AI in Patient Recruitment and Retention

Patient recruitment and retention are two of the biggest challenges in clinical trials, often leading to costly delays or even trial failures. AI-powered technologies are transforming how clinical trial sponsors and Contract Research Organizations (CROs) address these challenges, making the process more efficient and patient-centric.

1. Welcome Ai in patient recruitment and retention Tushar Madhukar patil B.Pharm 103/072024 08/02/2024 www.clinosol.com | follow us on social media @clinosolresearch 1

2. Index Introduction. Key component. AI Enhances Patient Recruitment. AI in patient Recruitment strategies. AI in patient enhancing techniques. Benefits of AI in Recruitment and Retention . Challenges of AI in patient recruitment and retention. 10/18/2022 www.clinosol.com | follow us on social media @clinosolresearch 2

3. Introduction Artificial Intelligence (AI) in patient recruitment and retention in trials refers to the application of advanced AI technologies to enhance the processes of identifying, engaging, and maintaining participants in clinical research studies. This involves using algorithms, machine learning, natural language processing (NLP), and predictive analytics to streamline and optimize how patients are recruited and retained throughout the duration of a clinical trial. 10/18/2022 www.clinosol.com | follow us on social media @clinosolresearch 3 Defination :

4. Patient Recruitment 10/18/2022 www.clinosol.com | follow us on social media @clinosolresearch 4 Key component Data Analysis Predictive Modeling Targeted Outreach Natural Language Processing

5. Data Analysis : Use of AI to analyze large datasets to identify potential candidates based on medical history, demographics, and previous treatment outcomes. Predictive Analytics: AI models predicting which patients are more likely to enroll and remain in trials. Personalized Outreach: Automated, personalized communication strategies to engage potential participants. Patient Matching: AI algorithms matching patients with relevant trials based on their specific health profiles . 10/18/2022 www.clinosol.com | follow us on social media @clinosolresearch 5 AI Enhances Patient Recruitment

6. Ai in patient Recruitment strategies Referrals from healthcare providers Patient registries Patient advocacy groups Community outreach Social media Traditional media Recruitment agencies Electronic health records (EHRs) Clinical trial databases Direct outreach Referrals On-site recruitment 10/18/2022 www.clinosol.com | follow us on social media @clinosolresearch 6

7. AI in patient enhancing techniques 10/18/2022 www.clinosol.com | follow us on social media @clinosolresearch 7 Personalized Communication : AI can tailor messages to patients based on their preferences and behaviors. For instance, sending reminders via text, email, or app notifications about upcoming appointments, medication schedules, or follow-up visits. Virtual Health Assistants and Chatbots : AI-powered virtual assistants can engage patients in real-time, answer their questions, and provide guidance on managing their health conditions. This continuous interaction keeps patients engaged and informed. Remote Patient Monitoring : Wearable devices and home monitoring systems can collect health data and use AI to analyze it in real-time. Any deviations from normal patterns can trigger alerts to both patients and healthcare providers, ensuring timely interventions and keeping patients engaged in their care.

8. AI in patient enhancing techniques Patient Education : AI can deliver tailored educational content to patients, helping them understand their conditions and the importance of adhering to their treatment plans. Informed patients are more likely to stay committed to their care. Feedback and Satisfaction Monitoring : AI can analyze patient feedback from surveys, social media, and other sources to identify areas for improvement in the patient experience. Addressing these areas can increase patient satisfaction and retention. Customized Treatment Plans : AI can help create personalized treatment plans based on individual patient data, preferences, and responses to previous treatments. This personalized approach can improve adherence and satisfaction, leading to better retention. 10/18/2022 www.clinosol.com | follow us on social media @clinosolresearch 8

9. Benefits of AI in Recruitment and Retention 10/18/2022 www.clinosol.com | follow us on social media @clinosolresearch 9 Improved efficiency and reduced time to recruit . Higher patient engagement and satisfaction. Better data accuracy and insights.

10. Challenges of AI in patient recruitment and retention 10/18/2022 www.clinosol.com | follow us on social media @clinosolresearch 10 Data privacy and security. . Integration with existing systems. Ensuring AI algorithms are free from biases .

11. Conclusion The concept of AI-assisted recruitment and retention in clinical trials entails the utilisation of various AI techniques to enhance the process of participant recruitment, patient selection, patient retention and patient drop-outs process in clinical trials. 10/18/2022 www.clinosol.com | follow us on social media @clinosolresearch 11

12. Thank You! www.clinosol.com (India | Canada) 9121151622/623/624 [email protected] 08/02/2024 www.clinosol.com | follow us on social media @clinosolresearch 12