Top 5 Innovations for Clinical Trials in 2023
Clinical trials play a crucial role in the development and approval of new medical treatments and drugs. As technology continues to advance, Clinical Trial Technology is becoming a more important factor in shaping the way trials are conducted. In 2023, we can expect to see several technology trends that are set to further revolutionize the design, conduct, and analysis of trials. Some of these trends include decentralized trials, wearable devices, machine learning, and Risk-Based Quality Management (RBQM).
Growing Use of Machine Learning and AI
Clinical trials are increasingly relying on AI and machine learning because they offer a mechanism to examine vast volumes of data and forecast results. Machine learning can support clinical trials by identifying possible trial volunteers and predicting patient reactions to treatment. Furthermore, these technologies can automate repetitive procedures, freeing up time and resources to concentrate on other trial-related issues. eProtocol Design, eCRF Design, Medical Coding, DB Creation, Data Analytics, CSR Automation, SDV, Site Selection, SDTM Mapping, RBM, Query Management, and Chatbots are a few examples of AI & ML applications in clinical trials. CROs and pharmaceutical companies should think about collaborating with machine learning technology businesses to gain from these advantages.
2. Expansion of Decentralized Trial Models
Remote trials, often referred to as decentralized trials, are transforming the way clinical trials are carried out by enabling more adaptable and patient-centered research designs that make it easier to collect data from patients remotely in real-time. Patients can take part in clinical trials without having to make frequent trips to a physical trial location by using technologies like telemedicine, remote monitoring, and electronic consent. With fewer missed visits and less time and money spent on travel and site visits, this not only makes it simpler for patients to participate in studies, but it also makes trials run more effectively. Decentralized trials can be used by CROs and pharmaceutical companies to improve patient involvement and participation, shorten trial procedures, and cut costs.
3. Using digital patient engagement tools
The integration of digital tools for patient interaction has significantly advanced clinical trials. These solutions have shown to be quite helpful in improving patient experiences while also offering insightful data on patient behavior and experiences. They boost patient engagement and happiness while also streamlining trial procedures, encouraging higher adherence and patient retention. Pharmaceutical companies and CROs should think about partnering with technology businesses that are experts in digital patient engagement solutions in order to fully realize the potential of these sophisticated engagement tools. Also, it's critical that these businesses put a high priority on usability and engagement when creating or choosing these tools, since this will encourage patients to take part and contribute worthwhile data.
4. Development of System Offering and Sensors
Clinical trials are increasingly relying on wearable technology, such as fitness trackers and smartwatches, as a tool to gather real-time data on patient behavior and health. Wearable technology can assist researchers in gathering important data that can be utilized to increase the effectiveness and safety of novel medical treatments, from tracking physical activity to monitoring vital signs. CROs and pharmaceutical companies may think about collaborating with wearable device makers or incorporating wearable device technology into their clinical trials in order to take advantage of the possibilities of wearable devices.
5. RBM to RBQM: An Improvement in Clinical Trials
Clinical trials are increasingly using risk-based monitoring (RBM) because it enables a focused and effective method of trial data monitoring. This is taken a step further by RBQM (Risk-Based Quality Management), which applies a risk-based methodology to every facet of trial management, from protocol preparation to data administration and analysis. With the help of RBQM, resources are directed to the areas where they are most required, making the clinical trial process more successful and efficient.