Cardiac Care
is Evolving.
Are You?

There is no longer the need to choose between time to understand data and speed to make decisions. AI and predictive analytics are helping to mold the future state of cardiac care.

Heart disease continues to be one of the leading causes of death in the United States, causing one in four deaths each year. This reality, coupled with an annual surgery growth for cardiac procedures of about 5% each year, necessitates the use of innovative technologies to effectively manage the impending growth in surgical volume.

Readers will learn how:

  • AI and predictive algorithms have helped advanced cardiac care
  • To make sense of a myriad of data streams from cardiac patients
  • Clinicians can eliminate the choice between time and data when making critical care decisions

Cue Artificial
Intelligence (AI).

This technology has been on the rise in healthcare. While it brings so many more insights into a patient’s condition, it almost seems like too much of a good thing.

A patient being monitored before surgery, during, and after surgery might be producing hundreds or even thousands of data points. The data sources could include, patient demographics, peripheral devices, lab results, invasive monitoring, and vital signs.

Making sense of these and how it relates to a patient’s condition can be overwhelming and time-consuming for a clinician.

In our latest blog, see how Etiometry’s software can aggregate the many data streams, taking it from disparate and disconnected data to data that can provide actionable insights.


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