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Perspective
5 mins read

Redesign healthcare access and throughput from intake to discharge

Industry

Healthcare & Life Sciences

Capabilities

Operational Excellence
Data & Analytics
Customer Experience

Signals of impact

  • Shorter wait times through clear constraints and daily management.

  • Higher throughput without unsafe compression of care.

  • More predictable performance via standard metrics and escalation.

How we help
Build a throughput model with clear KPIs, decision rights, and an operating cadence leaders can sustain.

Hospitals and health systems cannot meet demand with heroic effort. The path forward is to manage flow as a system, with daily governance that makes constraints visible, decisions fast, and performance predictable.

The question behind this piece

Most access problems show up as symptoms: ED boarding, delayed transfers, canceled electives, long length of stay, and frustrated staff. Leaders respond with extra effort, overtime, and one-off escalation calls. The underlying issue is that flow is not governed as a daily operating system. How do you redesign access and throughput so the system moves patients safely from intake to discharge, every day, under real constraints?

Why this matters now

Demand is persistent, staffing is constrained, and variability is higher. When capacity is tight, small disruptions cascade. A delayed discharge blocks a bed. A bed blocks an admission. Admissions back up in the ED. Ambulance offload slows. The system becomes reactive, and staff absorb the pain.

Old approaches fail because they treat throughput as a bed management problem or an ED problem. Flow is cross-functional. It is shaped by inpatient unit practices, consult response times, diagnostics, transport, environmental services, discharge planning, post-acute availability, and escalation behavior. When these are managed in silos, the system optimizes locally and fails globally.

If flow is not governed daily, the ED becomes the waiting room for the whole system.

Our perspective

Throughput improves when leaders run flow like an operational reliability program: make the pathway explicit, manage a small set of leading indicators, and run daily governance that forces decisions and follow-through.

Start by making the end-to-end pathway explicit. Build a shared view of the patient journey from intake to discharge, including ED intake, admission decision, bed assignment, inpatient progression, consults, diagnostics, therapy milestones, discharge readiness, and post-discharge placement. The goal is not a perfect map. The goal is a single version of the pathway leaders can manage.

Then separate structural constraints from execution constraints. Leaders often jump to structural answers: add beds, add staff, add units. Sometimes those are necessary, but they are rarely the first move. A practical throughput model distinguishes:

  • Structural constraints (bed mix, staffing model, post-acute capacity).
  • Execution constraints (discharge discipline, rounding variability, inconsistent escalation).
  • Visibility constraints (no reliable early-warning signals).

This prevents the system from defaulting to high-cost solutions when operational fixes can unlock capacity quickly.

Next, install a small KPI tree operators can run. Many hospitals have dozens of metrics. Few have a tight set that drives daily action. A practical throughput tree typically includes demand (arrivals, admission rate, acuity mix), flow (ED boarding, time-to-bed, consult and diagnostic turnaround), capacity (staffed beds, bed turnaround, transport constraints), discharge (expected discharges by noon, barriers by category, post-acute status), and safety guardrails that trigger escalation when compression increases risk. The KPI set must be standardized, visible, and defined consistently across units.

Clarify decision rights and escalation paths. Flow breaks when nobody is empowered to make cross-unit calls. A throughput operating model assigns decision rights for the moments that matter: bed assignment prioritization, discharge barrier removal, consult prioritization for flow-critical cases, and rapid deployment of EVS and transport. It also defines escalation triggers and who convenes when triggers are hit. This is not command-and-control. It is clarity and speed under pressure.

Run a daily cadence that matches operational reality. Throughput improves when the organization adopts a rhythm that forces early decisions: a morning flow huddle with a standard agenda, a midday check focused on discharge barriers and bed turnaround, and an afternoon look-ahead for next-day forecast, staffing, and surge risks. Each huddle ends with explicit actions, owners, and deadlines. Without follow-through discipline, the cadence becomes noise.

Finally, build safety guardrails into the design so speed does not become harm. Leaders should be explicit that throughput is not achieved by unsafe compression. Guardrails can include triggers for staffing thresholds, delayed-care signals, high-risk patient categories, and unit-level capacity constraints. The system should surface risk early and slow down when needed, not push harder blindly.

The goal is not faster care. The goal is smoother flow with safety protected by design.
Redesigning access and throughput from intake through discharge

How Strathen Group can help:

Strathen Group can convene a cross-functional team of advisors to lead a week-long exercise to surface the true constraints from intake to discharge and align on the few decisions that unlock flow. In this exercise, we produce a decision-grade throughput model: a shared pathway map, a tight KPI tree with standard definitions, and clear decision rights and escalation triggers. We also build the operating pack leaders can run: huddle agendas, action-owner routines, and a simple dashboard spec that makes risk visible early. Over the following 30 days, we co-run the cadence, refine thresholds based on real performance, and hand over the playbooks to your internal improvement team so the system sustains and scales.

Bhuvan Maingi

Managing Partner, Strathen Group

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