Main Day One

9:00 AM - 9:15 AM CONFERENCE CHAIR’S WELCOME AND OPENING REMARKS




8:00 AM - 9:00 AM REGISTRATION AND MORNING JUMPSTART

9:15 AM - 10:00 AM KEYNOTE: ACCELERATE DELIVERING HEALTHCARE SOLUTIONS WITH ARTIFICIAL INTELLIGENCE & CLOUD

· Learn how Machine Learning and Artificial solutions are effectively tackling the challenges of today and tomorrow in healthcare
· Assess how to utilize ML and AI for better for handling data in the healthcare industry
· Identify opportunities while addressing all security and privacy requirements


10:00 AM - 10:45 AM KEYNOTE: A PHYSICIAN’S GUIDE TO HEALTHCARE IOT GALAXY: HOW CONNECTED HEALTH CAN SUCCEED AND WHERE TO USE IT

  • Update on the state of Healthcare IoT
  • Assess strategies and programs that can apply to the Healthcare IoT, while anticipating future trends, regulatory challenges and opportunities
  • Review new and potential applications that can be used for connecting health information to consumers for delivering quality patient care outside of traditional medical settings


10:45 AM - 11:30 AM MORNING BREAK AND DEMO DRIVE

12:15 PM - 1:00 PM HOW TO EFFECTIVELY USE ARTIFICIAL INTELLIGENCE TO REDUCE ADMINISTRATIVE BURDENS FOR HEALTHCARE PROVIDERS


  • Review current challenges physicians and nurses are facing with EHRs and utilize Intelligent Automation to reduce tasks of the administrative and diagnostic burdens, by increasing efficiency and restoring the balance between paperwork and people
  • Evaluate how IA supports utilization management, care coordination, case management, and reduce tasks such as patient scheduling and claims processing
  • Focus more on patient centricity by spending less time with paper/electronic tasks


1:00 PM - 2:00 PM NETWORKING LUNCHEON

2:00 PM - 2:45 PM PANEL: THE ROLE OF ARTIFICIAL INTELLIGENCE IN STRATEGIC FINANCE PLANNING


  • With an estimated 30 to 40 percent of medical bills containing errors, use next-generation automation tools to drive the next stage of financial transformation
  • Oversee how you can reduce costs and improve revenue cycle in your organization
  • Exploit the power of automation in reducing medical billing and coding errors, which can lead to losses amounting to thousands of dollars for both providers and patients.


2:45 PM - 3:30 PM NEXT-GENERATION PATIENT CONTACT CENTERS AND VIRTUAL ASSISTANTS – EMBRACE INTELLIGENT AUTOMATION TO REACH TO THE NEXT LEVEL OF PATIENT ENGAGEMENT

Walk trough a list of disruptive applications and technologies driven by cognitive computing and change the way we engage with patients
Explore where does the development of Chatbots, intelligent nursing assistants, artificial intelligence supported messaging apps and voice controlled bots stand at the moment
Hear innovative use cases and explore how you can implement similar solutions at your organization to reduce costs and improve patient experience


3:30 PM - 4:00 PM AFTERNOON RECHARGE - NETWORK OVER REFRESHMENTS

4:00 PM - 4:45 PM TOWNHALL DEBATE - TERMINATOR VS. HOUSE M.D. : IS INTELLIGENT AUTOMATION STREAMLINING HEALTHCARE OR REPLACING HUMANS?

Elon Musk and Mark Zuckerberg, two technology titans were in a recent verbal sparring match about the risks and rewards of artificial intelligence in healthcare and beyond. According to Mark Zuckerberg, AI provides limitless opportunities while Musk believes AI, with the potential to advance to the point where it spirals out of mere humans’ control, is the “biggest existential threat” we face, and a “fundamental risk to the existence of civilization.” Join this extremely entertaining and educative debate
and share your thoughts!

4:45 PM - 5:15 PM CLOSING GROUP DISCUSSION - DAY ONE REVIEW AND ASSESSMENT ROUNDTABLES

5:30 PM - 6:00 PM EVENING RECEPTION

11:30 AM - 12:15 PM KEYNOTE: THE ROLE OF BIG DATA AND INTELLIGENT AUTOMATION IN PERSONALIZATION OF

  • Navigate analytic tools that utilize the various kinds of big data in healthcare to help clinicians make more personalized, evidenced-based decisions
  • Understand the necessity of adopting cognitive computing resources to manage the challenges in the healthcare model of the future
  • Keep in mind that the analytic resources, themselves, do not drive, but support healthcare transformation