UC25: Bed Management "Traffic Controller"

The Problem

Bed bottlenecks are a leading cause of ED boarding and delayed admissions. A patient arrives at the ED with an acute MI requiring ICU admission, but no ICU bed is available because a post-op patient is still in the ICU pending step-down placement. Manual bed management relies on phone calls between units; admissions can be delayed 4 to 12 hours. Long ED waits worsen outcomes; cancelled surgeries disrupt the OR schedule.

What the Agent Does

Monitors ADT (Admit/Discharge/Transfer) data in real-time to track bed occupancy and discharge progress
Predicts bed availability 4 to 8 hours in advance based on clinical milestone data (e.g., post-op patient cleared for step-down)
Optimises incoming transfer acceptance: prioritises high-acuity patients (MI, stroke) for sooner discharge/step-down of lower-acuity patients
Coordinates with housekeeping to prioritise room turnover for high-demand bed types (ICU, ED overflow)
Alerts ED and bed management team when bottlenecks are imminent; suggests discharge or step-down actions
Generates bed utilisation reports: occupancy trends, turnover time, delayed admissions

Data Requirements

Data Sources:

ADT System (Epic, Cerner) , Real-time bed status, occupancy by unit, discharge times, transfer patterns
Clinical Milestone Tracking , Post-op milestones (extubation, pain control), step-down criteria, discharge-ready flags
Housekeeping Management System , Room turnover status, availability, priority queue
Surgical Schedule , Upcoming surgeries requiring ICU/bed allocation
Historical ADT Patterns , Typical discharge times by service, seasonal patterns

Data Classification:

ADT data: Sensitive, Internal, Structured
Clinical milestones: Sensitive, Internal, Structured
Housekeeping status: Internal, Structured
Surgical schedule: Internal, Structured

Data Quality Requirements:

ADT data: updated real-time (every 5 to 10 minutes during peak hours)
Clinical milestones: documented within 2 hours of achievement
Housekeeping status: updated as rooms are cleaned
Surgical schedule: final 48 hours confirmed; changes updated immediately

Integration Complexity: Medium

Real-time ADT feed (Epic HL7, Cerner FHIR or REST)
Clinical milestone detection: rule-based logic (extubation = ready for step-down) or EHR query
Housekeeping system integration (if available; may default to manual status)
Alerting system: SMS/pager to bed management team, Epic inbox

Score Breakdown

Criterion	Weight	Score (1-5)	Weighted
Time Recaptured	15%	5	0.75
Error Reduction	10%	5	0.50
Cost Avoidance	10%	4	0.40
Strategic Leverage	5%	4	0.20
Data Availability	15%	4	0.60
Process Clarity	15%	4	0.60
Ease of Implementation	10%	4	0.40
Fallback Available	10%	4	0.40
Audience (Int/Ext)	10%	4	0.40
Composite	100%		4.15

Why It Scores Well

Bed management directly improves hospital throughput and patient outcomes. A 5 to 10% reduction in ED boarding time improves outcomes for acute patients; cancelled surgery reduction reclaims $50K to $500K annually. The data is real-time and highly structured; outcomes are measurable (bed turnaround time, admission delays).

Regulatory Alignment

EMTALA: Patients cannot be transferred to relieve bed bottlenecks; medical stability must be ensured
Joint Commission: ED boarding times are tracked as a quality metric
State Hospital Licensure: Bed management is audited as part of operations compliance
CMS: Readmission rates are affected by discharge timing; premature discharge creates compliance risk

Sprint Factory Fit

Sprint 0 (2 weeks) + 3 build sprints (6 weeks)

Bed management is event-driven: every discharge/transfer/admission triggers re-evaluation of bed availability. The initial 2-week sprint focuses on real-time ADT monitoring and bed availability calculation; subsequent sprints add clinical milestone prediction, housekeeping integration, and alerting. This is a medium-complexity use case suitable for operations teams.

Comparable Implementations

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Governance Risks to Consider

Before deploying this use case, review these agentic AI risks from the Corvair Risk Catalogue. Each is scored on the DAMAGE framework and mapped to regulatory expectations.