Life Sciences Cloud Developer Guide
StandardValueSet Names and Standard Picklist Fields
Assign Candidate to Research Study Group Action
Build Product Territory Detailed Availability Action
Generate Research Study Blocks Action
Get Context Data Action
Get Life Sciences Configuration Field Names and Values
Process Criteria Matching Response
Serialize Hierarchical Context Data
API End-of-Life Policy
Newer Version Available
Life Sciences Cloud Standard Invocable Actions
Use the standard invocable actions available with Life Sciences Cloud to streamline the
process of enrolling participants in clinical trials.
-
Assign Candidate to Research Study Group Action
Assign candidates, enrolled in the clinical trials through randomization to research study comparison groups. -
Build Product Territory Detailed Availability Action
Build Product Territory Detailed Availability records using existing Product Territory Availability records. -
Generate Research Study Blocks Action
Generate research study randomization block records to link each block with a specific research study comparison group by using the randomization process. -
Get Context Data Action
Retrieves the context data that is passed as an input to a prompt template that generates a summary of the data. -
Get Life Sciences Configuration Field Names and Values
Gets key-value pairs of field names and their values for Life Sciences configuration records of a given category. -
Process Criteria Matching Response
Parses a GPT-generated JSON response to evaluate each inclusion and exclusion criterion for a given Research Study Candidate, determining whether each criterion is matched or not. This action stores the GPT response in the Care Program Enrollment Evaluation Result entity and computes the number of matched inclusion criteria and exclusion criteria, returning these counts as output. -
Serialize Hierarchical Context Data
Serializes the hierarchical context data from the Apex embeddedai__RecordApexRepresentation records that are passed as input to a prompt template that generates a summary of the data.