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Dashboard demonstrations built from synthetic data.

Every visual on this page is an original Soza-branded mockup using synthetic or anonymized figures. No client screenshots or identifiable information are published.

Demonstration data only—no real client or patient information. Screenshots are published only when they use synthetic data, anonymized demonstration figures, original Soza mockups, or material for which publication permission is confirmed.
Authorization Compliance and Forecasting

Met / On Pace

78%

Behind

42

Critical

17

  • Met54%
  • On Pace24%
  • Behind14%
  • Critical8%
Demonstration data only—no real client or patient information.

Authorization Compliance and Forecasting

Which active authorizations are compliant, on pace, behind, critical, or unable to meet requirements with the remaining authorized units?

Intended decision-maker

Clinical operations executives, authorization managers, regional directors

Example KPIs

  • Active and scorable authorization groups
  • Met or On Pace percentage
  • Critical authorizations
  • Behind authorizations
  • Insufficient units or amendment-needed conditions
  • Transition cohorts

Filters

  • Region
  • Clinic
  • Payer
  • Authorization manager
  • Date
  • Status

Source-data requirements

  • Authorization header and line detail with effective dates and authorized units
  • Service-code level completed or billable activity
  • Future scheduled appointments
  • Client-to-clinic-to-region hierarchy
  • Payer and authorization-manager attributes

Decisions supported

  • Which authorizations need an amendment request now
  • Where to add sessions before an authorization period closes
  • Which authorization managers are carrying the highest at-risk volume
  • Which regions need a scheduling intervention this week

Available as live or static reporting.

97153 Utilization and Attendance

Utilization

71%

Clinic cancels

6.4%

Client cancels

11.2%

  • Attended71%
  • Client cancel11%
  • Clinic cancel6%
  • Unscheduled12%
Demonstration data only—no real client or patient information.

97153 Utilization and Attendance

How effectively is authorized direct-treatment capacity becoming attended service?

Intended decision-maker

COOs, regional and clinic directors, scheduling leaders

Example KPIs

  • Authorized 97153 hours
  • Provided or attended hours
  • Utilization percentage
  • Authorized-versus-attended trend
  • Clinic-cancelled hours
  • Client-cancelled hours

Filters

  • Region
  • Clinic
  • Payer
  • Date range
  • Cancellation reason
  • Learner cohort

Source-data requirements

  • Appointment records with status and cancellation reason
  • Authorized 97153 units by client and period
  • Completed or attended service records
  • Clinic and region hierarchy

Decisions supported

  • Which clinics are losing the most deliverable hours to cancellations
  • Whether utilization gaps are a scheduling problem or an authorization problem
  • Where cancellation responsibility patterns warrant an operational conversation
  • Which weeks are trending away from the utilization target

Available as live or static reporting.

97155 Supervision and Capacity Planning

Required 97155

1,140 h

Coverage

83%

Uncovered need

194 h

  • Covered83%
  • Planning est.9%
  • Uncovered8%
  • Protected min.22%
Demonstration data only—no real client or patient information.

97155 Supervision and Capacity Planning

How much qualified-clinician capacity is required, where are the gaps, and which hours may be available for further operational review?

Intended decision-maker

Clinical operations executives, regional directors, capacity planners

Example KPIs

  • Current 97153 hours
  • Current 97155 hours
  • Projected 97153 hours
  • Projected 97155 hours
  • Current and projected protocol-modification or supervision ratios
  • Required 97155 hours

Filters

  • Provider
  • Client
  • Clinic
  • Region
  • Date range

Source-data requirements

  • 97153 and 97155 service activity by provider and client
  • Authorized units with period start and end dates
  • Provider assignment and clinic mapping
  • Future scheduled appointments for projection

Decisions supported

  • Where supervision coverage is short for the coming month
  • Which clinics may have capacity worth reviewing as donors
  • Which scheduling priorities to act on first
  • How projected volume changes the required supervision hours

Available as live or static reporting.

Clinical Goals Monitoring

Active targets

3,410

Needs review

268

On track

76%

  • On Track76%
  • Slow Progress11%
  • No Progress7%
  • Regressing3%
  • No Recent Data3%
Demonstration data only—no real client or patient information.

Clinical Goals Monitoring

Which active treatment targets require clinical review based on recent data and trend behavior?

Intended decision-maker

Clinical directors, program supervisors, quality leaders

Example KPIs

  • Regression phase changes
  • Recent slope
  • Recent learning opportunities
  • Treatment days
  • Recent average performance
  • Days since last data

Filters

  • Client
  • Clinic
  • Program
  • Clinician
  • Status
  • Date range

Source-data requirements

  • Target-level data collection with dates
  • Phase-change records
  • Program and target metadata
  • Clinician and clinic assignment

Decisions supported

  • Which targets to review in this week's clinical meeting
  • Where data collection has lapsed
  • Which programs show sustained lack of progress
  • Which clinicians may need additional support

Available as live or static reporting.

Executive and Revenue Cycle Performance

Clean-claim rate

94%

Denial rate

5.8%

Unbilled services

612

  • 0–30 days58%
  • 31–60 days22%
  • 61–90 days12%
  • 90+ days8%
Demonstration data only—no real client or patient information.

Executive and Revenue Cycle Performance

Where are revenue, billing, collections, utilization, and operational performance requiring executive attention?

Intended decision-maker

Owners, CEOs, COOs, CFOs, controllers, revenue-cycle leaders

Example KPIs

  • Active clients
  • Authorized, scheduled, rendered, documented, billed, and paid services
  • Completed but unbilled services
  • Charges submitted
  • Expected allowed amounts, when available
  • Payments received

Filters

  • Region
  • Clinic
  • Payer
  • Service code
  • Date range
  • Exception type

Source-data requirements

  • Claim, charge, and payment detail
  • Denial and adjustment reasons
  • Service-level rendered and documented activity
  • Payer and fee-schedule reference data where available

Decisions supported

  • Which completed services are not yet reaching billing
  • Which payers and reasons are driving denials
  • Where receivables are aging beyond expectation
  • Which clinics need an operational or financial review

Available as live or static reporting. Exact measures depend on source-data availability.

Sample executive report

A downloadable sanitized executive report will be published here once an approved PDF is available.

Never published

  • Client or organization logos
  • Patient or learner names
  • Client IDs
  • Provider or employee names
  • Actual clinic operating figures
  • Identifiable authorization data
  • Screenshots from a private Power BI workspace
  • Unapproved customer results
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