Princeton Blue, Inc.’s Post

𝗚𝗲𝗻 𝗔𝗜 𝗥𝗲𝘀𝗽𝗼𝗻𝗱𝘀 𝘁𝗼 𝗖𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗖𝗼𝗺𝗽𝗹𝗮𝗶𝗻𝘁𝘀 In the world of clinical trials, efficient complaint management can make all the difference. We've been collaborating with industry professionals like you and have developed a solution that addresses the most pressing challenges in clinical complaint handling. 𝗤: 𝗛𝗼𝘄 𝗰𝗮𝗻 𝘄𝗲 𝗺𝗮𝗻𝗮𝗴𝗲 𝗰𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗰𝗼𝗺𝗽𝗹𝗮𝗶𝗻𝘁𝘀 𝗺𝗼𝗿𝗲 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁𝗹𝘆? A: We leveraged modern Gen AI to receive complaints, validate, generate and manage initial responses with site personnel. According to our estimates, this is helping reduce manual workload by up to 70%. 𝗤: 𝗛𝗼𝘄 𝗰𝗮𝗻 𝘄𝗲 𝘁𝗿𝘂𝘀𝘁 𝗔𝗜 𝘁𝗼 𝗱𝗼 𝗮 𝗴𝗼𝗼𝗱 𝗷𝗼𝗯? A: The AI undergoes rigorous training and validation. The AI uses a confidence score to audit itself, and when the confidence score drops below 100%, it involves a human expert for review and validation. This ensures accuracy and maintains human oversight where it's most needed. 𝗤: 𝗪𝗵𝗮𝘁 𝗮𝗯𝗼𝘂𝘁 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗰𝗮𝘀𝗲𝘀 𝘁𝗵𝗮𝘁 𝗻𝗲𝗲𝗱 𝗵𝘂𝗺𝗮𝗻 𝗶𝗻𝘀𝗶𝗴𝗵𝘁? A: AI flags complex cases for human review, focusing your team's expertise on critical issues while ensuring nothing slips through the cracks. 𝗤: 𝗛𝗼𝘄 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝗶𝗺𝗽𝗿𝗼𝘃𝗲 𝗼𝘂𝗿 𝗼𝘃𝗲𝗿𝗮𝗹𝗹 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗲𝘀? A: You'll see faster resolution times, improved accuracy in responses, better resource allocation, and increased site personnel satisfaction. 𝗤: 𝗜𝘀 𝗶𝘁 𝗱𝗶𝗳𝗳𝗶𝗰𝘂𝗹𝘁 𝘁𝗼 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁? A: Since the Clinical Complaint Management solution is based on Appian, it integrates smoothly with your existing systems, synchronizing data and streamlining Clinical Operations. We invite you to watch AI in action in this solution demo: https://lnkd.in/dt7bSUFA Let's discuss how this can work for you and address your #ClinicalComplaint challenges. #GenAI #ProcessAutomation #ArtificialIntelligence #Pharma #LifeSciences

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