Today physicians are well skilled
and make efforts to stay current with the latest studies and practices.
However, it is not expected for them to memorize each individual patient’s
records. But in today’s technology era, this can be made possible with clinical predictive analytics. Healthcare
providers have the predictions at their fingertips, which help them make
appropriate decisions and deliver better care.
The comprehensive care for joint replacement model helps support
effective and efficient care for patients who undergo the most frequent
inpatient surgeries such as hip and knee replacements. This model examines
bundled payments and aspect measurements for an episode of care related with
hip and knee replacements to motivate hospitals, physicians, and post-acute
care providers to work in sync to improve the quality of treatment.
A hospital readmission is an
episode when a patient who been discharged from the hospital gets admitted
again in a specified time interval (e.g. 30-day
readmissions). CJR readmissions refer
to the patients who have undergone the CJR surgeries and get readmitted to the
hospital within a specific time interval.
Jvion’s artificial intelligence predictive
analytic solution uses deep machine learning and clinical data to deliver the
most advanced and accurate CJR readmissions predictions. RevEgis helps
providers improve care quality, drive down cost, and meet the demands of
value-based models of care.
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