Plan and Prepare for Clinical Engagement

Let’s walk you through some key concepts before you begin your implementation. Learning about how Life Sciences Cloud models data and its users will help you optimize your implementation to the needs of your organization.

• The Clinical Data Model and FHIR
  The Clinical data model is built to align with the Fast Healthcare Interoperability Resources (FHIR) specification, which is an open API standard for the exchange of healthcare information. The FHIR standard is defined by Health Level 7 (HL7), the organization that also defined the HL7 messaging standard.
• Supporting Clinical Data in Life Sciences Cloud
  Clinical data that comes from EHR or other clinical systems is critical to the planning, execution, and management of coordinated care plans for patients. Clinical data can be integrated with Salesforce using several standard APIs to map messages from EHR systems into Life Sciences Cloud objects and fields.
• Code Sets and Code Set Bundles
  Having accurate information and standardized definitions is vital for the life sciences industry. Serious consequences can occur if organizations differ in their interpretation of a patient’s data. To avoid this scenario, the life sciences industry uses terminology systems that standardize the definitions of various situations and clinical data. These systems consist of subunits that the industry terms Coding, Codeable Concept, and Value Set.