From Ambulance as Mode of Arrival to Accurate Status
ESO Prehospital Intelligence™
From Ambulance as Mode of Arrival to Accurate Status
Roughly 70% of unscheduled hospital admissions arrive through the emergency department (ED), and emergency medical services (EMS) transports account for 55-65% of total hospital inpatient volume – making ambulance arrivals the largest source of hospital inpatient volume. Yet the prehospital data that could support faster, more defensible inpatient or observation decisions are often unavailable to ED physicians, case managers, and utilization review (UR) staff when it matters most.
This whitepaper looks at how discrete EMS data supports accurate and well-documented status determinations from the moment of first patient contact. It also explores how prehospital predictions can give your team early, structured data on acuity, admission likelihood, level of care, and length of stay before the patient arrives.
What you’ll learn
Status determination complexity
Why status determination – inpatient admission versus outpatient observation – is often clinically ambiguous, and how the CMS two-midnight policy and commercial payer rules add to that complexity.
The cost of status errors
At a conservative estimate of $4,500 per avoided downgrade, even a modest reduction in the error rate across a hospital’s EMS-derived admissions can represent millions of dollars in annual revenue.
Improved clinical documentation and coding accuracy
How complete prehospital data integrated into the electronic medical record (EMR) supports more accurate physician documentation of diagnoses, comorbidities, and clinical complexity, driving coding accuracy and DRG assignment.
Complete prehospital data integrated into the EMR carry real financial and operational weight beyond the paperwork. Uncertainty in status designation also contributes to ED boarding, bed request delays, and inefficient patient flow.
The whitepaper details how ESO Prehospital Intelligence makes a different approach possible. It gives your team early, structured data on acuity, admission likelihood, level of care, and length of stay before the patient ever arrives, drawing on structured prehospital patient data brought into the hospital record through ESO Health Data Exchange (HDE). Together, these give UR, case management, and ED physician teams what they need to build a contemporaneous, defensible review record before the ED evaluation is even complete.
Get the whitepaper
ESO Prehospital Intelligence
ESO Prehospital Intelligence connects real-time prehospital data and predictions directly to hospital workflows, enabling earlier operational decisions, reduced patient flow delays, and stronger EMS-hospital partnerships across the emergency care continuum.
To learn more, request a demo with one of our experts.
