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Streamlining Clinical Operations With Salesforce’s AI Life Sciences Cloud

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In a major development for the pharmaceutical and medical technology sectors, Salesforce has launched its Life Sciences Cloud, now generally available. This AI-driven platform aims to enhance engagement with patients and healthcare professionals (HCPs) while streamlining clinical operations through integrated data, automation, and advanced AI capabilities.

Tackling Key Challenges in Clinical Trials

Clinical trials, vital to pharmaceutical research, are often plagued by inefficiencies and lengthy timelines. Participant recruitment alone can consume up to one-third of the trial period, and a staggering 80% of trials fail to enroll the necessary number of patients, causing costly delays. Additionally, patient adherence to prescribed therapies post-trial remains a significant issue, with nearly 40% discontinuing their medication within the first year. AI presents a promising solution to these challenges, and 86% of healthcare and life sciences leaders believe that utilizing data and AI will be crucial for their future success.

AI-Powered Innovations in Action

The Life Sciences Cloud leverages Salesforce’s Einstein 1 Platform, offering a comprehensive AI-powered solution for patient and HCP engagement. Here are some key features:

Participant Recruitment and Enrollment

This feature enables contract research organizations (CROs), sites, and sponsors to identify and recruit qualified, diverse candidates for clinical trials. Using generative AI, clinical research coordinators can efficiently match patients to trials based on prescreening and eligibility criteria, significantly reducing manual screening time. The platform also facilitates the creation of patient portals, simplifying trial discovery and enrollment processes. For instance, Einstein Copilot, Salesforce’s conversational AI assistant, helps generate patient segments based on proximity to trial sites and other data insights, enabling targeted recruitment.

Patient Benefits Verification

This tool helps life sciences organizations quickly determine out-of-pocket costs and financial assistance eligibility for pharmaceuticals or medical diagnostics. It provides comprehensive coverage analyses, SLA expirations, and proactive alerts, all accessible through a single dashboard. Einstein Copilot assists patient service agents in generating benefits summaries and performing bulk re-verifications, ensuring continuity in patient treatments. For example, agents receive alerts to re-verify a diabetes patient’s insulin and glucometer copays, maintaining seamless treatment adherence.

Patient Program Outcome Management

This feature enables patient service teams to capture and automate the impact of their educational and support programs. It maps patient milestones to program outcomes through assessments and event reporting. Teams can tailor engagement strategies to remind patients to take their medications, analyze the effectiveness of these strategies in real-time, and adjust to improve adherence and reduce drop-off rates.

Streamlined HCP Engagement

The Life Sciences Cloud for Customer Engagement streamlines interactions by providing a comprehensive view of HCPs across various teams—marketing, sales, and medical science liaisons. It prevents redundant outreach and maintains compliance audit trails. Teams gain access to real-time insights and analytics, enabling onsite sales reps to present to HCPs directly from mobile devices, share relevant content, and track engagement metrics.

Unified Data Platform

Using Salesforce Data Cloud and MuleSoft for Life Sciences, this platform creates a harmonized view of each patient and HCP by integrating data from various sources. This unified data model personalizes interactions and enhances engagement. For example, commercial sales reps receive real-time alerts when an HCP enrolls a patient in their support program, allowing for timely and targeted engagement.

Future Availability

  • Participant Recruitment and Enrollment: Available now, with AI enhancements expected in late 2024.
  • Patient Benefits Verification: Available as part of Life Sciences Cloud.
  • Patient Program Outcome Management: Currently in pilot, with general availability expected in October 2024.
  • Life Sciences Cloud for Customer Engagement: Expected general availability in September 2025.
  • Unified Data Platform: Available now.

For more detailed information, visit the official Salesforce news site.

Conclusion

Salesforce’s AI-powered Life Sciences Cloud is poised to transform the pharmaceutical and medtech industries by addressing critical challenges in clinical trials, patient adherence, and HCP engagement. By leveraging the power of AI, this platform not only enhances operational efficiency but also fosters a patient-centric approach, ensuring better outcomes and revolutionizing the future of healthcare.

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