Avoidable emergency room (ER) visits are a
critical component of population health management. Frequent and avoidable ER
visits are very costly, especially when the same care could be available in a
less expensive and non-emergency setting.
Around 30% of ER visits fall into the category of “frequent fliers”
and represent the patients with manageable chronic conditions. Such individuals
may visit the hospitals more than 10 times a year. In fact about 80% of all
healthcare costs merely spent on just one-fifth of the population. The improper
use of ER services is a major source of waste in a healthcare system.
Solutions like Jvion’s RevEgis help hospitals predict ER visits and
better administer ER costs based on:
30-day ER predictions
30-day inpatient predictions
High-utilizer/"frequent flier"
predictions
Unreimbursed ER care predictions and
forecasts
ER high
utilizers : At a glance
ER high utilizers are typically the people of
modest means and poor health who go in and out of emergency rooms day after
day. The root of their health
issues is rarely resolved incurring ever-growing cost to hospitals,
municipalities and taxpayers.
Such people suffer immensely from chronic conditions and live an area with
restricted access to outpatient care facilities. Emergency departments become
the primary provider for many who are not able to access or lack the resources
required to secure primary healthcare.
Clinical
Analytics : Need of the hour
In the present scenario, hospitals and other healthcare organizations understand
the need of real time healthcare analytics. Real time predictive analytics
use medical data to help healthcare providers make informed decisions; thus
reducing patient suffering and loss of resources.
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