Cohere Med
  • Home
  • Solutions
    • Sepsis Watch
    • Mortality Model
    • Cardiac Decomp
  • About
  • Contact

IMPROVE HEALTH THROUGH AUGMENTED CLINICAL DECISION ANALYTICS

Using data science to optimize clinical outcomes

data science enabled Clinical DECISION support analytics

Achieve the best clinical outcome through augmented care decisions (1) from the time a patient is admitted for acute care, (2) through her stay and (3) eventual discharge.

Our growing list of solutions (as it stands today):

  • Sepsis Watch: Reimagine how data and technology quickly & accurately detect sepsis allowing timely delivery of care while reducing variability of outcome
  • Mortality Model: Accurately predict in-hospital mortality. Improve early clinical decisions at time of admission or during patient stay to affect outcomes. 
  • Cardiac Decompensation: Early Identification of high-risk cardiac decompensation phenotypes via real-time EHR Data
Sepsis watch
Mortality Model
Cardiac Decompensation

Why Cohere Med?

“My current protocols work. Why should I change anything?” or “I just installed a new system.”

Whether you use rule-based alerts built into EHRs (Epic etc.) or other analytics, the critical questions are:

“Is there room to improve clinical performance?” 

AND

“Do financial PLUS clinical benefits substantially outweigh new system/training costs?” 

Built by Duke Institute for Health Innovation as part of their ongoing drive to improve population health, our analytics are successfully delivering care since late 2019 in Duke (multiple hospitals in their system) and other installations.

Observed benefits are:

Increased bundle compliance

Lower average length of stay

Lower mortality

Improved clinical outcomes translate to direct financial gains 

What differentiates patient care analytics?

Traditional analytics

Cohere Med analytics

      • Generic rule-based alerts; use limited set of clinical parameters available at any given time
        • Known to generate false positives that lead to “alarm fatigue” which is leading cause of mis-diagnosis or delayed treatment



    • Designed with inputs from clinical teams for specific clinical settings that each model applies to
    • Risk, at any given time, calculated using time-series of clinical data available since patient’s admission; this takes patient’s progression into account
      • Actionable insights created from a database of millions of clinical parameters of over 42,000 patients at Duke resulting in true evidence based medicine
      • Operational for over two years at Duke with accuracy consistently greater than 90% while reducing variation in clinical outcomes

Full technical discussion of why our analytics stand out is here.

(Sneak peek of the technical discussion: Apart from high-quality patient data, the robust computationally intensive machine learning model development and validation is one of a kind. It would be difficult to achieve without the significant resources of Duke University.)

Cohere Med in the News

  • November 9, 2020: Cohere-Med Spins Out Suite Of Ai-based Predictive Analytics
  • October 2, 2020: AI Can Help Patients—but Only If Doctors Understand It Algorithms Can Help Diagnose A Growing Ran
  • July 3, 2019: “Deep Sepsis” Licensed To Cohere Med

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

Contact Us

Contact

Cohere Med Inc.
571 Euclid Ave
Berkeley, CA 94708
Email contact@cohere-med.com

Connect

© 2023 Cohere Med Powered by Jottful