Artificial intelligence has become a part of every professional field, and clinical operations events are no different. The pharmaceutical event management company designing any clinical trial can benefit from using AI at various process stages. Moreover, effective use of AI can help overcome challenges. We all know that patient engagement is one of the biggest challenges in clinical trials. How can artificial intelligence enhance patient engagement in clinical trials? Let’s find out.
Use of AI in Clinical Operations Events
Artificial intelligence (AI) can change how clinical trials work. It can help retain patients after assisting with selection. Moreover, it can communicate with these patients in a way that suits them and identify those considering dropping out. Additionally, AI can suggest ways to keep them involved and watch out for any problems, which is done without spending too much money.
Clinical operations events are vital for finding new treatments, but sometimes, getting enough people to join and stay in the trials takes work. Pharmaceutical event Management Company sponsoring such a trial can spend much money if the participants or patients feel excluded.
Here are some ways to enhance patient engagement with AI:
• Finding the right people
AI can pick the best people for a trial and determine who might stay in it the longest.
• Personalized communication
AI can help send messages just right for each person in the trial.
• Spotting dropouts
AI can notice if someone considers leaving the trial and giving them extra support.
• Figuring out why people leave
AI can look at why people often leave trials and suggest ways to stop it from happening.
• Watching out for problems and providing solutions
AI can quickly monitor how people are doing during the trial and find any issues.
Using AI, the sponsoring pharmaceutical event management can make trials run smoother, faster, and cheaper. This means they can find new treatments quicker and improve healthcare.
Searching Databases to Find Patients
Research sites often search their databases to find patients for any new clinical operations event. However, this process can be time-consuming and challenging due to the need for complete records and complications of health issues in patients of various ages. AI uses natural language processing (NLP) and data analysis to make this process easier.
Once patients are identified, AI can help personalize the search and reach out to each patient in a way that suits them. As mentioned earlier, AI can adopt the right tone for each patient. By considering patient preferences and availability, AI-powered systems can create tailored communication plans, improving patient engagement and increasing the chances of successful selection.
Outreach through Social Media
Recruiting patients through social media advertising or pages and private groups for particular people can be a successful strategy. For example, there are several groups for obese, diabetic, anorexic or hypertensive people on social media. If AI can get into these circles and select patients to communicate with, finding patients becomes much more accessible.
Social media platforms like TikTok, Snapchat, Reddit, and Pinterest also incorporate AI features. However, Facebook remains the top choice for patient referrals. Nevertheless, with the rapid increase in technology, researchers will begin using all other social media forums to their advantage.
Retaining Participants Using Chatbots
Chatbots are AI-powered programs that communicate with patients during clinical operations. These robotic programs help keep participants engaged and supported throughout the trial. These chatbots can maintain regular communication with participants, assisting and responding to various needs during the trial.
Personalized engagement through chatbots helps create a positive experience and builds trust between participants and the trial team. This personalized approach shows that the trial team cares about each participant’s well-being, which is crucial for retaining participants.
Chatbots can perform various tasks to support participants, such as sending reminders for site visits, encouraging participants to report their feelings using electronic systems, and sharing important trial information like medication schedules. These reminders help participants stay engaged and follow the trial accurately, which is essential for the study’s success. Every patient wants to feel special, and these chatbots ensure they get attention. Moreover, chatbots can simplify data collection by interacting with participants to gather important information, reducing participants’ burdens and ensuring data consistency and accuracy.
Chatbots can send friendly reminders tailored to individual preferences in case of missed appointments or incomplete tasks. Pharmaceutical event Management Company sponsoring chatbots for any trial can benefit from this technology as patients would like to sign up for future trials conducted by them as well.
Conclusion
We have discussed how artificial intelligence can enhance patient engagement in clinical trials. All the strategies discussed above will make clinical operations events more successful and benefit the pharmaceutical event management company supporting the prosecution. Apart from being time-effective, these tips will help ensure the results are accurate and the trial is cost-effective.
