Stanford Med · Unit 5B Medicine·Day shift·Mon · 9:42 AM

Throughput Analytics

Hospital-wide · live census + illustrative history
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MC
Census headline · live from the engine

The whole board, right now

Computed · 34 patients · as of May 25, 9:42 AM
Mean current LOS
3.9d
median 3d
In-house length of stay · 4 patients ≥ 7 days
Facility-bound
38%
13 of 34
Need a bed + acceptance · 21 community/home
High readmit risk
13
13 HRRP
Mean LACE+ 9.1 (0–30) · 21 moderate
Prior-auth pipeline
1
0 overdue
1 awaiting payer · 1 approved · 0 denied
0 of 34 fully cleared (all six pillars) · 11 medically ready — the rest are the active worklist.
Projected disposition mix
Home20
SNF6
Inpatient rehab3
Respite / shelter2
LTAC1
Memory care1
Hospice (home)1
All cross-sectional (as-of-now), computed live from the engine — dispositionFor · readmissionRisk (LACE+/HOSPITAL/Charlson) · pillarStatusFor · deriveAuthorizations. Trend-over-time numbers (deltas, discharge-by-noon) need the event-log history we don't have yet — those stay synthetic below.
Avoidable bed-days · live from the current census

Where the days are lost, by coded reason

Computed · 34 patients
Patients with barriers
13
of 34
The exception set — manage by exception
Avoidable bed-days
44
Reason-attributed, accruing now
Blocking now
3
≥1 BLOCKING barrier
Past EDD
0
Overdue vs estimated discharge
ALC admin days
10
Administrative (non-acute) days
Avoidable bed-days by reason
Guardianship / legal
19d
2 patients
Housing / social
19d
2 patients
Internal clinical
6d
1 patient
Payer authorization
0d
9 patients
Bed / service availability
0d
1 patient

Computed live from deriveBarriers() over the census — each open barrier accrues its age against its coded reason (AHRQ / InterQual delay-reason coding). The synthetic 30-day trend tiles + charts below are illustrative history, not computed.

Discharge forecast · live

By EDD window · on-track vs at-risk

34 predicted · 3 at-risk
Next 24h
3
3
+1 day
17
17
+2 days
8
9
Later
3
2
5
On track At-risk (blocking / past EDD)Computed from eddStatus + barriers
Unit-level bottlenecks · live

Avoidable bed-days by unit, right now

Computed
UnitCensusBarrieredBlockingAvoidable days
5B2510344d
S45300d
B64000d
Avoidable bed-days = sum of open-barrier ages on each unit's patients · computed live from the engine.
Synthetic historical trends · illustrative

Everything above is computed live from the current census via the engine. The charts below are seeded 30-day history to show the shape of the trend-over-time view — they are NOT computed, because month-over-month trends need the append-only event log that lands with the persistence backbone. Kept (clearly labeled) so the executive layout reads true.

Avoidable bed days

By barrier type · last 7 weeks

↓ 38% vs. 7-wk avg
Clinical-ready → actual discharge

Median hours · trending down

14h · target 12h
Case manager workload

Active patients · target ≤ 12

2 CMs over target
Prior auth TAT

Avg payer turnaround

18h
−47% vs. Q1
Post-acute placement TAT

Referral → SNF accept

34h
−45% vs. Q1
Medication access delay

Rx ordered → patient pickup

8h
↘ trending down
Demo data · no PHI · mocked Epic + payer endpoints