MACHINE LEARNING & AI FOR HEALTHCARE: A HIMSS EVENT

Boston, MA
Westin Copley Place
June 13-14, 2019

Srinivasan Suresh

Vice President, CIO & CMIO
UPMC Children’s Hospital of Pittsburgh

Srinivasan Suresh, MD, MBA, FAAP, joined UPMC Children’s Hospital of Pittsburg UPMC in September 2014.

As the chief medical information officer, Dr. Suresh provides leadership in the planning, development and implementation of strategic and tactical clinical information systems.  In July 2015, he also assumed the role of the chief information officer of CHP. He oversees the hospital’s electronic health record, data warehouse and advanced analytics initiatives. He continues to practice as a pediatric emergency medicine specialist.

As an IT physician champion, he is passionate in the application of business intelligence tools and advanced data analytics in improving child health, and patient and provider satisfaction. He has presented on these topics at national and international conferences, and authored papers on big data and predictive analytics. He is also focused on creating more robust clinical decision support tools in the electronic health record. He was instrumental in Children's Hospital of Pittsburgh winning the HIMSS-Davies award in 2015, and in renewing its Stage 7 HIMSS EMRAM certification in 2016.

June 13, 2019
2:15pm - 2:45pm
America Ballroom

In this case study, attendees will learn how UPMC Children's Hospital of Pittsburgh integrated actionable, self-services analytics into the broader framework of disease management, with appendicitis care as the prototype.

The results were impressive:  The median LOS dropped by 21%, yielding per-case cost savings of 11%. Based on this success and lessons learned, UPMC is now streamlining care for 30 pediatric conditions, and expanding the impact to positively affect 30% of its inpatients (20,000 annual discharges).

Key takeaways

  • Illustrate the critical nature of delivering actionable data in a timely, accurate and user-friendly manner.
  • Describe the emphasis placed on standardization of care, and on elimination of avoidable variances.
  • Explain the focus on data-driven observations to change physician behavior.

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