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Salesforce Life Sciences Cloud

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OVERVIEW

A unified, AI-powered CRM platform for pharmaceutical, biotech, and medtech companies to manage clinical trials, patient services, and commercial operations.

Salesforce Life Sciences Cloud (LSC) is an end-to-end, intelligent engagement platform built on the Salesforce Einstein 1 Platform and Data Cloud, specifically for the pharmaceutical, biotechnology, and medical technology industries. It unifies data, workflows, and teams across the entire product lifecycle, from R&D and clinical research through medical affairs, commercial operations, and patient services.

LSC is designed to address industry challenges like data silos, strict regulatory compliance, and the need for better patient outcomes. A core component is Agentforce, which provides industry-specific, AI-driven automation and intelligent agents to streamline complex workflows and enhance productivity across every role.

Key Capabilities and Features:

  • Smarter Clinical Trials: Accelerates R&D by integrating real-time health data, enabling intelligent site selection, and using AI for participant auto-matching and recruitment. It simplifies enrollment with self-service portals and customized e-consent forms.
  • Patient-Centric Services: Empowers teams to deliver personalized support through intelligent case management, personalized patient portals, co-pay assistance, and next-best-action workflows.
  • Connected Commercial Engagement: Unifies sales, marketing, and prescribing behavior data for a single, cohesive view, enabling personalized interactions with Healthcare Professionals (HCPs). It includes Field Inventory Management for tracking medical devices and drug samples.
  • Advanced Therapy Management (ATM): Simplifies multi-step scheduling and tracking for complex treatments like cell or gene therapies.
  • Regulatory Compliance: Built with purpose-built data models to ensure adherence to regulations like HIPAA, GDPR, and FDA 21 CFR Part 11.

Target Users: Pharmaceutical Companies, Biotechnology (Biotech) Organizations, Medical Technology (MedTech) Companies, and Contract Research Organizations (CROs).

RATING & STATS

User Rating
4.2/5.0
Customers
70+
Founded
2024

KEY FEATURES

  • AI-Powered Agentforce Automation
  • End-to-End Clinical Trial Management
  • Participant Recruitment and Enrollment Portals
  • Advanced Therapy Management (ATM)
  • HCP and Patient 360-Degree View CRM
  • Field Inventory and Sample Management
  • Personalized Patient Services/Support Programs
  • FHIR-Standard API Interoperability

PRICING

Model: subscription
Starting at: USD 325.00
Starts at $325/user/month, with higher-tier plans including advanced AI features and more data capacity. Pricing is per user, per month.
FREE TRIAL

TECHNICAL DETAILS

Deployment: saas, cloud
Platforms: web, ios, android
📱 Mobile Apps🔌 API Available

USE CASES

Clinical Trial Recruitment and ManagementPatient Support and Adherence ProgramsHealthcare Professional (HCP) Engagement and SalesAdvanced/Cell/Gene Therapy OrchestrationField Force Inventory and Sample Management

INTEGRATIONS

Salesforce Ecosystem (Sales Cloud, Service Cloud, etc.)ComplianceQuest (via LifeQuest 360)MuleSoftAWSElectronic Health Records (EHRs)Electronic Lab Notebooks (ELNs)Laboratory Information Management Systems (LIMS)

COMPLIANCE & SECURITY

Compliance:
HIPAAFDA 21 CFR Part 11GDPR
Security Features:
  • 🔒Automated Audit Trails
  • 🔒Encryption
  • 🔒Role-Based Access Controls
  • 🔒Trust Layer (Salesforce Platform)

SUPPORT & IMPLEMENTATION

Support: email, phone, 24/7 support
Implementation Time: 1-3 months
Target Company Size: medium, enterprise
TRAINING AVAILABLE

PROS & CONS

✓ Pros:
  • +Unified platform eliminates data silos across clinical, patient, and commercial operations.
  • +Deeply embedded, trusted AI and automation (Agentforce/Einstein Copilot).
  • +Purpose-built data models and compliance for life sciences (HIPAA, FDA 21 CFR Part 11).
  • +Highly scalable and customizable on the robust Salesforce platform.
✗ Cons:
  • -High starting price, making it expensive for smaller organizations.
  • -Steep learning curve and complexity for new or non-technical users.
  • -Requires significant customization and potential for high implementation costs.

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