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FACT: So far in 2018, a record-high 79% of U.S. hospitals have been penalized due to avoidable patient readmissions

REDUCE HOSPITAL READMISSIONS

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AAJ TECHNOLOGIES CONVENED A PANEL OF HEALTHCARE INDUSTRY BI AND ANALYTICS EXPERTS TO SHARE THEIR ADVICE. THIS EBOOK PROVIDES MAJOR INSIGHTS FROM THAT PANEL.

What’s included?

PART 1 – Michele Russell, CEO, Russell Consulting Group: Michele explores what you need to know before you begin implementing your readmissions reduction initiatives.

Key takeaways you can expect from Michele:

  • Navigating the concerns over HIPAA privacy and security along with risk mitigation regarding Big Data
  • Storage concerns – where will the data live? How do we address accessibility, speed, and redundancy?
  • In-sourcing vs Outsourcing pros and cons

PART 2 – Andrew Satz, Co-Founder, Data Scientist, and Futurist, Metrix Labs. Andrew shares detailed information on how data analytics can be used to predict when a patient will readmit.

Topics (and examples) include:

  • How data can be used to segment the patient population into groups
  • How to use outcomes to predict which patients are more likely to readmit
  • Examples of how we can use data science to determine what keeps patients from readmitting

PART 3 – Kevin Oppenheimer, Principal/Owner KGO Consulting Group

Kevin presents:

  • Forecasting 30-day hospital readmissions on a proactive basis
  • How to build a dashboard that will help you forecast healthcare outcomes

PART 4 – Ed Kirchmier, VP Global Delivery, AAJ Technologies

Case Study: A Care Transition System (CTS) to Reduce Hospital Readmissions

This case study illustrates How AAJ Technologies Created A Care Transition System (CTS) To Dramatically Reduce Hospital Readmissions.

AAJ’s solution addressed key care transition elements:

  • Medication management.
  • Physician follow-up.
  • Home & community-based services.
  • Disease education and self-management.

Also discussed will be the results of implementing this CTS: How in addition to reduced hospital readmissions, the client also saw increased patient satisfaction and reduced manual labor.

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