common
Cross-product infrastructure for HealthSim — persistence (cohort save/load), identity correlation (SSN-based cross-product linking), and DuckDB database operations. Use when saving/loading cohorts, linking entities across products, or querying the database directly.
generation
Conversation-driven specification and execution of healthcare data generation at scale. Use when building profiles, generating cohorts, creating journeys, batch generation, specifying distributions, or any at-scale data generation task.
membersim
MemberSim generates realistic synthetic claims and payer data for testing claims processing systems, payment integrity, and benefits administration.
networksim
>
patientsim
Generate realistic clinical patient data including demographics, encounters, diagnoses, medications, labs, and vitals. Use when user requests: (1) patient records or clinical data, (2) EMR test data, (3) specific clinical cohorts like diabetes or heart failure, (4) HL7v2 or FHIR patient resources.
populationsim
>
rxmembersim
RxMemberSim generates realistic synthetic pharmacy data for testing PBM systems, claims adjudication, and drug utilization review. Use when user requests: (1) pharmacy claims or prescription data, (2) DUR alerts or drug interactions, (3) formulary or tier cohorts, (4) pharmacy prior authorization, (5) NCPDP formatted output.
trialsim
Generate realistic clinical trial synthetic data including study definitions, sites, subjects, visits, adverse events, efficacy assessments, and disposition. Use when user requests: clinical trial data, CDISC/SDTM/ADaM datasets, trial cohorts (Phase I/II/III/IV), FDA submission test data, or specific therapeutic areas like oncology or biologics/CGT.
common
Cross-product infrastructure for HealthSim — persistence (cohort save/load), identity correlation (SSN-based cross-product linking), and DuckDB database operations. Use when saving/loading cohorts, linking entities across products, or querying the database directly.
generation
Conversation-driven specification and execution of healthcare data generation at scale. Use when building profiles, generating cohorts, creating journeys, batch generation, specifying distributions, or any at-scale data generation task.
membersim
MemberSim generates realistic synthetic claims and payer data for testing claims processing systems, payment integrity, and benefits administration.
networksim
>
patientsim
Generate realistic clinical patient data including demographics, encounters, diagnoses, medications, labs, and vitals. Use when user requests: (1) patient records or clinical data, (2) EMR test data, (3) specific clinical cohorts like diabetes or heart failure, (4) HL7v2 or FHIR patient resources.
populationsim
>
rxmembersim
RxMemberSim generates realistic synthetic pharmacy data for testing PBM systems, claims adjudication, and drug utilization review. Use when user requests: (1) pharmacy claims or prescription data, (2) DUR alerts or drug interactions, (3) formulary or tier cohorts, (4) pharmacy prior authorization, (5) NCPDP formatted output.
trialsim
Generate realistic clinical trial synthetic data including study definitions, sites, subjects, visits, adverse events, efficacy assessments, and disposition. Use when user requests: clinical trial data, CDISC/SDTM/ADaM datasets, trial cohorts (Phase I/II/III/IV), FDA submission test data, or specific therapeutic areas like oncology or biologics/CGT.