Using a palliative care algorithm for early identification of seriously ill patients

The importance of palliative care has been well established in medical literature and the last year-and-a-half shone a spotlight on the urgency to improve the quality of life for patients living with a serious illness and their family caregivers. Einstein Healthcare Network collaborated with Cerner to create a machine-learning algorithm that can help proactively identify and stratify patients living with a serious illness across the continuum of care. Learn more about Einstein Healthcare Network's palliative goals and how it's collaborating with Cerner to intervene on patients who will benefit from palliative care services.

  • Session Type:Client HIT talk
  • Learning objective 1:Describe how Einstein Healthcare Network will leverage the palliative care algorithm to identify patients with serious illnesses.
  • Learning objective 2:Discuss how Einstein Healthcare Network is approaching palliative care and its organizational goals.
  • Learning objective 3:Identify the benefits of using machine learning for early patient identification of palliative care services.
  • Content topics:Care Continuum
  • Solutions:Advancing care planning
  • Target audience:Care Management, Managed Care, Population Health Management
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