San Francisco, CA
May 15-16, 2017


8:30am - 9:00am
Breakfast and Badge Pick-up
Grand Ballroom

9:00am - 9:05am
Opening Remarks
Grand Ballroom

9:05am - 10:05am


Hype and Disappointment on the Road to Healthcare’s Promised Land
Grand Ballroom

After decades of lagging behind other industries in the use of data, healthcare is poised for its own data-driven transformation. Journalists describe a not-too-distant future where patients, phones, Fitbits, and physicians march hand-in-hand toward a healthier tomorrow.   

But not everyone is jumping for joy.

Some healthcare organizations are so frustrated with the state of health IT that the American Medical Association’s CEO James Madara, MD, recently called digital health the “snake oil of the early 21st century.” Rather than improving care and boosting professional satisfaction, many digital tools, he wrote, don’t work that well, and actually impede care, confuse patients, and waste everyone’s time.  

Why, in the face of so much promise, has ‘data’ become a four letter word?  

In his keynote, Harvard Medical School professor Leonard D’Avolio, who previously lead informatics at the VA, addresses this question head on.

Dismissing this digital frustration as sour grapes from slow adopters will only delay progress, D’Avolio says, and cost billions in wasteful spending and hundreds of thousands of preventable injuries and deaths. 

As D’Avolio will explain, if healthcare is ever going to reach the digital promised land, it must first take a careful look at the very real barriers, some of which are self-imposed, and then do what’s necessary so that data can assume its rightful place as a hugely valuable resource for healthcare.

Assistant Professor
Harvard Medical School, Brigham and Women's Hospital

10:05am - 10:45am

Leadership Panel

State of the Industry: Big Data & Healthcare Analytics
Grand Ballroom

The U.S health care systems broad adoption of EHRs has dramatically increased the quantity of clinical data available electronically. Simultaneously, rapid progress has been made in clinical analytics—techniques for analyzing large quantities of data and gleaning new insights from that analysis. This is all part of the big data “revolution.” As a result, there are unprecedented opportunities to use big data to reduce the costs of health care in the United States.

But what exactly are those opportunities, and how are big data and analytics changing the delivery of care as we know it?

In this opening leadership discussion, our distinguished panel of healthcare data experts discuss the insights likely to emerge from clinical analytics, the types of data needed to obtain such insights, and the infrastructure—analytics, algorithms, registries, assessment scores, monitoring devices, and so forth—that organizations will need to perform the necessary analyses and to implement changes that will improve care while reducing costs

Vice President & Chief Health Information Officer
Sutter Health
Medical Director of Health Analytics
Dignity Health
Chairperson, Innovation Committee
Assistant Professor
Harvard Medical School, Brigham and Women's Hospital

10:45am - 11:15am
Networking Break
Grand Ballroom

Take this opportunity to mingle with your peers in a relaxed setting to build relationships and establish future partnerships. Coffee will be served and make sure to stop by our sponsor tables.

11:15am - 12:00pm

CFO Perspective

What does ROI Look Like? Better Performance, Improved Care
Grand Ballroom

The MetroHealth System became the first public, essential health system ever with the Epic EHR to achieve Stage 7 in the HIMSS electronic medical record adoption model (EMRAM) in both its inpatient hospital and all of its ambulatory clinics.

Not staying static though, MetroHealth recognized the need to leverage its investments in analytics and technology to improve the quality of care and financial outcomes by forming a new department known as DORA - the Department of Operational Research and Analytics. DORA is about finding new ideas in data and becoming a best-in-class user of data. It has begun to enable MetroHealth to progress from data to information to knowledge to wisdom. MetroHealth’s Department of Operational Research and Analytics (DORA) has introduced new technologies to help administrators and clinicians better understand the forces that drive their business. The data gleaned from this intelligence is being used to implement changes that aid in better overall operations.

Key takeaways:

  • How to use data to engage physicians in harnessing opportunities for cost reduction, care variation and practice standardization.
  • How to use data and analytics to manage total cost of care and outcomes for defined patient populations.
  • Accelerate performance improvements using analytics based on the fundamentals of quality, efficiency and cost effectiveness.
Senior Vice President and Chief Financial Officer

12:00pm - 12:30pm

A Playbook for Action

Using Analytics to Drive Value-Based Care
Grand Ballroom

Creating and deploying powerful information through technology and analytics is essential in the journey to value-based care. Yet, ensuring an organization has the right supporting tools, processes, technology, people, organizational structure, critical source systems and advanced analytics capabilities to support value-based care is no easy task; it also requires leadership adoption, readiness, accountability, incentive alignment, and a data-driven decision making culture.
This session will highlight one organization’s applied analytics journey as they developed a scalable, effective, and efficient analytics roadmap for a multi-hospital’s analytics programs, development of a data governance model and moving to value-based care. This will include experiences from the Medicare capitated model in the Maryland reimbursement market.
Key takeaways:

  • Describe key attributes of an applied analytics assessment framework to assess current-state & build an actionable roadmap.
  • Understand the importance of engaging leadership across strategy, PI & quality to advance analytics & meet reimbursement demands.
  • Apply the best practices, approaches & lessons learned to assess one’s own environment & build an analytics roadmap.
SVP & CIO, Information Services
LifeBridge Health

12:30pm - 1:30pm
Networking Luncheon
Grand Ballroom

Take this opportunity to mingle with your peers in a relaxed setting to build relationships and establish future partnerships. Coffee will be served in the exhibit area so make sure to stop by our sponsor tables.

1:30pm - 2:10pm

Afternoon Keynote

Prescribing Leadership in Healthcare
Grand Ballroom

A recent study by the Healthcare Center for Excellence revealed that lack of leadership was the greatest challenge to implementing healthcare analytics and now more than ever, we need leaders who are well-versed in all aspects of leadership. Unfortunately, the skills that made healthcare leaders successful in the past may not be enough to be successful in the future. Managing change requires a very special set of skills.

What is billed as leadership skill development today is usually missing key components that could limit the leader’s effectiveness. This presentation will examine why most current leadership development models fail and what is needed to create “professional” leaders. It will explain why leadership is a process that must be prescribed like a maintenance drug and practiced every day using the same approach taken by professional athletes worldwide for decades.

Key Takeaways:

  • How to apply the situational model of leadership to healthcare.
  • The steps any leader or potential leader can take today to improve their leadership tomorrow.
  • How to apply the proprietary five-step approach to the individual’s professional leadership development.
Executive Director
Healthcare Center of Excellence

2:10pm - 3:00pm

Post Acute Care

When Predictions Move Outside the Hospital
Grand Ballroom

The post-acute world is becoming fundamental to a hospital’s success in creating a patient-centered, longitudinal network of care. Like the rest of the industry, these organizations are under scrutiny to drive quality outcomes. And in a changing competitive landscape, skilled nursing facilities, home health, assisted living and long term care organizations are looking for ways to differentiate themselves, drive better care, and reduce the number of adverse events within their patient populations.
In this session, Terry Sullivan, MD, the chief medical officer for OnPointe, a large provider of post-acute care services, examines the roll that predictive and artificial intelligence driven solutions play in driving market differentiation and care quality for post-acute providers. Dr. Sullivan will examine the predictive use cases that best support quality goals and how AI applications can drive better investment and operational decisions to enable greater market share. We will also discuss the challenges with predictive analytic adoption within a market that is lagging in HIT adoption.


List the major changes that are impacting the post-acute provider segment including increased competition, mandates, payment models.

Discuss the key ways in which predictive analytics can drive value for post-acute providers in terms of competitive advantage.

Summarize the points along the post-acute care continuum where predictive analytics are most relevant and effective.

Chief Medical Information Officer

3:00pm - 3:30pm
Networking Break
Grand Ballroom


Take this opportunity to mingle with your peers in a relaxed setting to build relationships and establish future partnerships. Coffee will be served in the exhibit area so make sure to stop by our sponsor tables.

3:30pm - 4:00pm

Prescriptive Analytics

Going Beyond Predictive Analytics to Impact Care
Grand Ballroom

According to the Agency for Healthcare Research and Quality, nearly 1,000,000 patients in the U.S. fall in the hospital each year. The Joint Commission Center for Transforming Healthcare also indicates that patients who sustain an injury from a fall add 6.3 days to the hospital stay and cost around $14,000.

Fall prevention methodology is reactive in nature – most fall assessments lack patient context in real time. However, prescriptive analytics represents a true solution by enabling proactive care management based on key patient-centered factors– including historical falls data, fall risk assessment, and bed exit alarms.

Cheryl Reinking, CNO, will detail how El Camino Hospital, a 420-bed California hospital, transformed its fall prevention program and used prescriptive analytics to ensure patients were being proactively and optimally managed. Reinking will also explore the need to go beyond traditional “predictive analytics” into action-focused insights that allow providers to immediately respond and impact patient safety.

Through analytics, the care team was able to predict exactly which patients were at risk for an imminent fall, and alerted case managers of at-risk patients in real-time, which resulted in a 39% reduction in falls within 6 months. 

Key Takeaways:

  • Key problems with a “reactive” methodology for falls prevention.
  • The opportunity to implement prescriptive analytics in falls prevention.
  • Designing a falls prevention program that emphasizes data-validated, proactive management to boost outcomes and patient health.
Chief Nursing Officer
El Camino Hospital

4:00pm - 4:30pm

Featured Speaker

The Power of Non-Traditional Datasets
Grand Ballroom

As telehealth becomes a more predominant outreach strategy, the opportunity to impact outcomes from the patient-care and provider efficiency perspective, is immense. By understanding, geographically, where it is most important to deploy services and subsequently what service lines and providers would best serve that geography, organizations can drive interventions which lead to cost savings, improved outcomes and increased ROI on the telehealth infrastructure. Utilizing non-traditional datasets which provide insight at the census block-group level, affords telehealth program managers the ability to understand resource needs from a granular perspective and ultimately drive program outcomes.

Key Takeaways:

  • By using non-traditional datasets, as a complement to clinical data, healthcare professionals can understand the full picture of a patient population, not just the clinical encounters profile.
  • Co-morbidity and behavioral health data, at the census block-group level, allows for identification of program challenges and better planning of resources for telehealth initiatives.
  • A population’s engagement, communication and media preference data can improve effectiveness and efficiency of outreach and intervention strategies.
Chief Health Information Officer
University of Mississippi Medical Center

4:30pm - 5:00pm

Closing Keynote

Machine Learning – What Can It Do For Healthcare?
Grand Ballroom

There are two main approaches to machine learning – supervised and unsupervised – and each has specific applications in the context of healthcare. And even though their impact has not yet sent shockwaves through the industry, the potential of each is enormous.

At its basic level, machine learning involves looking at data, and from that data finding information that is not readily visible. Example: Applying machine learning to data about patients infected with Zika or another virus and using what we can learn about what happens to those people to inform care decisions regarding the best ways to treat people who get infected in the future. 

As healthcare entities continually ramp up their analytics and big data efforts and gird for precision medicine and population health, machine learning as well as artificial intelligence and cognitive computing are poised to become even more valuable.

Clinical Associate Professor
Stanford University School of Medicine

5:00pm - 5:05pm
Final Remarks
Grand Ballroom


5:05pm - 6:05pm
Networking Reception

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