Life Sciences

Make clinical trial management easy.

Contextually collaborate through every phase of clinical trial process on a compliant platform.
Identify potential patient, candidate, or study risks, like adherence to therapies, and even generate outreach to certain segments, such as groups that could be suitable for a new clinical trial or care program, and keep them engaged according to their preferences.
Securely connect and activate external and internal clinical site performance data, claims data, and commercial data into a real-time profile of their patients, HCPs, and clinical sites.

Use case summary

Simplify clinical trial management by enabling collaboration, identifying patients, and integrating diverse data sources to generate insights that enhance decision-making and improve clinical development outcomes.

Industry

Healthcare & Life Sciences

Salesforce products used

Data Sources Used

EMR & EHR

Sales Databases

Clinical Trial Management Systems

Marketing Data

Clinical Data Management Systems

Real World Data (Vendors)

Patient Registries

ERP

Scientific Data (PubMed, etc)

Apply Insights and Predictions

By bringing together the data sources referenced in this use case, teams can build calculated insights or run predictive models with Data Cloud that will allow them to make smarter decisions or power new automations.

Calculated Insights	Combine Publications and Research data (external and internal) alongside CRM data to produce relevant insights that can accelerate decision-making and improve success rate of investment decisions. Deliver insights based on historical study designs to support Clinical Development planning (Phase I, II, and III study plans).
Predictive Models	Provide automated patient matching and predict preferred communication methods based on engagement data. Use ML to generate risk assessments and deliver guidance that can accelerate planning and accuracy of assessments.