The Role of Technology in Modern Clinical Trials.pptx

Clinical trials are divided in to different phases –Phase 1, Phase 2 and Phase 3 each of which has the different criteria and goals. The contact phase and design phase especially call for efficient clinical trial organization and coordination. Technology helps in this by offering overall CTMS which encompasses different areas of the trials.

1. The Role of Technology in Modern Clinical Trials

2. introduction The field of clinical trials has been radically changing over the past few decades mainly because of improvements in technology. New approaches to trial identification, data retrieval, and clinical trial databases mean the clinical trial process is completed faster, with higher accuracy and greater depth.

3. Revolutionizing Trial Search and Recruitment One of the most significant problems that have always strongly characterized clinical trials is the issue of enrolment of qualified participants. This type of participant recruitment as compared to others is usually a one-stop pathway – that requires a lot of outreach and then screening most of the targeted individuals. However, with the advanced techniques in trial search and advertising tools in employment, the researchers can cover and screen the volunteers conveniently.

4. Enhancing Clinical Data Analysis It becomes a real challenge dealing with lots of data that are produced in clinical trial activities. From the patient’s health records to the outcome of trial, this data needs to be analysed to make some form of meaningful deductions. In this aspect, technology is quite useful through the use of some highly developed clinical data analytics applications.

5. Streamlining the Clinical Trial Process Clinical trials are divided in to different phases – Phase 1, Phase 2 and Phase 3 each of which has the different criteria and goals. The contact phase and design phase especially call for efficient clinical trial organization and coordination. Technology helps in this by offering overall CTMS which encompasses different areas of the trials.

6. Advancing Clinical Trial Analytics Clinical trial analytics is an aspect in which technology has been used to make improvements. Using high-level analysis, it is possible to identify more specific trial results, as well as understand patient preferences. For example, forecast analytics helps determine the likelihood of the unfavourable outcomes or suggest the patient population that stands to gain most from the proposed treatment.

7. Top advanced technologies for clinical trials Artificial Intelligence (AI):  AI is being applied to augment features related to the clinical trial process, including patient recruitment. Wearable Devices: Smartwatches and other wearable technologies devices they are used with the aim of gathering real-time health data from the participants. Medidata Clinical Data Studio: This software possesses a wide range of possibilities for effective data management and analyses and can assist researchers in organizing the process of data collection, validation and analyses. Florence Healthcare: Clinical Trial site solutions by Florence Healthcare involves in site selection, study start up and trial management. (Courtesy: Forbes.com)

8. Conclusion T oday technology is a very important factor in the clinical trials. Be it the search for the trails, the recruitment of individuals, the collection of clinical data or the organization for the trials, technology has taken over. These have not only enhanced the structure of clinical trials, but also change the clinical possibilities of treatment.

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