Load a synthetic department archetype
Deterministic test fixtures. Each one produces a materially different limiting constraint.
Services in this model: Routine outpatient EEG, Inpatient / portable EEG, Ambulatory EEG, Pediatric / adaptive / sensory-needs EEG, Critical-care / cEEG, After-hours / 24-7 coverage.
Stress cases — ugly departments
Deliberately contradictory, incomplete and awkward synthetic departments used to check that the model refuses to answer when it should. Each one loads its own competency evidence.
Assumptions
SyntheticVolumes (per month)
Staffing and shrinkage
Deployment, rooms and equipment
Training and after hours
Financial
Outpatient access evidence
Why openings occur (all optional, unknown stays unknown):
Workforce deployment
Expected technologists present on weekdays (empty = unknown). This is attendance, not FTE and not a judgment of any individual.
Leave and absence
Room template positions
Recurring weekly positions — the real bookable capacity. Flexible positions (eligible for more than one service) are counted once.
cEEG workflow
Outsourced monitoring makes local monitoring labour a real zero — local technical tasks remain workload, with unknown durations kept unknown.
Data quality: PROVISIONAL — LOCAL VALIDATION NEEDED
Provisional conclusion. It rests on NeuroOps planning defaults rather than measured local work, and should be validated locally before anyone spends money on it.
Every task time in this run is a NeuroOps planning default. The conclusion is provisional: it describes the model's starting assumptions, not measured local work.
Resolve by: Enter local observed task times, or an organization estimate, for at least the dominant work types.
Inputs involved: calibration
Diagnostic findings — what this data actually supports
Each domain carries its own evidence state. A missing input withholds only the conclusions that depend on it; supported findings elsewhere still stand. No constraint is ever inferred from missing data.
Outpatient capacity saturation
NEEDS INPUTWhether scheduled outpatient capacity is saturated relative to demand cannot be stated: no persistent-wait evidence was supplied.
Smallest next data: The current outpatient wait (weeks), as reported by the department.
Excess-demand magnitude
NEEDS INPUTThe SIZE of unmet demand is unknown. Saturation says demand exceeds the schedule; it does not say by how much. Completed throughput is not demand.
Smallest next data: Count referrals/orders received per week (and queue depth at week start) from the scheduling system. This is required for sizing any expansion — not for recognizing saturation.
Deployable capacity by time of day
NEEDS INPUTOnly nominal FTE is known. Whether all of it is present and deployable across the operating window is not, so concurrency and partial-day coverage conclusions are withheld.
Smallest next data: Expected attendance by time band (e.g. how many of the nominal FTE are present 08:00–11:00 vs 11:00–16:30), with a basis: contractual, reported-recurring, or assumed.
PTO accrual vs actual absence
NOT APPLICABLENo leave model supplied: shrinkage runs on the single coarse PTO/sick percentage. Accrual-vs-absence, combined-bank holiday handling and early-release guards were not assessed.
Bookable capacity from the room template
NEEDS INPUTNo appointment template was supplied, so bookable capacity is derived only from open hours ÷ slot length — a PHYSICAL THEORETICAL UPPER BOUND that overstates real capacity wherever a room is mixed-use, holds reserved positions, or runs committed non-outpatient time.
Smallest next data: The recurring weekly template as positions: day, start time, duration, eligible services, reservation state (open / reserved / blocked), staff required — plus its effective dates.
cEEG monitoring vs local technical work
NEEDS INPUTWho performs ongoing cEEG monitoring — in-house, outsourced, or hybrid — is not recorded. The model cannot separate ongoing-monitoring labour from local technical work (hookup, troubleshooting, removal), so cEEG labour conclusions are withheld.
Smallest next data: Who monitors cEEG, and which local technical tasks are performed locally, with rough durations.
Ambulatory multi-touch workload
SUPPORTEDAmbulatory EEG is modelled as multiple distinct local encounters — setup/start, and return/disconnect plus any other local touches — not as one generic case. Where a template position is eligible for routine OR ambulatory work, it is a flexible position counted once, so multi-touch work and routine work can share it without double-counting.
- · Starts: 14/month. [Reported estimate]
- · Return/disconnect touches: 14/month. [Reported estimate]
Intervention gates
Prescriptions are gated separately from findings. A withheld gate is not a refusal to think — it names the smallest next data that would resolve it.
| Intervention | State | Why | Smallest next data |
|---|---|---|---|
| Two-week protected-time and booking trial | WITHHELD | Saturation itself is not yet supported, so even the diagnostic trial lacks its premise. | Wait evidence plus schedule fill level. |
| One-room simultaneous physical limitation | NOT APPLICABLE | 2 rooms are in service; the single-channel limitation does not apply. | In-service room count, excluding rooms out for repair or shared away. |
| Second room / added physical capacity | WITHHELD | Whether additional physical capacity helps depends on three things this run cannot yet establish together: that routine positions are saturable (template + fill), that technologists would actually be free at the new positions' clock times (time-of-day availability), and how much unmet demand exists (referral rate). A room staffed by nobody adds zero studies. | Referral/order arrival rate; expected technologist attendance at the proposed slot times; the current template's bookable positions and their fill. |
| Prescribe an exact FTE increase | WITHHELD | An exact staffing number cannot be defended while volumes, local task times, time-of-day availability or verified capability are incomplete. A conclusion this specific requires data that specific. | Monthly volumes per work type; local observed task times for the dominant work types; expected attendance by time band; the employer-verified competency matrix. |
| Shift-model choice (10-hour / 12-hour / weekend blocks) | WITHHELD | Comparing shift models requires knowing when demand lands (dayparts) and when people are actually present (bands). Neither is fully supplied, so any 10s/12s/weekend verdict would be a guess. | Per-daypart request/arrival counts; expected attendance by band for the alternative patterns; weekend demand evidence. |
Training capacity — can this department take another learner?
Workforce production is a capacity question in its own right. Preceptor capacity is judged separately from total staffing and from clinical competency.
Training capacity cannot be judged. Not supplied: clinical affiliate status. Nothing has been assumed in their place.
| Factor | Value | What it means |
|---|---|---|
| Employer-verified preceptors | 2 | More than one verified preceptor, so supervised practice survives an absence. |
| Active learners | 1 | Learners currently supported by this department. |
| Protected preceptor hours / week | 4 held vs 4 required now | The model assumes 4 protected preceptor hours per learner per week. Change that locally if your programme differs. |
| Clinical affiliate site | Not established | Where a learner needs exposure this department cannot provide, an affiliate site has to carry it. This records the local operational arrangement only. |
| Modalities this site cannot train locally | cEEG setup / maintenance independent | No verified independent practitioner here can expose a learner to these. They must be covered by an affiliate site or excluded from the local pathway. |
The next learner
Adding one learner costs roughly 21.4 productive hrs/week now (4 protected preceptor hrs plus the gap between a learner's output and a qualified technologist's) and returns about one independent practitioner later. A learner makes the next two quarters harder, not easier.
Future workforce benefit: One additional practitioner able to work independently in this department once employer verification is complete — durable local capability that does not leave when a contract ends.
Verified preceptors and trainable modalities are read from the department competency matrix (employer-verified stages only). Learner load = (active learners + 1) ÷ verified preceptors against a 2:1 planning ceiling. Protected hours required = learners × 4 hrs/week. Nothing is inferred from FTE, seniority, credential or Academy progress.
Operational readiness only. This is a local judgement about whether the department can support another learner well. It is not accreditation, not clinical-site approval, and it is not a statement of compliance or non-compliance with any accreditor, board or regulator.
Weekly demand
59.7 direct × 1.3 indirect
Net productive hours
4 hrs to precepting
Outpatient slots
22.1 demanded
Annual labour cost
18 callback hrs/month
Binding constraint
Constraints are ranked by severity. The engine distinguishes deployment, rooms, equipment, preceptor capacity, competency mix, vacancy, after-hours demand and a genuine FTE deficit.
PROVISIONAL — this rests on NeuroOps planning defaults, not measured local work. Binding constraint is schedule deployment. Added staffing is NOT indicated by this model; redeploy the existing schedule — stagger starts, protect an outpatient block, move urgent/inpatient work to a defined band. no added fte indicated by this model. 1 finding(s) supported, 0 provisional, 5 awaiting input. Intervention conclusions withheld (Two-week protected-time and booking trial; Second room / added physical capacity; Prescribe an exact FTE increase; Shift-model choice (10-hour / 12-hour / weekend blocks)), each with the smallest next data that would resolve it.
Schedule deployment
criticalTotal staffed hours already cover total demand (83 available vs 77.6 required), but only 19.5 protected outpatient hours survive a 35% interruption rate.
Lever: Redeploy the existing schedule — stagger starts, protect an outpatient block, move urgent/inpatient work to a defined band. No added FTE indicated by this model.
protected OP hours × (1 − interruption rate) ÷ slot minutes
No independent ceeg setup / maintenance independent
criticalNobody in the department competency matrix is employer-verified independent for cEEG setup / maintenance independent. Missing verified competency: all required elements.
Lever: Do not schedule this service on an unverified practitioner. Advance a named technologist through supervised practice and employer verification for: cEEG setup / maintenance independent.
Counted people employer-verified independent, in date as of 2026-09-20, and available, in ALL of: cEEG hook-up in ICU, ICU environment and safety. 13 record(s) were not counted: A. Solano — Stage is below employer-verified independence; J. Whitaker — Stage is below employer-verified independence; R. Okonkwo — Stage is below employer-verified independence; M. Delgado — Stage is below employer-verified independence; T. Ferris — Stage is below employer-verified independence; S. Achterberg — Stage is below employer-verified independence; K. Boateng — Stage is below employer-verified independence; D. Reyes — Stage is below employer-verified independence.
After-hours sustainability
watch9 callbacks/month at a 2-hour minimum = 18 paid hrs/month, roughly 6 hrs per eligible technologist on a 1-in-3 rotation. A 1-in-3 rotation means each eligible technologist carries off-hours availability every 3 week(s); repeated night callbacks consume the following day whether or not the roster says so.
Lever: Widen the rotation, qualify more technologists to take call, or convert part of the burden into a scheduled off-hours block. This is a fatigue and retention exposure, not a weekly-hours shortfall — added FTE only helps if the new people are call-eligible.
callbacks × callback minimum hours ÷ call-eligible technologists, against rotation width
Weekly demand by stream
Indirect time included. Streams appear only for selected services.
| Stream | Hrs / week | Share |
|---|---|---|
| Routine outpatient | 35.9 | 46% |
| Inpatient / portable | 15.3 | 20% |
| Ambulatory setup and disconnect | 7.3 | 9% |
| STAT / urgent | 4.5 | 6% |
| cEEG setup and maintenance | 11.2 | 14% |
| Second technologist on adaptive cases | 3.4 | 4% |
Task time and workforce calibration
How long the work actually takes here. NeuroOps ships planning defaults as starting assumptions only — they are not benchmarks, industry standards or expected productivity. Local observed medians always supersede them.
Every task time in this model is a NeuroOps planning default. These are starting assumptions, not benchmarks — local validation recommended before any staffing or budget decision.
| Work type | Source in use | Base | Local friction | Workforce | Effective | Planning default |
|---|---|---|---|---|---|---|
| Routine outpatient EEG | NeuroOps planning defaultLocal validation recommended | 75 min | — | neutral | 75 min | 75 min |
| Inpatient / portable EEG | NeuroOps planning defaultLocal validation recommended | 90 min | — | neutral | 90 min | 90 min |
| Ambulatory setup | NeuroOps planning defaultLocal validation recommended | 60 min | — | neutral | 60 min | 60 min |
| Ambulatory disconnect | NeuroOps planning defaultLocal validation recommended | 45 min | — | neutral | 45 min | 45 min |
| STAT / urgent EEG | NeuroOps planning defaultLocal validation recommended | 90 min | — | neutral | 90 min | 90 min |
| Pediatric / adaptive EEG (per additional technologist) | NeuroOps planning defaultLocal validation recommended | 75 min | — | neutral | 75 min | 75 min |
| EMU / LTM setup and maintenance | NeuroOps planning defaultLocal validation recommended | 120 min | — | neutral | 120 min | 120 min |
| cEEG setup | NeuroOps planning defaultLocal validation recommended | 75 min | — | neutral | 75 min | 75 min |
| cEEG maintenance / monitoring per day | NeuroOps planning defaultLocal validation recommended | 45 min | — | neutral | 45 min | 45 min |
Which tasks routinely take longer here, and why
Routine outpatient EEG
NeuroOps planning default 75 min + 0 min friction + 0 min workforce adjustment = 75 effective minutes per unit.
No local workforce proficiency data supplied for this task — adjustment held at zero.
Starting assumption for a scheduled routine study in a lab room. Local validation recommended.
Inpatient / portable EEG
NeuroOps planning default 90 min + 0 min friction + 0 min workforce adjustment = 90 effective minutes per unit.
No local workforce proficiency data supplied for this task — adjustment held at zero.
Starting assumption for a bedside portable study excluding travel. Local validation recommended.
Ambulatory setup
NeuroOps planning default 60 min + 0 min friction + 0 min workforce adjustment = 60 effective minutes per unit.
No local workforce proficiency data supplied for this task — adjustment held at zero.
Starting assumption for application plus patient and carer instruction. Local validation recommended.
Ambulatory disconnect
NeuroOps planning default 45 min + 0 min friction + 0 min workforce adjustment = 45 effective minutes per unit.
No local workforce proficiency data supplied for this task — adjustment held at zero.
Starting assumption for disconnect, data handling and kit turnaround. Local validation recommended.
STAT / urgent EEG
NeuroOps planning default 90 min + 0 min friction + 0 min workforce adjustment = 90 effective minutes per unit.
No local workforce proficiency data supplied for this task — adjustment held at zero.
Starting assumption for an unscheduled urgent study. Local validation recommended.
Pediatric / adaptive EEG (per additional technologist)
NeuroOps planning default 75 min + 0 min friction + 0 min workforce adjustment = 75 effective minutes per unit.
No local workforce proficiency data supplied for this task — adjustment held at zero.
Starting assumption for each ADDITIONAL technologist on an adaptive case. Local validation recommended.
EMU / LTM setup and maintenance
NeuroOps planning default 120 min + 0 min friction + 0 min workforce adjustment = 120 effective minutes per unit.
No local workforce proficiency data supplied for this task — adjustment held at zero.
Starting assumption for EMU/LTM setup plus maintenance per study. Local validation recommended.
cEEG setup
NeuroOps planning default 75 min + 0 min friction + 0 min workforce adjustment = 75 effective minutes per unit.
No local workforce proficiency data supplied for this task — adjustment held at zero.
Starting assumption for a critical-care hook-up. Local validation recommended.
cEEG maintenance / monitoring per day
NeuroOps planning default 45 min + 0 min friction + 0 min workforce adjustment = 45 effective minutes per unit.
No local workforce proficiency data supplied for this task — adjustment held at zero.
Starting assumption for daily maintenance and monitoring workload per patient-day. Local validation recommended.
Operational proficiency describes how much local technologist time the work consumes. It is not a clinical authorization and never changes who may work independently — that stays in the department competency matrix. Where there is no local data, the adjustment is held at zero; NeuroOps publishes no seniority multiplier.
Verified capability behind this model
Read from employer-verified competency records only. Academy didactic or simulated completion is never treated as clinical independence, and capability is never inferred from FTE.
Source: Department competency matrix (demo organisation) — 8 practitioner record(s).
| Capability | Verified independent | Who | Gap |
|---|---|---|---|
| Routine EEG independent | 6 | A. Solano, J. Whitaker, M. Delgado, T. Ferris, S. Achterberg, D. Reyes | — |
| Pediatric / adaptive independent | 3 | A. Solano, S. Achterberg, D. Reyes | — |
| Ambulatory independent | 4 | A. Solano, R. Okonkwo, S. Achterberg, D. Reyes | — |
| LTM / EMU independent | 3 | A. Solano, S. Achterberg, D. Reyes | — |
| cEEG setup / maintenance independent | 0 | — | No independent coverage — missing: |
| cEEG monitoring workflow independent | 3 | A. Solano, S. Achterberg, D. Reyes | — |
| Preceptor-capable | 2 | A. Solano, D. Reyes | — |
Coverage concurrency across the week
No coverage bands supplied for this department.
NEEDS INPUT — weekly coverage bands (day, start/end, scheduled competent technologists, protected outpatient hours, expected interruption) have not been supplied for this model, so band-level conclusions are not shown. Load archetype 8 to see the analysis on synthetic bands.
How every output is calculated
Inputs, formula, result and assumptions for each material number.
Weekly technologist demand hours
77.6 hrs/weekNet productive hours available
83 hrs/weekDeployable outpatient slots per week
11.1 slots/week vs 22.1 demandedCallback burden
18 paid hrs/monthAnnual labour cost trace
$241,280Effective task time per unit of work
59.7 direct hrs/week × 1.3 indirect = 77.6 tech-hrs/weekVerified independent capability
8 practitioner record(s) read from Department competency matrix (demo organisation)Training capacity and the cost of the next learner
NEEDS INPUT — Training capacity cannot be judged. Not supplied: clinical affiliate status. Nothing has been assumed in their place.No PHI, no patient-level data
This platform holds aggregate operational counts, workforce records and competency attestations. It has no patient fields, no patient-level logs and no case records, and makes no compliance-certification claim.