Provider schedule & template review
A detailed review of current templates, session lengths, slot logic, blocks and overbooking rules across each provider and location.
Operational diagnostic · $497 one-time
A full schedule is not always an efficient schedule. We analyze how appointments, administrative workload, provider capacity, and productivity interact — then build a more sustainable operating model around your providers.
A structured operational diagnostic of your scheduling model, provider capacity and productivity data — delivered as an executive findings summary with a proposed scheduling structure and a provider productivity dashboard framework. No sales call required — Written findings are returned within 10 business days of a completed intake. Intake instructions are emailed immediately after payment is confirmed.
Most scheduling models are built to maximize booked slots. They rarely account for appointment complexity, documentation time, medication refills, patient messages, results review, or the administrative work that sits between visits.
The result is predictable: the template looks productive, access still feels tight, and providers finish the workday at home. Leadership sees inconsistent productivity across providers without clear data explaining why.
This analysis looks at how appointments, administrative workload, provider capacity and productivity actually interact in your organization — then proposes a scheduling structure built around capacity providers can sustain.
A detailed review of current templates, session lengths, slot logic, blocks and overbooking rules across each provider and location.
How appointment types, complexity mix and durations are distributed — and where the template assumes capacity that does not exist.
A defined set of provider productivity and access measures with definitions, data sources and review cadence.
A dashboard structure your team can build and maintain, showing provider productivity, utilization and access at a glance.
Medication refills, patient messages, results review, documentation and other administrative work — where it lands and what it costs in provider time.
Practical changes to templates, appointment types, blocks and protected administrative time, sequenced by effort and impact.
A recommended template model built around sustainable provider capacity rather than maximum bookable slots.
Patient-access, utilization, productivity and potential revenue opportunities identified from the operational data reviewed.
A written summary for owners, administrators and leadership: what was found, what it means, and what to do first.
The analysis identifies workflow, capacity, access, productivity and potential revenue opportunities. It does not guarantee revenue, and results depend on what your organization implements.
Reserve the engagement at a one-time $497 fee. You receive intake instructions immediately after purchase is confirmed.
Share non-PHI operational scheduling and productivity information: templates, appointment types, hours, volumes and current challenges.
Shayna reviews the operating model and develops the capacity analysis, productivity dashboard framework and scheduling recommendations.
You receive the executive findings summary, proposed scheduling structure and recommended next steps.
Do not submit PHI or any patient-identifiable information. Share operational and aggregate scheduling data only — templates, appointment types, hours, volumes and productivity measures.
If the findings call for hands-on execution, they scope directly into an implementation engagement — a $2,500 deposit credited in full against the agreed engagement fee, not the total project price. Continuing is optional.
$497 · One-time engagement fee
Purchase by secure card checkout — no call required. Intake instructions are emailed as soon as payment is confirmed, and work begins once your intake is complete. If you would rather have scope confirmed before paying, submit the intake form instead and Shayna will reply directly.
Questions? Contact Shayna at shayna.healthops@gmail.com.