Report Forms (eCRFs) is resulting in a far
more efficient clinical trial model
▪ With the adoption of EHR integration technology it is no longer
necessary to read a patient's chart and then manually enter the
necessary data into eCRFs thus reducing the requirement for
clinical research associates to physically travel to the site to
audit the eCRF data against the EHR because the data is
electronically sent straight from the EHR into the eCRF
eSource and electronic
health record integration
Wearable technologies
▪ The integration of wearable health monitors with smartphones
now offers increasing capabilities to collect and store health
data in real-time
▪ An increasing number of pharmaceutical and biotechnology
sponsors are already using wearables to realize the potential
benefits
▪ GlaxoSmithKline used Apple ResearchKit in a study for
rheumatoid arthritis called PARADE, which was supported by an
iPhone app, this was the first time that a pharmaceutical
company had used the open-source software framework to
conduct clinical research

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Entities
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Players
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Companies

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Silos

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11. 11 A Sample Report on Singapore Physiotherapy Market Analysis I Confidential
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▪ Currency used in the report is the US dollar (USD), with the market size indicated in USD million/billion (Mn/Bn)

12. 12 A Sample Report on Singapore Physiotherapy Market Analysis I Confidential
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13. 13 A Sample Report on Singapore Physiotherapy Market Analysis I Confidential
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14. 14 A Sample Report on Singapore Physiotherapy Market Analysis I Confidential
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