Study archive · AI simulation with synthetic data · Human validation pending

Internal reference-report rehearsal — scenario B

Prepared by the assistant from supplied CSV reports. No human analyst or independent reviewer participated. Preparation time and clarification requests were not measured.

Focus: Orthopedic Surgery / HCPCS 27130 / generated CY2022 → synthetic CY2023.

Procedure evidence

CY2022: $222.06 per service; 2,990 services. CY2023: $213.47 per service; 3,117 services. Payment change: −$8.59 (-3.9%); service change: +127 (+4.2%). Percentages use the prior-year denominator; payment differences use mart values rounded to cents.

Observation and limits

Payment per service falls while service count rises in this constructed comparison. The earlier-year scenario is generated and 2023 is synthetic. These figures do not establish observed history, cause, practice profitability or account need. The pressure score is not validated against sales outcomes.

Sales follow-up first

At the invented 2026-08-31 scenario snapshot, 47 of 47 open opportunities have past-due close dates: $6,272,200.00 assumed USD annual contract value. They remain in the unweighted open-stage total until reviewed. The balance is not recognized revenue or a sales forecast.

Open question

Which stages and close dates need confirmation before planning, and which raw records explain the constructed payment comparison?

Next reviewers and requested checks

Sales operations lead: reconcile the supplied opportunity stages and close dates before planning; do not remove or close deals automatically. Specialty analyst: reproduce this HCPCS comparison from pinned inputs, record unresolved issues, and establish account needs through discovery before a commercial recommendation.

Status: illustrative draft; source and account validation pending. Naming a reviewer does not assign or send the brief.

Sources

https://github.com/kristenmartino/specialtypulse_pipeline/blob/7cd9592e01f24cdfe77612ca97dc0852a5753877/data/sample_mart_reimbursement_trends.csv https://github.com/kristenmartino/specialtypulse_pipeline/blob/7cd9592e01f24cdfe77612ca97dc0852a5753877/data/sample_2022_puf_10k.csv https://github.com/kristenmartino/specialtypulse_pipeline/blob/7cd9592e01f24cdfe77612ca97dc0852a5753877/data/sample_2023_puf_10k.csv https://github.com/kristenmartino/specialtypulse_pipeline/blob/7cd9592e01f24cdfe77612ca97dc0852a5753877/data/sample_sfdc_pipeline.csv