Webinar: Solving scheduling challenges through predictive analytics and machine learning

Most health systems struggle with long patient wait times, mid-day peaks and overburdened nurses. 

By applying mathematical algorithms, machine learning and predictive analytics, health systems can solve common operational and scheduling challenges in clinical offices, thus increasing patient access, reducing wait times and overtime hours and improving nurse satisfaction.

During this webinar, you’ll hear from leaders at Hartford Healthcare about how they applied data analytics and machine learning to improve capacity and scheduling at its infusion centers.

Join this webinar and understand:

• How to apply predictive analytics and machine learning to your organization’s EHR to help with scheduling issues
• Insights about how to lead transformation in capacity management, resulting in notable improvements in operational and financial performance as well as better patient and staff experience
• How Hartford Healthcare was able to increase capacity by leveraging predictive analytics

Abbi Bruce, RN, MS, OCN 
Program Director, Medical Oncology and Infusion Services
Hartford Healthcare Cancer Institute

Shannon Pindar, RN, BSN, OCN
Nurse Manager of Medical Oncology, Infusion Services and the Innovation Unit
Hartford Hospital

Amanda DiBenedetto, MSN, RN
Nurse Manager of Medical Oncology/Infusion
Avon Cancer Center, Hartford Healthcare Cancer Institute

For more information on Modern Healthcare webcasts, visit ModernHealthcare.com/webinars or email [email protected]. The complete webinar FAQ is at http://www.modernhealthcare.com/webinarFAQ. 

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Re-Broadcast

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