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The Simple Solution Infusion Centers are Adopting to Solve Common Scheduling Challenges
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"The Simple Solution Infusion Centers are Adopting to Solve Common Scheduling Challenges"

How algorithms, machine learning and predictive analytics have enabled hundreds of infusion centers to increase patient access, reduce wait times, reduce overtime hours and boost nurse satisfaction.

Scheduling problems are rampant at most infusion centers, with long patient wait times, midday peaks and over burdened nurses. While EHRs are great as a single source of truth for all patient-related information, they won't solve common capacity constraints.

However, these challenges have an uncomplicated solution. 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 boost nurse satisfaction.

During on-demand webcast, clinical oncology leaders from Hartford Healthcare share how they applied 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


Offered Free by: LeanTaaS
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