May 23-24, 2018
Boston, USA

Day One
Wednesday, May 23, 2018

Day Two
Thursday, May 24, 2018

07.45
Registration

08.45
Chair’s Opening Remarks

  • John Mattison CMIO & Assistant Medical Director, Kaiser Permanente

09.00
Opening Panel Discussion: The Continuous Fight for Driving Innovation, Improving Patient Outcomes & Enhancing Operations in Healthcare With Better Insights – Learnings to Date & Perspectives on Future Directions

  • Leonard D’Avolio Assistant Professor, Brigham and Women’s Hospital & Harvard Medical School
  • Parsa Mirhaji Director, Center for Health Data Innovations, Montefiore Health System
  • Ron Ozminkowski VP of Cognitive & Analytics, IBM Watson Health
  • Valmeek Kudesia VP, Clinical Informatics & System Design, Commonwealth Care Alliance

Synopsis

  • Delving into the evolution of the healthcare analytics space over the past years – has data and information become the holy grail of healthcare organizations to drive practice, operations and patient experience?
  • Analyzing how external forces are transforming healthcare as we know it – from big tech companies increasingly pushing towards healthcare, to the hype around advances in machine learning (AI, deep learning, etc.)
  • What is the future holding for healthcare in this exponentially evolving analytics panorama?
  • How will/are these advanced capabilities being applied by each kind of organization (health plans, hospitals, etc)?
  • Are healthcare organizations ready to conceptualize strategies across the enterprise to adopt and prepare for these waves of inevitable disruption, which are no longer voluntary or optional?

Pushing the Insight Retrieved from Healthcare Analytics to the Next Level

09.45
AI in Healthcare: Making it Work

  • Leonard D’Avolio Assistant Professor, Brigham and Women’s Hospital & Harvard Medical School

Synopsis

• Healthcare approaches the challenges and opportunities of AI differently than other industries – these differences matter
• Assessing potential AI opportunities
• Planning and executing the implementation of AI in healthcare

10.15
Informatics & Machine-Learning for Complex Care at CCA

  • Valmeek Kudesia VP, Clinical Informatics & System Design, Commonwealth Care Alliance

Synopsis

• Understanding the needs of individuals with complex care needs
• Detailing on the application of machine-learning for person-level predictions and intervention for individuals with complex care needs
• Analyzing future directions

10.45
Speed Networking & Morning Refreshments

11.15
Improving Lives & Giving Hope by Delivering Innovation to Address the World’s Most Pressing Healthcare Challenges Through Data & Cognitive Insights

Synopsis

• Discussing how to keep track of or make sense of data – data are exploding … By 2020, the amount of data we create annually will reach 44 zettabytes. Big Data needs to be
refined in order to be useful
• Making decisions based on incomplete information – what price are we paying by doing this?
• Using cognitive computing / augmented intelligence (AI) to mine as much information from data as possible, often in an automated way
• Analyzing how secure data analytics done in the cloud allows as many forms of data as possible to be used, helping providers, payers, life sciences companies, patients, caregivers and policy makers to enhance quality of care, save money or spend it more appropriately, and extend or improve lives
• Discussing how AI aids humans, does not replace them – understanding the symbiotic relationship, that is especially true in healthcare

Beyond the Hype – Operationalizing Analytics in Healthcare

12.15
Governance, Ethics & Coordination of Analytic Projects Across the Enterprise

  • John Mattison CMIO & Assistant Medical Director, Kaiser Permanente

Synopsis

  • Getting started – how to overcome foundational challenges to complex analytics implementation in the healthcare setting
  • Healthcare information governance – supporting innovation in healthcare
  • Bringing the different exponential technologies together in a coordinated fashion

12.45
Lunch & Networking

13.45
Evidence Generation & Digital Transformation in Learning Healthcare Systems: A Case for Big-Data & Advanced Analytics

  • Parsa Mirhaji Director, Center for Health Data Innovations, Montefiore Health System

Synopsis

  • Enabling digital transformation at Montefiore Health System – adopting an enterprise-wide approach to integration of advanced analytics into the care delivery system
  • Introducing a novel big-data architecture (built on Graphs, IoT, and ML/AI/DL technologies)- in collaboration with Intel and Franz Inc, to support level 1 through 8 analytic maturity at Montefiore
  • Detailing on our Evidence Generation Framework designed for digital transformation in healthcare built around improving outcomes of care, patient and provider experience, and operational efficiency across the health system

14.15
Bringing Analytic Capabilities to Life – A Journey for the Patient

Synopsis

  • Detailing on ProMedica’s journey to build an efficient data and analytics infrastructure
  • Analyzing the evolving analytic capabilities at a time where these are a differentiator factor for quality of care
  • Maximizing value-based care and enhancing population health with better insights

14.45
Zero- to-90 Days to Making a Difference With Data Science

  • Michael Thompson Director of Enterprise Data Intelligence, Cedars-Sinai Health System

Synopsis

• Discussing how Cedars-Sinai accelerated their advanced analytics and data science capabilities in under 90 days with existing staff
• Analyzing the creation of an automated machine learning factory
• Automating this learning factory to identify the best algorithms for predicting expected bed census, expected hospital flow issues, and expected length of stay outliers (within 24 hours of admission)

15.15
Scoring for value – How to Leverage Advanced Analytics to Reduce Costs & Increase Value

Synopsis

  • Leveraging advanced analytics to manage a clinically integrated network
  • Exploring ways to use your own clinical data to help identify areas of high clinical variation and discover related cost-saving opportunities
  • Examining strategies to leverage the most meaningful sources of data to target clinical areas for redesign efforts
  • Defining a unique value proposition for attracting new patients, potentially improving overall cost and quality performance

15.45
Afternoon Refreshments & Networking

16.15
Unlocking Value & Insights from Your Digital Health Data & EMR Investment

  • William Paiva Executive Director – Health Systems Innovation, Oklahoma State University Center for Health Systems Innovation

Synopsis

• Overviewing how Oklahoma State University’s (OSU) Center for Health Systems Innovation’s (CHSI) is utilizing the largest digital clinical database representing clinical information from 63 million patients collected over 16 years through electronic medical record systems
• Sharing best practices for managing and analyzing digital health and clinical data base
• Profiling implemented projects, including the development of a clinical decision support algorithm for diagnosing, staging, and managing diabetic complications with data collected in a primary care setting, readmission reduction for hip fracture patients, and predictive models for opioid patients

16.45
Integration of Advanced AI Algorithms & Analytics with Blockchain

Synopsis

  • Defining blockchain and presenting use cases of blockchain technology in healthcare
  • Exploring the role of AI and advanced analytics in business processes running on blockchain
  • Delving into the blockchain-enabled new healthcare AI ecosystem: immediate response AI models; acceleration of data collection and availability; patients controlled data access

17.15
Panel Discussion: Overcoming the Biggest Challenges to Analytics Implementation & Adoption in the Healthcare Setting

  • Betsy McVay VP & Chief Analytics Officer, UnityPoint Health
  • Terri Thompson VP, Population Health, ProMedica Health System
  • William Paiva Executive Director – Health Systems Innovation, Oklahoma State University Center for Health Systems Innovation
  • Michael Thompson Director of Enterprise Data Intelligence, Cedars-Sinai Health System

Synopsis

• Reflecting one step down from all the hype – are people afraid to leverage analytic capabilities in day-to-day processes?
• Making it work – how do we truly operationalize analytics in healthcare?
• Tackling key infrastructure challenges still lingering, ranging from data access, to system integration and interoperability
• Implementing analytics into standard delivery of care and workflows
• Bridging the gap to adoption and overcoming internal organization barriers to leadership and teams’ understanding of the role of analytics in the current healthcare paradigm

18.00
Chair’s Closing Remarks

  • John Mattison CMIO & Assistant Medical Director, Kaiser Permanente