Notes from the practice.
Practitioner-level guides on EHR integration, FHIR APIs, HCC risk adjustment, the CMS ACCESS Model, and the data and AI infrastructure that makes value-based contracts perform.
How to Eliminate Distributor Chargebacks in Consigned Medical Device Inventory
Distributor chargebacks quietly leak 3 to 8 percent of revenue in medical device manufacturing. Here are the three root causes and how a unified consumption, billing, and contract platform catches them pre-issue.
Inventory Shrinkage in Multi-Site Consigned Stock: The Five Signals We Look For
Consigned inventory shrinkage is harder to see than owned-inventory shrinkage. The signals live in the data. Here are the five we look for in every first assessment.
The Dead Stock Problem: How Averaging Demand Costs Manufacturers 20% of Revenue
Stocking to the average across a multi-site network guarantees simultaneous stock-outs and dead stock. Classical forecasting cannot fix it. Placement modeling can.
From Quarterly to Weekly Demand Forecasting on Microsoft Fabric: A Practitioner Guide
Planners should not be a data pipeline. A two-phase approach returns planner hours in Phase 1 and delivers a consolidated Microsoft Fabric platform with best-fit models and a GenAI layer in Phase 2.
Consigned Inventory Placement with Monte Carlo Simulation: A Manufacturer Playbook
Placement is not forecasting. Monte Carlo simulation over consumption, billing, transfer, and location records produces per-site stocking policies that deterministic optimizers cannot match.
AI for Manufacturing Operations: Where It Pays Off and Where It Does Not
Everyone has an AI pilot. Almost nobody has a second one. Here is where AI genuinely changes manufacturing operations, where it does not, and the sequencing that produces measurable outcomes.
CMS ACCESS Model: Complete Provider Readiness Guide
The comprehensive readiness guide for ACOs and health systems entering the CMS ACCESS Model. Five operational pillars, 18-month timeline, scoring framework, build-vs-buy decisions, and the year-1 operating model.
FHIR API Readiness for ACOs: USCDI v3, SMART on FHIR, Bulk Data, and Production Hardening
Cluster article on Pillar 1 of the CMS ACCESS Model readiness framework. The technical depth on what production FHIR APIs require for ACO data teams: resource coverage, auth patterns, Bulk Data, and the production hardening non-negotiables.
PROMs Collection at Scale: Hitting Sustained 40 to 50 Percent Response Rates
Cluster article on Pillar 2 of the CMS ACCESS Model readiness framework. Instrument selection, four-channel delivery, the patterns that move response rates from pilot levels to ACCESS-eligible scale, and how PROMs surface in clinical workflow.
Outcome Attainment Scoring: The Highest-Leverage Element in ACCESS Model PY1
Cluster article on Pillar 3 of the CMS ACCESS Model readiness framework. Why outcome attainment is the genuinely new scoring element, the clinical-content governance that has to ship before the engine can score, and the dashboard layer that closes the loop.
CMS ACCESS Model Timeline: Application, Build Work-Back, and Five-Year Performance Cadence
Cluster article on the ACCESS Model timeline. Application timing decisions, the 18-month build work-back, performance year 1 operating cadence, and how risk-track economics evolve through performance year five.
What is the CMS ACCESS Model? A Practical Guide for ACOs
The CMS ACCESS Model launches in 2026. A practical guide for ACOs on the requirements (FHIR APIs, PROMs, outcome attainment) and how to prepare.
HCC Risk Adjustment Automation with NLP: A 2026 Guide
How HCC risk adjustment works under V28, why manual coding leaves revenue on the table, and what an NLP pipeline on Azure and Microsoft Fabric looks like.
Epic FHIR Integration for ACOs: What Actually Works
A practitioner's guide to Epic's FHIR R4 API for ACO data teams: App Orchard vs. public FHIR, Bulk Data, auth, rate limiting, and common pitfalls.
Building an ACO Data Platform: Architecture & Requirements
Reference architecture for an ACO data platform, lakehouse layers, key data products (attribution, care gaps, HCC, quality measures), and build-vs-buy.
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