6:45 am

Join us for a 45-minute vinyasa flow sequence designed to energize and awaken the body and mind. The class is built for every level, from beginners to practiced yogis, to create a blissful balance between ease and effort.

8:00 am
Hosted By:
8:30 am
8:40 am

Health care is about more than physical well-being. How can we capture the interplay of the physical, social, emotional, and spiritual person to get at cura personalis — Latin for ‘care for the entire person.’

Join Heather Abbott, who lived through the patient experience in suffering the amputation of her left leg after the Boston Marathon bombing, as she discusses the importance of caring for the person behind the patient.

Heather Abbott
Heather Abbott
Patient, Survivor, and Amputee
Boston Marathon Bombing

9:15 am

Without effective data governance, data is unusable. Learn how to systematize and define data to improve the quality and actionability of your information.

  • Find and understand data variances to create granular, actionable information
  • Integrate organizational teams to strengthen the use of patient-supplied data
  • Leverage best practices from large scale datasets to uncover predictive opportunities and applications
  • Improve the quality of your data classifications to pinpoint cost effective interventions for niche patient populations
Paul Clark
Paul Clark
Director, Healthcare Research
Digital Reasoning

9:50 am

Infrastructure is a critical component of analytics strategy: without the pathways to convert information into usable prescriptions, there is little financial, operational, or clinical value in predictive models. Learn how to optimize design within your unique organizational circumstances.

  • Simplify clinical data sharing to improve interpretability and consequent utility
  • Work toward total population review by acquiring full pictures, rather than samples, of clearinghouse and vendor data
  • Interface with electronic health records to improve the quality of your infrastructure
  • Consolidate systems to get more meaningful information from a single pool of data
Nancye R. Feistritzer
Nancye R. Feistritzer, DNP, RN, NEA-BC
Vice President Patient Care Services and Chief Nursing Officer
Emory University Hospital

Bill Gillis
Bill Gillis
Chief Information Officer
Beth Israel Deaconess Care Organization

Vasee Sivasegaran
Vasee Sivasegaran
Corporate Director of IS Infrastructure
Penn Medicine


Paul Clark
Paul Clark
Director, Healthcare Research
Digital Reasoning

10:50 am

Join us for a special Boston Tea (and coffee) Party break, resplendent with plenty of scones and networking. Colonist regalia not included

Hosted By:
11:20 am

Informatics can never replace human intervention. We should instead rely on analytics as an empowering tool rather than a substitution of expertise. Apply prescriptive analytics to provide a means for clinical staff to use critical data and real-time information to improve flow without compromising quality.

  • Use analytics to identify bottlenecks to efficient patient flow
  • Apply data decision support tools to redesign care transitions planning
  • Hardwire process revisions by incorporation of standard work
Lauren Ford
Lauren Ford, FACHE
Operations Manager, Patient Flow Center
Emory University Hospital

Chad Ritenour
Chad Ritenour, MD
Chief Medical Officer
Emory University Hospital

11:50 am

Mining data is a time intensive process that can be streamlined with the help of artificial intelligence, specifically, through natural language processing (NLP). Learn how Geisinger used NLP on clinical radiology notes and health records to isolate risk factors for lung cancer, finding thousands of patients needing follow-up care with a validated accuracy of 90%.

  • Incorporate NLP into analytics strategy to capture a more robust patient history and projected outcomes
  • Manage high volumes of data in a timely manner to increase chances of survival in patients with undiagnosed lung cancer
  • Improve lung cancer-related patient outcomes through care coordination post recognition
Bipin Karunakaran
Bipin Karunakaran
Vice President, Data

12:20 pm

In the current consumer-driven health care environment, it is critical for health systems and health plans to better understand the people they are serving so that they can build their business strategies around them. By developing a comprehensive data strategy that includes insights surrounding the social determinants of health (SDoH) of your patients/members, you can enhance engagement, close gaps in care, and improve outcomes. For your organization, this leads to more informed decision-making, increased market share and growth, and improved health of the communities you serve.

  • Learn how to develop a consumer-centric data strategy for your organization
  • Create a “window” into your population of patients/members by combining multiple data sources in real time to optimize engagement to better focus efforts and interventions that will improve outcomes
  • Use data to predict individuals’ willingness to close gaps, and save your organization money by making outreach more effective
  • Discover the benefits of using SDoH data as part of a cohesive data strategy through a variety of use case examples
Kurt Waltenbaugh
Kurt Waltenbaugh
Chief Executive Officer
Carrot Health

1:35 pm

To achieve the most effective use of your predictive analytics capabilities, organizations must ensure thorough data collection and integration into workflows across all departments and teams.

  • Create teams to assess and refocus data efforts, ensuring a constant commitment to improve trends
  • Maximize analytics ROI by ensuring applicable solutions through cross-functional leadership and expertise
  • Use diverse perspectives to troubleshoot analytics challenges and mistakes as well as refocus data efforts
David Chou
David Chou
Vice President, Chief Information and Digital Officer
Children's Mercy Hospital

2:05 pm

Through capturing the large volume of data contained within the EHR, algorithms that integrate objective criteria, event/outcome statistics, and clinical intuition can be developed for application at point of care. They can provide critical insights such as patient risk stratification for hospital admission, readmission, and short-term prognostication that can augment physicians’ assessment of cases and change the course of outcomes. Integrating analytic algorithms into clinical workflows offers the opportunity to inform provider decisions, optimize operations, and manage populations.

  • Identify patient needs to avoid medical emergencies and ensure treatment compliance
  • Determine at-risk patients in specific enough ways to help those populations improve health outcomes
  • Utilize clinical pathways and risk stratification to provide direct support and care coordination to clinical teams
Aymen Elfiky
Aymen Elfiky, MD, MSc, MBA
Attending Physician, Dana-Farber Cancer Institute, Brigham and Women’s Hospital;
Instructor, Harvard Medical School