Every Perioptimal engagement produces a working analytics layer that the institution operates after the engagement concludes. This demo walks through what that layer looks like across all four lenses, using synthetic data for a fictional pediatric academic medical center. The methodology is identical to engagement deliverables -- only the data is fabricated.
What this surfaced: A discernible upward shift in mid-February driven by patient-related factors (NPO violations, day-of medication issues). Decomposed by reason in the next panel. Pre-op completeness rate also dropped 2.1 points in the same window -- the two are likely related.
Avoidability: 64% of patient-related and 71% of scheduling cancellations are classified avoidable. The structural lever is upstream pre-op coordination, not day-of recovery.
Cardiac post-op cluster: Cardiac service shows elevated PACU-phase events compared to other services. The methodology traces this back to a specific recovery-phase staffing pattern at end-of-day. The intervention target is structural rather than individual.
The mid-February rate inflection traces to a 7-day window of elevated patient-related cancellations. Decomposition: 68% NPO violations and 19% day-of-medication issues. Pre-op completeness rate fell 2.1 points in the same window. The recommendation is upstream pre-op screening reinforcement, not day-of process improvement -- the visible failure (cancellation rate) is a downstream symptom of an upstream coordination gap.
Cardiac PACU-phase event rate is structurally elevated but follows a recoverable pattern. Recommendation: end-of-day cardiac PACU staffing reinforcement targeted at 16:00-18:00 window where rate concentrates.
Att-07 burnout flag: not the highest workload but combination of workload, late finishes (28% vs. 23% institution), call burden (top quartile), and zero PTO taken in Q1 produces a composite burnout signal of 78 (relative to roster). Recommendation: redistribute Q2 call load.
Tue/Thu 14−16h slip: ratio degrades to 5.0−5.2:1 specifically at this window because complex cardiac cases overlap with mid-shift transitions. Average compliance hides the slip pattern.
Cardiac call concentration: 5 attendings carry the cardiac call rotation, but Att-07 carries the top end at 14 nights (44% above cardiac avg). Combined with workload concentration and zero PTO usage, this is the structural driver of the 78 burnout signal. Recommendation: redistribute Q2 cardiac call to bring Att-07 closer to the cardiac avg of 12.
The composite signal of 78 (out of 100) for Att-07 decomposes as: workload top-quartile (acceptable), late-finish rate 28% vs. roster avg 23% (high but not flag-level alone), cardiac call frequency 14 nights vs. cardiac peer avg 12 (concentrated), PTO usage 0 days in Q1 (significant). The combination produces the flag, not any single dimension. Recommendation: cardiac call redistribution + mandatory PTO usage policy reinforcement.
Tue/Thu 14:00−16:00 supervision ratio degradation traces to a recurring service-mix combination (cardiac complex case overlap with mid-shift transition). Recommendation: structural staffing pattern revision for these specific windows.
Pre-op staffing dominates: the largest single driver of late starts is pre-op staffing readiness, not surgeon or anesthesia behavior. The fix is upstream of the OR. Most institutions discover that 60-80% of first-case variance comes from causes outside the OR director's direct control.
Cardiac variance dominates: median is reasonable but the wide IQR and two outliers (88 + 92 min) drive the institutional avg up. Decomposition reveals outliers cluster on Tuesdays/Thursdays (overlapping with the supervision-ratio degradation).
Cardiac drives 64% of overrun: the institutional +47 min average end-of-day variance is concentrated in cardiac. Decomposing further: cardiac runs +82 min median over predicted finish. The booked-vs-actual gap is the actionable signal -- the schedules are systematically optimistic for cardiac case-mix.
The first-case start variance traces 60% to upstream pre-op staffing rather than OR-side behavior. The recommendation is structural -- pre-op staffing increase + arrival-time policy adjustment -- not generic process improvement.
Cardiac end-of-day variance reveals systematically optimistic case-mix scheduling. The schedules predict 82 minutes earlier than reality. The fix is upstream booking realism, not late-day compression. (Compression would land on the same Att-07 already showing burnout signals.)
Block utilization at 84% institutional is acceptable but General Surgery at 67% with high release-and-unfilled rate suggests demand-side or surgeon-allocation issue. Detailed in the institution lens.
General Surgery unfilled signal: 11% released-and-unfilled vs. institutional 4%. Combined with elevated release-and-rebooked rate, this points to a demand-side or surgeon-allocation pattern. Either insufficient case volume to fill blocks or a coordination gap in rebooking. Recommendation in next viz.
General Surgery is the recoverable opportunity: contribution margin is below trend and below capacity-implied potential. The dashed overlay is the modeled CM at full block utilization (operational, not nominal). The fix is upstream of the day lens -- demand-side coordination.
Trend stability: volume and on-time rate trended together through Q4 2025, then diverged in Q1 2026. The Q1 first-case rate dropped 6 points without a corresponding volume change -- the slip is operational, not demand-driven. The diagnosed driver is the pre-op staffing pattern surfaced in the day lens.
$0.3M Q1 contribution margin shortfall is concentrated in General Surgery's underutilized blocks. The fix is upstream of the day lens: surgeon-side allocation patterns and demand-side coordination. Modeled recovery: $300k per quarter at 78% utilization (achievable target).
Capacity headroom of 11% is structural, not operational -- the institution can absorb meaningful volume growth without infrastructure investment, conditional on resolving the General Surgery utilization issue. Cardiac is at the operational ceiling and adding cardiac volume would require addressing the Att-07 burnout signal first.
The 24-month measurement window will attest to recovery of: (a) General Surgery utilization to 78%+, (b) cardiac end-of-day variance reduction to under +30 min median, (c) Att-07 burnout signal reduction to under 60 via call redistribution, (d) first-case on-time rate recovery to 78%+.