Upstream-Intelligence/specialty-clinic-synthetic-claims
Specialty Clinic Synthetic Claims Sample This sample contains 1000 generated-from-scratch synthetic healthcare claim rows. Use case: Model specialty clinic procedure authorization, documentation, and payer coverage friction across multi-specialty outpatient settings. Synthetic-Only Boundary No PHI. No customer data. No patient-level source records. Generated from public healthcare references, explicit modeling assumptions, and deterministic synthesis code.… See the full description on the dataset page: https://huggingface.co/datasets/Upstream-Intelligence/specialty-clinic-synthetic-claims.
Specialty Clinic Synthetic Claims Sample
This sample contains 1000 generated-from-scratch synthetic healthcare claim rows.
Use case: Model specialty clinic procedure authorization, documentation, and payer coverage friction across multi-specialty outpatient settings.
Synthetic-Only Boundary
- No PHI.
- No customer data.
- No patient-level source records.
- Generated from public healthcare references, explicit modeling assumptions, and deterministic synthesis code.
Dataset Files
- Sample data:
specialty-clinic.csv - Manifest:
public_sample_manifest.json - Public source manifest:
public_source_manifest.json - Synthetic-only attestation:
synthetic_only_attestation.json
Schema
- Schema version:
0.4.0 - Total columns: 58
- Specialty context columns: specialtyserviceline, procedureauthorizationstatus, documentationcompletenessband, siteofservicecategory, followupvisitindicator
Source Coverage
- Public sources: 56
- Source stewards: 18
- Source categories: Appeals, Authorization, Claims Standard, Coding Edit, Coverage Policy, Enrollment Demographics, Fee Schedule, Interoperability
Public Sample Artifacts
specialty-clinic.csvpublic_sample_manifest.jsonpublic_source_manifest.jsonsynthetic_only_attestation.jsonLICENSE.md
Paywalled Delivery Artifacts
The following artifacts exist in paid delivery bundles and are intentionally omitted from public sample publication:
validation_report.jsonbenchmark_report.jsonpayer_behavior_report.jsoncash_flow_forecast.jsonscenario_report.jsontraining_corpus.jsonlclaim_realism_report.jsonclaim_edit_simulation_report.jsonadjudication_trace.jsonladjudication_trace_summary.jsonclaim_envelopes.jsonlremittance_advices.jsonltransaction_bundle_manifest.jsontransaction_validation_report.jsonsynthetic_edi_transactions.jsonlclaim_status_276_277.jsonlattachment_275_workflows.jsonlfhir_claim_eob_bundle.jsonltransaction_surface_manifest.jsontransaction_surface_validation_report.jsonworld_entities.jsonlpayer_policy_rules.jsonlcontract_terms.jsonloperations_states.jsonlworld_model_manifest.jsonworld_validation_report.jsoneconomy_operating_timeline.jsonleconomy_claim_intents.jsonleconomy_impact_report.jsoneconomy_kernel_manifest.jsoneconomy_kernel_validation.jsonpayer_policy_decisions.jsonlpayer_policy_decision_summary.jsoncontract_fee_schedule_lines.jsonlcontract_fee_schedule_manifest.jsoncontract_fee_schedule_report.jsonpayer_contract_simulator_config.jsonpayer_contract_simulation_manifest.jsonpayer_contract_simulation_report.jsonrevenue_cycle_events.jsonlagent_evaluation_tasks.jsonlevent_simulation_manifest.jsonevent_validation_report.jsonepisode_journeys.jsonlepisode_manifest.jsonepisode_validation_report.jsonoperating_timeline.jsonlsynthetic_documents.jsonlartifact_trace_graph.jsonloperating_artifact_graph_manifest.jsonoperating_artifact_graph_validation.jsonworkflow_replays.jsonlworkflow_replay_public_index.jsonworkflow_replay_engine_manifest.jsonworkflow_replay_engine_validation.jsonevaluation_suite_manifest.jsonevaluation_harness_report.jsonpopulation_control_report.jsonsynthetic_twin_aggregate_config.jsonsynthetic_twin_calibration_report.jsonsynthetic_twin_reproducibility_packet.jsondataset.lock.jsonrelease_ledger.jsonl
Limitations
- Synthetic datasets are for software testing, model training, workflow benchmarking, and scenario planning.
- The data should not be treated as observed payer behavior, reimbursement truth, or legal billing advice.
- Public sources support structure, constraints, and calibration targets; they do not expose proprietary payer distributions.
- Code presence is authoritative, but frequency and payer-specific usage are not provided.
- Explains remittance context but does not expose payer frequency distributions.
License
Dataset usage is governed by upstream-data-synthetic-dataset-eula-v0. Review terms before production use.
