Clinical Integration Track
Implementing successful clinical integration involves the facilitation and coordination of patient care across a variety of settings and situations. The goal is to achieve care that is safe, timely, effective, efficient, patient-focused and affordable. This track provides insights into improving clinical integration
strategies and aligning incentives with behaviors for success. Discussions cover a variety of timely clinical integration topics, including new delivery methods, using predictive analysis, and population health management.
Monday, September 9, 2019
1:00 PM - 2:15 PM
Grand Canyon 6

Moderator: Joseph Quinones, Supply Chain Executive

Presenter: Toni Benner, Lead Instructor, University of Michigan College of Engineering Division of Integrative Systems 

Lean healthcare chooses to eliminate anything that doesn’t add value to the patients’ experiences and to be a truly Lean organization, every group, from clinicians to supply chain to the c-suite needs to be onboard with the objectives and procedures required to be Lean. In this session, you’ll the learn latest practices in delivering high quality patient care by streamlining repetitive and low-touch aspects of care delivery. Discover solutions to reworking procedures and increase opportunities for improved patient care while operating your organization more efficiently.  

Learning Objectives:  

1) Distinguish how to improve patient experiences through improved Lean management practices. 

2) Evaluate solutions to improve your procedures to run a more efficient supply chain. 

3) Outline your plans to get everyone on-board to new Lean initiatives to deliver quality care and drive margin improvement. 


John Quinones
Supply Chain Executive
Toni Benner
Lead Instructor
University of Michigan College of Engineering Division of Integrative Systems 
Monday, September 9, 2019
2:30 PM - 3:45 PM
Grand Canyon 6
Moderator: Régine (Honoré) Villain, MPH, Chief Supply Chain Officer, Ochsner Health System
Panelists: Teresa Dail, Chief Supply Chain Officer, Vanderbilt University Medical Center; Nattie Leger, Assistant VP Supply Chain Nursing, Ochsner Health System; and Kelley Young, Director of Supply Chain Clinical Informatics, Trinity Health

Integrating supply chain data with clinical systems allows for increased collaboration between teams with the goal of improving patient outcomes and reducing waste. A successful clinically integrated supply chain will demonstrate collaboration across clinicians, supply chain and senior IDN leadership to improve product decisions by efficiently utilizing each party’s data along with supplier data. In addition to improved product selection and more efficient supply chain management an effective data integration program should seek to improve clinician satisfaction. In this session learn how three IDNs are incorporating clinical system and supplier data to improve integration between the supply chain and clinicians to improve patient outcomes. 

Learning Objectives:  

1) Define effective processes of integrating supply chain data with clinical systems to improve clinical outcomes. 

2) Outline the benefits of investing in clinical data analysis programs to improve decisions. 

3) Construct supplier data integration programs to improve integration between your supply chain, providers and suppliers to benefit patients and lower costs. 
Regine Honore Villain
System Vice President Supply Chain Network & Chief Supply Chain Officer
Ochsner Health System
Teresa Dali
Chief Supply Chain Officer
Vanderbilt University Medical Center
Nattie Leger
Asst VP Supply Chain Nursing
Ochsner Health System
Kelley Young
Director, Supply Chain Clinical Informatics
Trinity Health
Monday, September 9, 2019
4:00 PM - 5:15 PM
Grand Canyon 6

Moderator: Nick Gaich, CEO, Nick Gaich and Associates 

Presenters: Curtis Dudley, VP of Integrated Performance Solutions, Mercy Health and James Hutchinson, Senior Director Supply Chain Information System, Banner Health

Over the past few years more IDNs have been successfully utilizing predictive analytics to reduce healthcare delivery costs and improve: 1) the health of the populations they serve, 2) the patient experience and 3) worker satisfaction. Using predictive analytics, you should improve your KPIs, go deeper into your organizations data information and increase your filtering capabilities to better spot trends and set benchmarks for performance. This session will provide a framework to better utilize predictive analysis tools to strengthen your organizations ability to spot trends to improve public health and preventive medicine, provide more accurate diagnosis for the patient leading to increased patient satisfaction and using this data to cut down on healthcare costs. 

Learning Objectives:
1. Judge why more IDNs are using predictive analytics tools to reduce supply chain cost and improve performance of their IDN.
2. Identify areas within your IDN that predictive analytics can assist you in strengthening your organization.
3. Analyze trends using predictive analytics to improve the public health of your community to cut down on healthcare costs and increase life expectancies.


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Nick Gaich
Nick Gaich and Associates
Curtis Dudley 
VP, Integrated Performance Solutions
John Hutchinson
Senior Director, Supply Chain Information System 
Banner Health