Healthcare analytics, examined.

Work relative value units are the currency of physician productivity — yet most practices track them monthly at best and by specialty cohort at worst. Here's what wRVU actually measures and why it belongs on your leadership dashboard.

Private equity has deployed hundreds of billions into healthcare. The firms that compound well share one discipline: they underwrite the clinical data, not just the financials.

Every major EHR has a reporting module. Most practice leaders have stopped trusting it. Here's the structural problem with native EHR reporting — and what a proper analytics layer actually looks like.

The standard healthcare due diligence checklist covers financials, compliance, and payer contracts. It almost never covers the 12 operational data points that predict whether current performance is durable.

Most practices assume billing problems live in the billing department. The data says otherwise — the real signals are buried inside your EHR.

Most provider productivity dashboards fail because they were built for data teams, not physicians and medical directors. Here's what a CMO actually needs to see — and how to build an analytics layer that gets opened every morning.

Financial statements tell you what happened. EHR data tells you why — and whether it will keep happening after close.

Most revenue cycle metrics are lagging — they tell you what already went wrong. These six metrics are leading indicators that give a medical practice 60 to 90 days of warning before a revenue problem fully compounds.

Managing a multi-site practice without location-level analytics means managing by exception — and only the exceptions loud enough to demand attention. Here's how to build a performance comparison framework that works across sites.

Accounts receivable aging is one of the oldest metrics in medical billing. Most practices read it as a snapshot. Here's how to read it as a predictive tool for revenue leakage.

Healthcare practice revenue is not the same as recurring SaaS revenue or retail same-store sales. The assumptions investors bring from other sectors lead to predictable and expensive post-close surprises.

Ambient AI documentation tools are being adopted fast. The downstream effects on coding, compliance, and practice analytics are not yet well understood.

EHR data analytics doesn't require a data science team or a six-figure software platform. Here's what it actually is, what it can tell you, and how practices of any size can start using it.