Clinical research organizations (CROs) are increasingly turning to technology to monitor patient adherence during clinical trials. These technologies include “smart pill packs”, portable devices that transmit a wide range of patient data to centers, and remote monitoring and interaction applications that patients can use through smartphones or similar devices. Surveys are also used to track patients' experience in a clinical trial, but the data is one-dimensional and can overlook relevant trends. Artificial intelligence (AI) can convert static data sets into adaptable models to track patient feedback, which could help indicate if the participant is struggling to retain them. Mobile devices, smartphone-based applications and wearable medical technology have significant potential to improve patient data capture.
Wearable devices help to automate data monitoring, and the use of central data centers collects a large amount of data that would otherwise be complex to capture. Organizations can statistically track data and relevant information can be accessed virtually from multiple locations. Real-world data and real-world testing are becoming increasingly important in clinical trials, and the ability of portable devices and associated technologies to collect and store large amounts of patient data has proven to be invaluable to researchers. During the COVID-19 pandemic, the technology has proven to be invaluable for the continuation of critical clinical trials. In addition, the successful implementation of these technologies in clinical settings or the integration of patient medication adherence monitoring data into clinical practice has rarely been reported. Clinical Conductor CTMS enables organizations to overcome the challenges of traditional clinical research trial processes.
Many medication adherence monitoring technologies have software to organize patients' medication adherence data; however, most of these devices require health professionals or researchers to analyze and quantify the data separately. A patient-centered, HIPAA-compliant virtual meeting solution, designed specifically for clinical research and integrated into Clinical Conductor CTMS, allows centers to expand hiring and complete more visits securely remotely with encrypted video sessions. Clinical Conductor has a proven track record of harnessing a strong API to provide seamless integrations with a variety of other systems. AI experts have mentioned possible pathways for AI in clinical trials, but also mentioned blind spots that sponsors should be careful not to overlook. Technologies capable of monitoring patients' adherence to medication offer important advantages, such as the presentation of data on medication adherence in real time; however, doubts about the accuracy of these devices prevent them from becoming a reference at the clinical and research levels. The different phases (I, II, III and IV) of clinical trials are designed to ensure a safe and effective clinical outcome of general-purpose treatment. CROs are leveraging technology to monitor patient adherence during clinical trials in order to ensure successful outcomes.