Healthsim
Healthsim from FDU-INS/Insurance-Skills.
Skills in this plugin
6- ▌ Common · fdu-ins bundleCross-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.
- ▌ Trialsim · fdu-ins bundleGenerate 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.
- ▌ Generation · fdu-ins bundleConversation-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.
- ▌ Networksim · fdu-ins bundleNetworkSim provides provider network intelligence using real NPPES data (8.9M providers). Use this skill for ANY request involving: (1) provider search by specialty or location, (2) facility search (hospitals, nursing homes, clinics), (3) NPI validation, (4) network adequacy assessment against CMS/NCQA standards, (5) healthcare desert identification, (6) provider density analysis, (7) network roster generation, (8) hospital or physician quality metrics, (9) cross-product provider assignment, (10) pharmacy network analysis.
- ▌ Patientsim · fdu-ins bundleGenerate 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 · fdu-ins bundlePopulationSim provides population-level intelligence using public data sources. Use this skill for ANY request involving: (1) population demographics or profiles, (2) geographic health patterns or disparities, (3) social determinants of health (SDOH), (4) SVI or ADI analysis, (5) cohort definition or specification, (6) clinical trial feasibility, site selection, or enrollment projection, (7) service area analysis, (8) health equity assessment, (9) census data or ACS variables, (10) CDC PLACES health indicators.