The Future of Clinical Trials With Respect to Technology - Octalsoft

The Future of Clinical Trials With Respect to Technology - Octalsoft

Introduction Rapid developments in healthcare technologies utilized in clinical trials have occurred in recent years.

The COVID-19 pandemic functioned as a catalyst, promoting clinical research innovation and uptake. As a result, we are currently witnessing the global adoption of effective decentralized and hybrid clinical trials, which are reshaping the industrial landscape.

Introduction By providing remote communication, real-time physiological monitoring, and efficient data collection and patient input, medical technologies enable us to transport the trial to the patient, making clinical trials more patient-centric and accessible.

However, with these advances come new difficulties, such as the potential for overreliance on technology, which might lead to a loss of the human touch in clinical trials. The inaccessibility of technology to particular groups also threatens to exacerbate rather than improve inequalities in non patient representation.

Introduction In this post, we will delve into the profound impact of technology on clinical trials, exploring the various technologies used, their reception by patients, future trends in clinical research, and the red flags we must watch for to ensure that new technological developments in clinical trials genuinely enhance rather than undermine the patient experience.

1. Wearables and data collection in clinical trials The widespread adoption of wearable gadgets such as smartwatches and fitness trackers has been one of the most significant developments in the future of the clinical research industry.

The number of individuals worldwide who use wearable gadgets is expected to reach 1.1 billion by 2022. The incorporation of medically authorized wearables into clinical trials has resulted in seismic shifts. These certified medical technologies, unlike their consumer versions, have sophisticated capabilities, correctly tracking physiological changes such as heart rate, glucose levels, and blood pressure in realtime and with granular precision.

1. Wearables and data collection in clinical trials This information may be utilized to continually monitor a patient's health and respond quickly if any potential concerns occur.

Wearable devices give patients a sense of control over their health, and for many, the introduction of wearable technology has made clinical trial participation more accessible and convenient, reducing the need to travel to sites and addressing some of the primary reasons patients drop out of clinical trials.

2. Telemedicine and mobile communications in clinical trials 70% of patients reside more than two hours away from research centers, and the integration of virtual components such as telemedicine and remote patient monitoring in hybrid or decentralized studies allows clinical trials to be accessible to a greater population of patients globally.

While decentralized clinical trials offer several benefits, including eliminating the need for patients to travel to locations and making trials more accessible to people with impairments, they are not always the best option.

2. Telemedicine and mobile communications in clinical trials Many patients have responded well to mobile communication and healthcare technologies. However, simply supplying technology is insufficient. Patients want to be supported by a healthcare practitioner at every point of the clinical journey, in addition to training and guidance on the use of medical technology.

It is critical to remember that technology should improve and supplement the human aspect rather than completely replace it in the future of clinical trials with respect to technology.

3. AI and big data in clinical trials The clinical trials industry has long suffered from recruiting and retention challenges, with over 80% of trials failing to fulfill their deadlines. Artificial intelligence is now being employed to solve this issue.

AI can discover excellent candidates for clinical trials by analyzing enormous volumes of patient data from medical records, dramatically boosting recruitment and retention rates. Because the typical dropout rate in clinical studies is over 30%, the application of AI in clinical trials is a welcome development.

3. AI and big data in clinical trials The capabilities of AI go beyond the registration procedure. AI can analyze communication data from patient contacts to anticipate likely early dropouts once patients have joined a trial. This has huge potential for the clinical trial business.

Artificial intelligence insights combined with specific input from healthcare practitioners dealing with patients throughout a study can lead to more successful treatments and retention methods.

4. Digital twins in clinical trials AI and machine learning (ML) have the potential to completely transform clinical research. The development of digital twins, often known as virtual patients, which may act as external control arms in clinical studies, is one groundbreaking use.

AI and ML enable accurate simulations of human models by generating datasets based on existing knowledge. As a result, studies utilizing digital twins have the potential to expedite approvals, widen therapy labeling, and accelerate the pace of medical research.

5. Sensitivities and the need for human compassion Technology in clinical trials should be viewed as a tool for strengthening rather than avoiding patient-provider connections.

In one well-known example, a doctor delivered a terminal prognosis to a patient via an impersonal 'robot' video connection. Because of the lack of compassion and the lack of human contact when it was most needed, this tragedy sparked widespread indignation.

5. Sensitivities and the need for human compassion While technological advancements may be extremely beneficial in healthcare, patients' needs and experiences must always be prioritized in any technological application.

Overreliance on technology might cause provider burnout and impair their capacity to offer good treatment to their patients. New technologies should be implemented in clinical trials to improve patient participation and experience without disconnecting the patient from their healthcare practitioner.

Conclusion Technology becomes a strong tool in healthcare when it is utilized to improve the patient experience, making clinical trial participation more accessible, egalitarian, and efficient. However, sponsors and CROs must exercise caution when relying too much on technology, since this may jeopardize the patient experience.

Any technology deployment, including the future of CTMS, should always prioritize patient engagement. We can guarantee that data translates into relevant insights that help patient care and medical research by actively listening to patients throughout their study participation.

Conclusion A hybrid strategy that blends technology and human touch is the most promising method to advance the clinical trials business, ultimately leading to better patient experiences and medical outcomes.

As the industry welcomes technological advancements, it must do so with caution and a strong commitment to keeping the patient at the center of every clinical study. Only then will we be able to fully realize the full potential of technology to transform the future of clinical trials. Want to know how Octalsoft can upgrade the potential and efficacy of your next clinical trial? Book a demo with us now!