• Event Information

    With the advancement of artificial intelligence and machine learning in healthcare, it’s important to understand the workflow impact these technologies will have on your organization and how best to be prepared. This presentation will cover trends and predictions around AI and ML as well as the impact of a global pandemic. We’ll also discuss what physicians are thinking and the obstacles to adopting these technologies and how to assess your organization’s readiness in the journey toward AI adoption. 

    Learning Objectives:

    • Understand the current landscape of AI and ML in healthcare – trends, predictions, and perceptions.
    • Ability to define AI, ML, and big data and how these technologies are integrated into the clinical workflow.
    • Understand the role of change management when assessing your organization’s readiness to adopt these technologies. 

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    This focus group will gain intel on how organizations are prioritizing competing digital initiatives. We will discuss the challenges of who owns the digital experience and what digital really means from patient engagement to RPM to government regulations, and security.


    Speakers: 

    Julia Earley,

    Managing Director, Virtual Care Solutions,
    Tegria

    Rodina Bizri-Baryak,
    Director, Patient Access Center,
    Tegria

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    The underlying math of capacity management, matching supply with demand, is broken. Existing tools and processes need to be fundamentally revamped for health systems to overcome waves of COVID-19 and similar shocks in the future, to maximize use of their assets, creating value for patients and themselves. The key is creating a culture of innovation in the organization; deploying proven and scalable AI-driven, intelligent systems. Explore the how and why of this digital transformation around capacity management and improvements to operational and financial performance of hospitals, to deliver a better patient and staff experience. Learn how health systems, like UCHealth, are increasingly turning to data and predictive analytics tools to better manage the supply and demand relationship. Learning Objectives:
    • Explore the current challenges of capacity management - underlying math to match supply with demand - for health systems to maximize the use of assets to create value for patients and themselves. 
    • Learn how AI-driven, intelligent systems can optimize the matching of supply and demand - during both “crisis” and “normal” times, without the extensive capital and resources needed by a Command Center. 
    • Discover how UCHealth taps into knowledge from IT platforms to improve census predictions and real-time decisions about patient placement, staffing, surges and diversion prevention.  

    Speakers:

    Mohan Giridharadas, Founder & CEO, LeanTaaS

    Steven Hess, Chief Information Officer, UCHealth   

     

     

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    The past 18 to 24 months resurfaced the importance of having reliable and trustworthy data. The purpose of this focus group is to help us understand how HCOs are creating data analytics strategy for a post-pandemic future. We want to discuss how you are tackling data governance, advancing analytics maturity toward self-service data consumption and augmented intelligence, prioritizing against other opportunities, budgeting and allocating people, and gaining consensus to create change at your organization.


    Speaker Info

    Jacob Sinex, 
    Managing Director, Data Analytics Informatics, 
    Tegria

    John Frutiger
    Director, Client Service
    Tegria

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    As healthcare and the economy as a whole encounter the changing pandemic landscape (increasing vaccination population, contrast against new COVID variants), the requirements for remote and distributed capabilities are arguably higher than before the pandemic. Many executives had not expected to provide telehealth for many years yet were forced into this delivery model. In the meantime, additional concerns include prominent ransomware attacks, the supply-chain impact of the SolarWinds acquisitions, and identity management as capabilities, partnerships, and M&A’s evolve. This session will provide the opportunity for leading healthcare executives and experts from Atos to engage in an idea exchange around these “big impact” topics that cannot be adequately resolved without knowledge sharing between members in the healthcare and life sciences industry.


    Speaker Info

    Dan Schaupner
    Head of Cloud and Innovation – Global Digital Security Consulting
    Atos

    Allen Moffett
    Global IAM Practice Lead – Digital Security
    Atos





    Atos
    Atos
    Atos
    Atos

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    Through this session TRIMEDX would like to gain a more thorough understanding of health system pain points related to the safety and security of connected medical devices. Participants will discuss:
    1. How they are approaching, from an organizational perspective, the cybersecurity of their medical devices. What mix of technology, people and consultants are they using to solve this problem and who holds ownership for this solution?
    2. What are their challenges in implementing a solution?
    3. What gaps they are experiencing to ensure the safety of their medical devices?
    4. What is their current process for vulnerability detection and remediation and how do they track these efforts?
    5. How are they currently leveraging data to support their cybersecurity strategy?
    6. How are they measuring success of this strategy – do they evaluate return on risk avoidance model, health system reputation, etc.?
    7. What steps have they taken to get organizational support for this strategy?

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    Many healthcare organizations attempt to build their own surveys and Excel spreadsheets to complete risk analyses and undertake Cyber Risk Management. These home-grown solutions rarely scale, are not updated with ever-changing threats and vulnerabilities, and provide no way in which to implement and mature an ongoing risk management program. These spreadsheets usually combine regulatory requirements such as the HIPAA Security Rule or PCI DSS with a column designated to use for some level of risk. This checklist-based approach conducted via these spreadsheets typically do not create value, have not been found acceptable evidence of compliance in Office for Civil Rights enforcement actions, and, more importantly, have failed to help organizations become more secure.
    During this focus group, senior leaders from Clearwater will review how, unlike these checklists and spreadsheets, the company’s IRM|Analysis® software solution:
    1. Uses algorithms to group system components logically according to their unique properties,
    2. Enables an analyst to associate these components with one or more information systems for which they are utilized,
    3. Employs built-in algorithms to determine potential vulnerability and threat scenarios that should be considered,
    4. Automatically suggests which controls (e.g. based on NIST 800-53) are recommended to mitigate threats exploiting vulnerabilities in these specific scenarios,
    5. Provides a means to assess risk based on both the likelihood of an event (based on the controls in place or not in place), and the harm that would be caused (based on the importance of the information system or its data), and
    6. Leverages artificial intelligence and machine learning technology to draw upon the software’s vast pool of data to suggest how to rate risks
    7. Enables an organization to prioritize and report on risks across the enterprise in a consolidated manner through integrated reporting tools and dashboards

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    Join Cletis as he discusses innovative ways of using the RHIO during a Pandemic and how Penn State Health used the RHIO and their Vaccine Management tool through Salesforce to deliver vaccines to a large population.