Cardiac Decompensation

Early detection of high-risk Cardiac Decompensation Phenotypes via real- time EHR data

What is it?

• Identify digital phenotypes of decompensation using real-time EHR data at early stages of clinical deterioration
• Developed in 2019 by DIHI for:
  
  • in-patients admitted for cardiac and non-cardiac specific reasons
  • Address previously unanticipated ICU transfer or in-hospital mortality

What differentiates this tool?

• Unique approach to improve clinical outcomes by identifying early stages of cardiac decompensation.
• Rich training, validation data from Duke
  - 108,697 hospitalizations
• Live in Duke university health system.

Contact us to learn more

At no cost to you, we will show how our augmented clinical analytics will positively impact your clinical outcomes

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