athenaOne data, out of the portal and into your own model
Provider productivity and wRVU per provider, encounter volume, scheduling and no-show rates, payer mix, days in AR and net collection — modelled from your own athenaOne extract by a senior US engineer, on a refresh schedule that matches the route your agreement allows.
Representative dashboard — sample data
Ambulatory reporting, on your definitions
Physician practices running athenaOne rarely lack numbers. What they lack is encounter and charge data sitting next to the general ledger, the provider compensation model and the budget, calculated their way, on one page a managing partner will actually open. That is a modelling job, and it starts with settling how the data leaves athenaOne.
That part has become easier than it used to be. athenahealth publishes a customer-facing analytics path — a browser-based SQL editor over your own practice data, with a warehouse pipe for groups that want the data landing in a platform they control — which means a Power BI model can be built on queryable tables rather than on someone re-running a report each Monday. Which route is open to you still depends on your agreement and the products you license, so we confirm it in writing before scoping anything.
Views we build from athenaOne data
Buy a block of prepaid Flex hours and, if you're unhappy within the first 4 hours, we refund you in full — no questions asked. Hours are deducted only for work you've reviewed and approved, there's no project minimum, and your banked hours never expire.
Why practices come to us
You describe the reporting; a senior engineer settles the data route, models your real providers, locations, departments and payers behind it, and keeps it refreshing.
Data View query access, a warehouse pipe, an API entitlement or scheduled exports — we establish what your agreement and configuration actually permit, name it in the scope estimate, and only then start building.
Visits and charges from athenaOne, revenue and expense from your accounting system, provider salaries and hours from payroll, targets from the budget file — one model, so cost per encounter and revenue per encounter share a denominator.
What counts as a worked session, whether a same-day cancellation is a no-show, how a supervising provider's wRVU credit is split — these are practice decisions, not software defaults. We write your answers as measures, once.
We schedule the dataset to run when the data is genuinely available, monitor it, and fix breakages from your banked hours — the part a self-service connector quietly hands back to you.
Productivity, scheduling, payer mix and AR — deliberately not a clinical quality programme. A narrow scope keeps the extract minimal, the governance simple and the first build genuinely testable.
One page ranks every site and specialty on productivity, no-show rate and days in AR; two clicks later you are inside a single provider's schedule and payer detail. The same model answers both questions.
Deliberately, not by dropdown. Power BI ships no first-party athenahealth connector, so the route is arranged, and which routes are open to you depends on your athenahealth agreement, the products you license and how your practice is configured. In practice it is one of five, and the first hour of any engagement is spent establishing which.
| Route | What it gives you | Practical limits |
|---|---|---|
| athenaOne Data View (browser-based SQL editor) | Direct SQL access to your own practice data on athenahealth's Snowflake-backed analytics platform — queryable tables instead of re-run reports | Has to be licensed and enabled for your practice, and someone needs to know SQL; the tables are athenahealth's shape, not a star schema |
| Enterprise data warehouse pipe | Your athenaOne data delivered into a warehouse or data share you control, with history retained on your side | Usually a paid, contracted add-on; needs a warehouse and an owner for it before the reporting conversation starts |
| athenahealth APIs (developer / Marketplace programs) | Programmatic access to published resources, refreshed on your schedule rather than a vendor's | Requires enrolment and practice authorization; scope is limited to the resources athenahealth publishes |
| HL7 or FHIR interfaces | Standards-based clinical and demographic exchange between athenaOne and other systems | Built for interoperability, not finance — a weak fit for AR, payer mix and productivity reporting |
| Scheduled report exports (CSV / Excel) | A workable fallback when nothing else is entitled; uses reports your billing team already runs | Fragile if a human runs it; a changed column breaks the model silently unless the pipeline validates it |
Where the data sits in a Snowflake-backed platform or a warehouse you control, Power BI connects through documented paths — Microsoft publishes both the Snowflake connector (opens in new tab) and the SQL Server connector (opens in new tab) — and if the target database sits on your own network we configure Microsoft's on-premises data gateway (opens in new tab) so scheduled refresh can reach it. Where only exports exist, we build a dependable pipeline from those rather than pretending a live connection is there.
athenahealth does not hand customers a published relational schema to design against, so the exact table shape depends on the route and entitlements you have. What holds true in every engagement is which data domain carries which number — and that mapping is what we write into the scope estimate before any report page is designed.
The encounter and appointment record carries visit volume, encounters per provider and per session, new versus established patient mix, no-show and cancellation rates, and slot utilization by location and department. The charge and procedure detail carries wRVU — work relative value units, the productivity currency most physician compensation plans run on — per provider, per session and per specialty, along with charge lag, the gap between date of service and date billed, which is where quiet cash delays live. Payer and claim status data carries payer mix, days in AR, clean claim rate and net collection rate. The provider and scheduling roster supplies the denominators without which none of the above is comparable: clinical FTE, sessions worked, and which providers share a panel.
Shaping those domains into one model that answers group questions and single-provider questions from the same measures is ordinary discipline done carefully, and it is covered in depth on our data modeling and DAX page.
Four numbers and their context. Encounters per clinical session and wRVU per clinical session, each against the provider's own trailing average rather than a league table; the no-show and cancellation rate sitting beside them, because an underperforming session is often a scheduling problem rather than a provider one; and slot utilization, which tells you whether the capacity existed in the first place.
Around those, the pages that earn their place are payer mix by provider and location, charge lag by provider, and days in AR trended by payer. Deliberately absent: reason-code level denial analysis and appeal tracking. That is a different build with a different audience, and it is covered properly on our Power BI denial management dashboard page rather than bolted onto a productivity report.
It sits outside the product, which is the whole point. The reporting inside athenaOne is built on athenahealth's model and answers athenahealth's version of the question, which is genuinely useful for a billing manager working a worklist — and we say so rather than pretending otherwise.
It stops at the edge of athenaOne. Your general ledger is not in it. Neither is payroll, provider compensation, the budget, the referral log, the ambulatory surgery centre on a different system, or the practice you acquired last year that has not migrated. Nor are your definitions: the measures are the vendor's, in the vendor's layout. The administrators who call us have usually already lived inside that reporting and concluded they need a model they own, in a tool their accountants and their board already read.
Your dashboard is exactly as current as its route, and a build that pretends otherwise loses trust in week one. A query or warehouse path can refresh several times a day, so this morning's schedule and yesterday's charges are genuinely current. A scheduled export makes the report a next-morning picture, and we set refresh to run after the file reliably lands rather than at a convenient-looking hour.
Microsoft's documented data refresh limits (opens in new tab) apply: Power BI Pro supports up to eight scheduled refreshes per day, with more frequent options on higher tiers. For multi-year charge and AR history we add incremental refresh (opens in new tab) so each run processes only what changed. Every page carries its own "data as of" stamp, so nobody argues about whether they are looking at today.
We keep this build on the operational and financial side of the line on purpose. Productivity, scheduling, payer mix and AR can be modelled at provider, department, location and payer level without patient-identifiable detail, and a minimal extract is easier to approve, easier to govern and faster to deliver. Where patient-level granularity is genuinely required, access is restricted with row-level security (opens in new tab) in line with your minimum-necessary policy — commonly so each provider sees their own panel and each site director sees their own location.
On the platform itself, Microsoft documents its HIPAA and HITECH compliance (opens in new tab) and the Business Associate Agreement that covers Power BI — but no tool makes a practice compliant. The controls, the agreements and the governance remain yours, and we will tell you when a request sits outside what this scope should carry.
You buy prepaid Flex hours that never expire: Starter $2,500, Growth $4,600, or Power $8,000, with hourly rates from $100 on the largest block. A first build covering provider productivity, scheduling and no-shows, payer mix and days in AR typically fits inside one block once the data route is settled. There is no project minimum and no retainer — refill when you're ready for more.
Before any work begins you get a scope and hours estimate, and hours deduct only for builds you approve. Most focused builds ship in 3–5 business days once the data is flowing; the variable is nearly always how long it takes to get query access or a feed turned on, which is why we do that first. If you're building an internal budget, our guide to Power BI dashboard development cost breaks down what drives the number.
Practice administrators, physician-practice CFOs and controllers, revenue cycle managers and managing partners at ambulatory groups, specialty practices and multi-site medical groups running athenaOne without an in-house BI team. If your question is tool-agnostic clinical throughput — patient flow, census, length of stay across a hospital or health system — start on Power BI for healthcare instead. Practices running eClinicalWorks instead have a completely different extraction story — scheduled eBO output, an eBO custom extract or a read-only database extract where the practice self-hosts — covered on our eClinicalWorks Power BI dashboard page. Skilled nursing and senior-living operators have a different source system and a different metric set entirely, covered on our PointClickCare Power BI dashboard page. Single-site and group dental practices work from production, collections and hygiene reappointment rather than wRVU — see Power BI for dental practices. If you'd rather buy senior engineering hours and direct the work yourself, hire a Power BI developer by the hour instead. Contact is form-only — send your request and we'll reply with a scope estimate.
business days, typical
hours, never expire
own everything
A first athenaOne build usually fits inside one Flex block once query access is settled. See Flex pricing →
How it works
Tell us your locations, specialties and provider count, which athenahealth products you license, and the pages you need. We work out which extraction route you can actually use and reply with a scope and hours estimate naming it explicitly, before any work begins.
A senior US-based engineer lands the extract, builds the semantic model and DAX behind productivity, wRVU, scheduling, payer mix and AR, and validates the totals against the athenaOne reports your billing team already trusts — most focused builds in 3–5 business days.
We publish to your workspace, schedule refresh to run when the data is available, configure row-level security so providers and site directors see the right slice, and hand over the report and credentials. You own everything; we maintain it from your banked hours.
Representative perspective
Every partner had their own spreadsheet for wRVU per session, and no two agreed. One agreed definition, calculated once, ended an argument we'd been having at every partners' meeting.Managing partner, multi-site specialty practice
Representative perspective
The valuable part was being told exactly which query access we already had before we budgeted for anything, rather than discovering the gap three weeks into a build.Practice administrator, ambulatory medical group
Tell us your provider and location count, the athenahealth products you license, and the four or five numbers your practice meeting actually turns on. We'll come back with the data route and a scope estimate in hours.
FAQ
Power BI ships no first-party athenahealth connector, so the route is arranged rather than picked from a dropdown. In practice it is Data View's browser-based SQL editor over your Snowflake-backed practice data, an enterprise data warehouse pipe into a warehouse you control, an API entitlement through athenahealth's developer and Marketplace programs, HL7 or FHIR interfaces, or scheduled report exports.
No, but it is usually the shortest path. Data View gives analysts SQL access to their own practice data, which is exactly what a semantic model wants. Where it is not licensed or not enabled, we build from a warehouse feed, an API entitlement or scheduled exports instead, and we confirm which applies before quoting.
The reporting inside athenaOne answers athenahealth's questions on athenahealth's definitions and stops at the edge of the product. A Power BI model puts your definitions in charge and sits your general ledger, payroll, budget, referral log and any practice on a different system beside the encounter data. You own the model and can change it.
The ambulatory operating set: encounters and visits per provider and per session, work relative value units per provider, scheduling and no-show rates, slot and room utilization, new versus established patient mix, payer mix, charge lag, days in AR, clean claim rate and net collection rate. Denial reason-code analysis is a separate build.
As often as your route allows, and no more. A warehouse or Data View query path can refresh several times a day; a scheduled export is a next-morning picture. Microsoft's documented limit is up to eight scheduled refreshes a day on Power BI Pro, with more on higher tiers, and every page carries a data-as-of stamp.
No. We are an independent US-based Power BI service and claim no athenahealth or Microsoft partnership. We work only through supported, documented routes into data your practice already owns, and our engineers are Microsoft-certified. We will not overstate either relationship to win the work.
This page stays on the athenaOne data path and the ambulatory operating KPIs that come out of it. The tool-agnostic clinical throughput view for hospitals and health systems sits on Power BI for healthcare; the claims, appeals and 835 remittance story lives on Power BI denial management dashboards; post-acute and senior-living operators belong on PointClickCare Power BI dashboards. Once your reporting is live, a Power BI health check keeps refresh, performance and access honest. Every task is scoped from your prepaid block of senior-led hours — no project minimums, and hours are deducted only for work you approve.
Book a free demo
Tell us the task. We scope it, you approve, and a senior consultant delivers — typically in 3–5 business days. Prepaid hours that never expire.
The fastest way to reach us is the form — tell us the task and we'll reply within one business day.