Road injuries, falls, and urinary diseases witnessed the highest levels of ED spending, accounting for 14.1% (CI, 13.1%-15.1%) of total ED spending in 2016. In terms of key groups, the majority of ED spending was allocated among females (versus males) and treat-and-release patients (versus those hospitalized) those between age 20–44 accounted for a plurality of ED spending. Nearly equal parts of ED spending in 2016 was paid by private payers (49.3% ) and public payers (46.9% ), with the remainder attributable to out-of-pocket spending (3.9% ). Overall ED spending was $79.2 billion (CI, $79.2 billion-$79.2 billion) in 2006 and grew to $136.6 billion (CI, $136.6 billion-$136.6 billion) in 2016, representing a population-adjusted annualized rate of change of 4.4% (CI, 4.4%-4.5%) as compared to total healthcare spending (1.4% ) during that same ten-year period. All spending estimates were adjusted for inflation and presented in 2016 U.S. to measure healthcare spending for ED care. Want to take an even deeper dive into how the ACG System can help classify your ED visit data? Read a case study from Israel’s Clalit Health Services here.This observational study utilized the National Emergency Department Sample, a nationally representative sample of hospital-based ED visits in the U.S. *RUB = Resource Utilization Band, a category of expected health (care need as defined by the ACG System (1 = low 5 = high) The result? Improved access to PCPs and lower unnecessary ED visits. Ultimately, when ACG System users understand causes and trends in ED use at this granular level, they can proactively target patients with potentially-avoidable visits and deploy interventions to reduce avoidable ED use. With each level of segmentation, the data filters into more and more precise groups, who can be targeted for specific interventions. The diagram below shows how the ACG System can segment a general set of data (avoidable ED visits) into its various, specific components. The ability to tailor a specific approach to a specific group of patients maximizes impact while meeting patient-specific care needs. Likewise, individuals with more complex needs, multiple chronic conditions, or care coordination challenges (RUB 4 or 5) can be directed to targeted preventive services and guidance from their PCP. ACG System users can identify and target relatively healthy patients (those with lower RUB* levels, for instance) with educational campaigns and incentives for PCP visits. ![]() The organization may wish to assess systemic access barriers as well, such as transportation challenges, PCP office hours/appointment availability, or prohibitively high co-pay for a PCP visit.Īnother impactable patient group are those visiting ED departments for non-emergent diagnoses. Patients with multiple ED visits for PCP-treatable diagnoses may benefit from outreach from their PCP, or assistance locating and working with a PCP if they do not have an existing relationship. With this information in hand, System users can develop an effective strategy to reduce ED use and associated health care costs.įollowing a detailed, ACG-driven analysis and plan, System users can use granular patient-level outputs to develop and deploy tactics to reduce potentially-avoidable ED visits. By drilling down into this data, ACG System users can understand root causes of ED use and segment patients into groups depending on their unique health care needs. If you read last week’s blog, you know that the ACG System can reveal specific trends in ED visits for a certain population, specifically, patients who visited for non-emergent care or primary care (PCP) treatable conditions. ![]() In our latest blog series, we’ll be taking a look at how the ACG System’s suite of tools can be used to understand emergency department (ED) visits and in turn, optimize health care utilization and reduce potential costs. Download The ACG System Software (Non-USA).2018 International Conference San Antonio.
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