Agenda - Day 1

• Get a good start on the day and make connections with industry leadership
• Join “drop-in” roundtables on most topical issues
• Schedule 1-2-1 video meetings with peers
• Gather essential content at virtual exhibit booths

Gain insight into today’s key learnings, take-aways and highlights to map the current situation and help in achieving success from today’s event.

An incredible amount of data has been captured during the COVID-19 pandemic and it’s both enlightening and confusing. This data is particularly robust as it’s coming from not only the healthcare sector but from tech companies as well. The question for analytics professionals is — how do you ensure it is accurate? Develop an action plan for:

• Designing and implementing more analytics into your data
• Creating protocols for better data capture
• Integrating third party data in order to scale your data across all healthcare touchpoints
• Educating staff to understand, trust and use the data generated

Take advantage of the current data deluge to build more complete and accurate data sets.

Despite the COVID-19 pandemic, hospital operations and emergency patient care were still required. Discover how St. Joseph’s Healthcare in Hamilton not only responded to the COVID-19 crisis but maintained operations and developed regional partnerships to deliver on their mandate. Examine their initiatives and strategies to:

• Test, track and vaccinate
• Develop and deploy digital analytic in-house tools to monitor COVID-19
• Quickly work alongside regional and local teams to incorporate data sharing agreements

Benefit from the lessons learned in testing, tracking and maintaining daily operations at St. Joseph’s Hospital Hamilton.

The domains of people and supply serve as the foundation on which patient outcomes and organizational efficiency are built.  Now, more than ever, it’s critical for providers to leverage a blend of operational and “back office” data.

Through real use cases, we’ll review how high-performing healthcare organizations use analytics and embedded machine learning to turn data into action.

COVID-19 accelerated the adoption of new technologies and organizational structures across all industries. But perhaps none more than the healthcare sector. Join the discussion as we tackle some of the lessons Niagara Region Public Health learned as they scaled up to meet the demands of their COVID-19 response. Source insights to:

• Quickly scale up staffing who are skilled in data capture and analysis to meet increased demands
• Protect data and patient privacy while sharing critical information to trusted teams
• Build effective partnership agreements and establish trust in your collaborative work
• Communicate quickly and clearly with the public on COVID-19 mitigation and transparency

Leverage lessons learned and implement best practices for building data analytics capacity quickly and effectively during COVID-19. 

Visit Virtual Booths, Source Content and Engage in Demos with Industry Experts

• Pose your biggest questions to leading industry experts through 1:1 video conversations or instant messages.
• Experience a live demo or test out a new product. Source leading-edge content from virtual booths.
• Walk away satisfied with solutions to your greatest challenges.

One of the most exciting aspects of data analysis is the ability to create robust predictive analytics. Uncover how you can improve diagnoses, treatments and operational effectiveness using predictive analytics. Gather practical tips to:

• Understand what predictive analytics is and what it can and can’t do
• Evaluate strategies to incorporate predictive models into operational workflows
• Create a framework for maintaining existing models and developing new ones.

Prepare for the future by developing your own predictive analytics modeling program.

The future of healthcare is going to be a mix of technology and human-centered interactions. Healthcare organizations must prepare by placing more of an emphasis on data analytics and by building  better patient journeys to feed patient-centered algorithms. Create a data-driven strategy to:

• Put method improvement models into place to improve clinical efficiency and remove waste
• Create a data-literate culture that can read, understand and interpret patient data
• Marry data analytics and process improvements to drive improved patient outcomes
• Establish formal governance structures that incorporate patient-centered approaches to healthcare

Determine how to transform your organization to embody a more data-centric culture.

• Meet informally with fellow delegates in “Drop-in” virtual roundtable chats.
• Engage in 1:1 video conversation with peers or vendors.
• Connect with fellow delegates as “recommend matches” based on similar interests and business objectives.