Most infusion centers struggle with long patient wait times, mid-day peaks and over burdened nurses. They either accept it as a way of life or expect EHRs to solve their problems. EHRs are great as a single source of truth for all patient related information but solving capacity constraints is not their forte.

Applying mathematical algorithms, machine learning and predictive analytics has enabled hundreds of infusion centers to increase patient access, reduce wait times, reduce overtime hours and improve nurse satisfaction.

Watch this webinar recording to learn how to apply predictive analytics and machine learning to EHR data to help:

  • Level out high volumes
  • Manage variabilities and add-ons
  • Navigate the peaks of the COVID-19 waves
  • Improve the staff and patient experience

Ready to get started? Sign up now!

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Abbi Bruce RN, MS, OCN

Program Director, Medical Oncology and Infusion Services Hartford Healthcare Cancer Institute

Shannon Pindar RN,BSN,OCN

Nurse Manager, Medical Oncology, Infusion Services and the Innovation Unit at Hartford Hospital

Amanda DiBenedetto MSN,RN

Nurse Manager, Medical Oncology/Infusion, Avon Cancer Center, Hartford Healthcare Cancer Institute