Agenda

December 3, 2019
  • 7:30 AM
    Breakfast and Registration
  • 8:15 AM
    Opening Comments from the Chair
  • 8:30 AM
    Opening Address
    Improving Data literacy to Improve Your Data’s Value and Increase its Actionability
    Eric Sutherland
    Executive Director, Data Governance and Strategy, CIHI

    Effective analytics starts with improved data literacy. Yet, there is still confusion on what organizations need to do to not only capture the necessary data, but how to mobilize it. Bolster your analytics program by improving your organizations’ data literacy:

     

    • Establish clear goals and boundaries for determining what your data should accomplish
    • Create an action plan for educating teams on appropriate data acquisition and use
    • Understand the ‘power plant’ of data and information management

     

    Develop a robust plan for improving your organization’s data literacy

  • 9:00 AM
    Case Study: Alberta Health Services
    Lessons learned on the implementation of surgery analytics and inpatient and outpatient insights
    Monica Hess
    Program Manager, Surgery Data and Analytics, Analytics (DIMR), Alberta Health Services

    Although it is still ongoing, Alberta’s initiative to expand surgery analytics has been a major shift in how patients are managed. Ensure you stay current on the key developments of Alberta’s implementation processes, and how they may impact surgery and patient care going forward. Source practical tips to:

    • Plan and prepare patients for day surgery in more varied proceedures
    • Create buy in from various parties, and continue to engage them through the process
    • Proceed over the next year(s) with various stakeholders

    Learn how Alberta is using surgical analytics and how you can follow their lead

  • 9:30 AM
    Industry Expert:
    How to Leverage Next Generation Intelligent Data Systems to Improve Patient Outcomes

    Privacy should not act as a barrier to data utility, health research, security, or innovation. Abandon zero-sum thinking! Proactively identify the risks and embed necessary protective measures into your design and data architecture. Apply Privacy by Design (PbD) to:

    • Build privacy and data utility into your analytics projects
    • Employ an ethical framework in your work
    • Enable privacy and freedom to work together in the future

    Achieve the highest privacy standards to protect your patients’ information.

  • 10:00 AM
    Morning Break

    Interact with conference speakers and fellow attendees. Secure important new business contacts and talk about crucial developments in your field.

  • 10:30 AM
    Case Study: The Royal (Ottawa)
    Data accuracy: How to ensure captured data is correct and actionable to meet your organization’s digital analytics goals
    Henna Hussain
    Decision Support Coordinator, The Royal Mental Health

    The Royal spent the last two years educating their teams to trust their collected data because data accuracy is the foundation of establishing the culture change necessary for your shift to digital. Create an action plan for isolating, correcting, and preventing further data inaccuracies to establish trust among your health care teams. Create an action plan to:

    • Understanding the various root causes of data errors and how to address them
    • Establishing systems and protocols to mitigate data entry through human error
    • Educating staff to undertand and trust data, but also how to be suspicious of it

    Ensure your organization develops a robust action plan to protect the integrity of your captured data

  • 11:00 AM
    Panel
    Partnerships and data sharing agreements: How organizations are building better data pools through partnerships to improve actionable insights
    Bob Gordon
    Executive Director, Canadian Cyber Threat Exchange (CCTX)

    There is clear legislation on data sharing, but there are also protocols in place to ensure the legitimate sharing of data. Through improved data sharing you can amass larger pools of important data that can improve patient care and decision making on many levels. Build new best practices to:

     

    • Protect data and patient privacy
    • Establish protocols fors needs of various forms of data
    • Build effective partnerships agreements and what they should entail
    • Engage the most appropriate and relevant organizations for agreements

     

    Discuss your available options for building better data pools through improved data sharing agreements

  • 11:30 AM
    Thought Leadership
    Building Improved Predictive Analytics Through Machine Learning and Artificial Intelligence
    Peter Jones
    Industry Lead – Canadian Healthcare, MICROSOFT CANADA CO.
    Artificial Intelligence and machine learning are making significant inroads in healthcare, with common predictive models highlighting patients most at risk, improving clinical decision support at the point of care, automating routine clinical tasks, and improving population health management. Gain valuable insights to prepare your organization for more precise decision support. Take away your blueprint to:
     
    • Creating lasting impact on your organization and patient outcomes
    • Model your success on actual success stories in machine learning and Artificial Intelligence
    • Deliver results in both clinical and operational settings
    Be on the leading edge in healthcare improvement through a robust ML and AI program
  • 12:00 PM
    Networking Luncheon

    Join the conference speakers and your peers for a relaxing lunch.

  • 1:00 PM
    Case Study: Unlock your Data Potential
    Harmonizing your data and management structure to drive accountability
    Deanna Rothwell
    Director, Analytics, The Ottawa Hospital

    The Ottawa Hospital is one of Canada’s largest learning and research hospitals, and an innovator in data warehousing and the development of business intelligence tools. Using the example of patient experience results, the Ottawa Hospital will demonstrate how they are driving value and accountability at the operational and clinical levels by aligning outcomes to a service line management structure.  Create a roadmap for:

    • Building an analytical framework that ties accountability metrics to the physician and administrative hierarchy
    • Embedding an accountability culture in your institution using cascading metrics
    • Promoting physician engagement and uptake of the results by leveraging the recredentialing process

    Take away strategies for realigning your organization to improve patient outcomes and building reporting platforms that reflect organizational hierarchies.

     

  • 1:30 PM
    Use Case: AI and machine learning
    Strategies for building deep pools of data to truly drive data analytics and innovation in healthcare

    There has been a great deal of interest in the possibilities emerging through AI, ML, and predictive analytics. While the prospects are high for healthcare, there are few organizations currently capable of acting on it. Learn how you can take advantage of AI, ML and predictive analytics to:

     

    • Build baseline data and technology requirements to establish and effective AI program
    • Establish more accurate decision making, improved predictions and patient quality of care
    • Realize the promise of personalized medicine and improve patient outcomes

     

    Explore the challenges and opportunities for improving your patient care through AI, ML and predictive analytics

  • 2:00 PM
    Panel: Data standardization
    How to best develop a country-wide standard to better integrate healthcare data
    Lori Lennox
    Business Strategy and Analytics, Canadian Medical Protective Association
    Ian Joiner
    Manager, Health Networks, BORN ONTARIO

    There are many different data standards across the country, adding more confusion and uncertainty when it comes to analyzing data, and predicting outcomes. But organizations must establish data standards to ensure everyone reads the data in the same manner. Join this in-depth discussion on data standardization as we address:

     

    • The importance of standardization and what it means for better analytic in healthcare decision making
    • Which organizations are leading the initiative, and the current status of establishing data norms
    • How to best establish a country-wide data standard to ensure universal literacy of the data

     

    Gain a better understanding of the current and future prospects of a national data standard and how you can respond

  • 2:45 PM
    Case Study
    Developing improved predictive analytic models to anticipate and respond to future challenges
    Peter Papadakos
    Director, Decision Support & Analytics, Health Records and Transcription, Freedom of Information and Privacy, Quinte Health Care

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

     

    • Understand what predictive analytics is, and what it can and can’t do
    • Develop an action plan on which data to collect, and how it will be collected
    • Create the capacity to capture and analyze more data

     

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

     

  • 3:15 PM
    Afternoon Break

    Connect with conference speakers and fellow attendees. Secure important new contacts and talk about crucial developments in your field.

  • 3:45 PM
    Case Study: Niagara Region Public Health (NRPH)
    Best Practices in Assessing Information Governance to Achieve Improve Data Management and Quality
    Sinead McElhone
    Surveillance and Evaluation Manager, Niagara Region Public Health

    Niagara Region Public Health carried out a comprehensive IG maturity assessment which reviewed NRPHs electronic health information, metadata management, data governance, data standards, data quality and policies and procedures underpinning these areas. Understand how NRPH’s IG holistic assessment has provided tangible recommendations to improve the management and quality of their health information and data assets. Take back best practices to:

     

    • Build systems that improve the IG assessment and results
    • Understand how IG recommendations can be integrated into an Roadmap with short, medium and long term outcomes
    • Create an action plan for developing your own IG assessment

     

    Develop best practices for building a robust data management and governance model

  • 4:15 PM
    Stop-Start-Continue

    Review your take-aways from the day’s learnings. Attendees will discuss their plan for their return to the office:

    • What will you stop doing?
    • What will you start doing?
    • What have you successfully benchmarked and will continue doing?

    Confirm your take-aways from the first day of the conference.

  • 4:30 PM
    Conference Adjourns to Day Two – Evening Cocktail Reception

    Don’t miss this exclusive end-of-day gathering with conference speakers and attendees! Unwind, mingle and build relationships that will benefit you in the years to come. Bring your business cards.

December 3, 2019
December 4, 2019
  • 7:30 AM
    Breakfast and Registration
  • 8:15 AM
    Opening Comment from Chair
  • 8:30 AM
    Case Study
    How to develop a data analytics program to improve data literacy and quality of care
    Vincci Tang
    Deputy CFO and Director of IT and Decision Support , ONTARIO SHORES CENTRE FOR MENTAL HEALTH SCIENCES

    Improvements in treatment is a major focus of any data analytics program. Alongside this should be measurements that assess quality of care, from patient experience to positive outcomes. Take away practical solutions to:

     

    • Understand what data literacy means, and how to begin a program to gain improvements in quality of care
    • Apply measurement criteria that is reasonable but effective
    • Create a dashboard that benchmarks your quality of care program

     

    Gain actionable insights into how you can develop and deploy a data analytics program to improve data literacy and quality of care

  • 9:00 AM
    Industry Expert:
    Healthcare 2050: How to build the foundation now to prepare for future care

    With increased incidences of chronic diseases, and in some cases declining life expectancy, healthcare costs will continue to rise. Providers must respond to this trend by reversing this trend, and one of the most powerful ways to accomplish this is through analytics. Create an action plan to:

     

    • Stay ahead of the curve through advanced analytics that specifically target chronic diseases
    • Prepare for the future through a combination of education and data capture and monitoring
    • Develop the tools necessary to reduce healthcare costs in the short and long term

     

    Create the foundation you need to address the future costs of healthcare

  • 9:30 AM
    Change and culture: How to build a data-driven culture centred around patient outcomes
    Scott Wells
    Director, Information and Analytic Services, eHealth Saskatchewan

    The future of health care is going to be a mix of technology and human-centred interactions. To respond, healthcare organizations must place more emphasis on data analytics, and the deployment of more technology to feed algorithms. Source your plan of action to:

     

    • Build your system to collect the right data now with an eye for the future
    • Build a work culture that prioritizes data-driven decisions centred around patient outcomes
    • Create a data-literate culture that can read, understand and interpret patient data
    • Leverage demonstration projects to build engagement and propel your organization toward a more data-driven culture

     

    Determine what you must do now to transition into a more data-centric culture

  • 10:15 AM
    Morning Break

    Network with conference speakers and fellow attendees.

  • 10:45 AM
    Speaker Spotlight

    What you don’t know about your data: How to make your data more actionable

  • 11:00 AM
    Case Study: OLTCA
    Creating the culture necessary improve physician engagement across the healthcare industry
    Tammy Arntson
    Corporate Director, Strategic Analytics and Data Collection, Covenant Health

    As the front-line workers who engage with patients, diagnose, and make the necessary treatment decisions, physicians play a fundamental role in the capture and use of relevant patient data. But it is essential to create their buy in as an essential component of any data analytics program. Take away solultions to:

     

    • Build rapport with the physician community to ensure engagement, from private practices to hospitals
    • Understand how physicians make treatment decisions to better integrate their practices into your systems
    • Establish how treatment guidelines are deployed on a patient-by-patient basisBuild your engaged physician culture to maximize your data analytics program
  • 11:30 AM
    Case Study: Cancer Care Ontario
    Data Analytics Maturity: Best practices in transitioning from integration to maturity to optimize clinical and organizational decisions
    Tara Coxon
    Deputy Chief Information Officer, St. Joseph’s Healthcare Hamilton

    Incorporating data analytics into your organization is a long-term commitment. Prepare your organization by applying strategic solutions to move from adoption to maturity. Source best practices to:

     

    • Improve your employee adoption of data analytical tools and success
    • Advance your organizational strategy from integration to maturity
    • Create a roadmap to ensure success along your initiative

     

    Build best practices into your data analytics strategy from the beginning through maturity

  • 12:00 PM
    Networking Lunch

    Join the conference speakers and your peers for a relaxing lunch.

  • 1:00 PM
    Interactive Session: Birds of a Feather

    Gain insights from your industry peers and benchmark your organization against others in this interactive session. Delegates will be divided into informal discussion groups based on their areas of interest.

    “Flock together” to brainstorm innovative approaches to your most pressing challenges.

  • 1:30 PM
    Case Study:
    Using Geoanalytics to Stitch healthcare data with social determinants data to create a more robust picture of population health

    Most organizations are interested in integrating multiple data sources to gain a more complete picture. One area that has received as much attention is the use of widely available, and often public, geospatial mapping. Take back strategies to:

     

    • Build more detailed visualizations of population health
    • Assess trends in aging, disease incidences, and socioeconomic status
    • Correlate healthcare utilization data, demographics data, and cost data for a more complete picture

     

    Adopt a data-driven approach to the prioritization of population health interventions to maximize ROI

  • 2:00 PM
    Case Study: Sunnybrook Health Sciences Centre
    Upscale your Data Analytics Make Huge Gains in Operational Efficiencies
    Wendy Li
    Manager, Sunnybrook Health Sciences Centre

    Data is transforming how we deliver health services, but it’s largest transformation will occur when it can be reliably scaled. Expand your data capabilities by scaling your analytic program. Achieve a step-by-step action plan to:

    • Improve your ability to scale your data analytics capabilities
    • Deploy more data across more departments to more effectively store and manage large amounts of data
    • Ensure your data programs have the capacity to scale as they grow

    Capitalize on Data as a Service to scale your data analytics operations.

  • 2:30 PM
    Afternoon Break

    Connect with conference speakers and fellow attendees. Secure important new contacts and talk about crucial developments in your field.

  • 3:00 PM
    Team Track Panel:
    Leveraging Real Time Data to Improve Your Healthcare Responsiveness
    Farah Jivraj
    Head, Market Access, Biogen

    Data lag creates issues in any analytic process but in healthcare real time data is can have critical implications. Amplify your decsion making speed to improve patient outcomes. Gain new insights on how to:

    • Integrate real time data into your processes to maximize response times
    • Reduce your team communication barriers to provide effective healthcare service
    • Minimize inefficencies to improve your performance and accountability

    Integrate your real time data into actionable insights to improve your delivery of care

  • 3:45 PM
    Case Study: North York General Hospital
    Measurement and metrics: Learn how to better measure patient outcomes and benchmark against industry leaders
    Christo El Morr
    Associate Professor of Health Infomatics, YORK UNIVERSITY
    Research Scientist, NORTH YORK GENERAL HOSPITAL
    Susan Woollard
    Vice President Clinical Services Chief Nursing Executive, NORTH YORK GENERAL HOSPITAL

    Each healthcare provider is at a different stage in their analytical development. It is therefore essential to begin a robust program of measurement and metrics to ensure that outcomes are in line with industry norms. Create an action plan to:

     

    • Establish benchmarks in the industry and graphing your status
    • Address data gaps early to successfully deliver more accurate performance outcomes
    • Develop better metrics to ensure you are measuring for the right outcomes
    • Determine the role of AI in developing your measurement and metrics

     

    Delve into the intricacies of measuring your outcomes and developing industry metrics

     

    Speaker:

  • 4:15 PM
    Stop-Start-Continue

    Review your take-aways from the day’s learnings. Attendees will discuss their plan for their return to the office:

    • What will you stop doing?
    • What will you start doing?
    • What have you successfully benchmarked and will continue doing?

    Confirm your take-aways from the first day of the conference.

     

  • 4:30 PM
    Conference Adjourns
December 4, 2019