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The digital transformation of clinical trials has immense potential for the pharmaceutical and biotechnology communities, and many companies are using it for their benefit.
FREMONT, CA: Clinical research is among the essential activities that help to extend the human life span while enhancing patients' quality of life. It includes research activities that test hypotheses about biomedical or behavioral interventions used in disease treatment and management. These actions involve human-participant experiments and observations, which are usually referred to as clinical trials.
Clinical trials are a required activity for verifying the safety and efficacy of new drugs before they are introduced to the market. Clinical trials can cost a massive amount, which is spent on approved drugs and investigational drugs.
This emphasizes the socioeconomic significance of clinical trials, as they significantly impact healthcare quality and on the budgets of governments, pharmaceutical organizations, and biotechnology firms, which frequently sponsor clinical research activities and cover the costs of clinical trials.
As a result, many governments and healthcare organizations worldwide are looking for ways to improve the efficacy and precision of clinical trial results while also lowering costs. The digitalization of clinical trial activities could provide significant benefits in this regard.
Digitizing Clinical Trials
Clinical trials in the cutting-edge are largely computerized. To store, manage, and analyze clinical trial data, statistical programs and advanced databases are used
Similarly, Electronic Patient-Reported Outcome systems (widely known as ePRO systems) gather electronic data about trial outcomes using appropriate questionnaires. Patients, clinicians, and trial investigators in charge of clinical trials fill the latter roles.
Due to the emergence of technologies that enable the collection, management, and analysis of large amounts of digital data, the end-to-end digitalization of clinical trial activities has recently gained popularity. Cloud computing technologies, for example, enable trial stakeholders to gain access to a considerable amount of storage and computing resources.
Similarly, data mining and BigData analytics technologies allow improved clinical trial data processing, such as the extraction of unique insights about the trial's advancement and the efficiency of the observed interventions.
The Role of the Internet of Things
When compared to traditional trials, digital trials can be boosted with more information. The emergence of the Internet of Things (IoT) devices like smartphones, smartwatches, and other wearables have made this possible. These IoT devices allow for the automatic collection of more information about the patient's status, like vital signs or daily activities.
Data from IoT devices can be seamlessly integrated into a completely digital clinical trial pipeline. Similarly, their data can be stored in the cloud and analyzed with BigData analytics and machine learning algorithms.