December 3, 2019
  • 7:30 AM
    Breakfast and Registration
  • 8:15 AM
    Opening Comments from the Chair
  • 8:30 AM
    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.

  • Organizational Foundations
    • 10:30 AM
      Industry Expert
      Saving costs and reducing unnecessary testing through improved data mining to control lab costs and avoiding over testing

      Testing and labs play a large and necessary role in the healthcare industry; however, in some cases they are unnecessary, or redundant. Avoid unnecessary and costly labs and tests through better use of data and cross department communication. Learn how you can engage in:


      • Better mining practices to differentiate between necessary and unnecessary testing
      • Improved communication between diagnostics and labs to avoid duplication and redundant testing
      • Educating all front-line workers on how to address disruptive and redundant testing with patients


      Better manage your lab costs through more judicious analysis of your data

    • 11:00 AM
      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

    Analytic Insights
    • 10:30 AM
      Industry Expert:
      Deploying data analytics tools to improve patient flow and cost savings

      While clinical decision making is a major focus of data analytics in healthcare organizations, there are other areas where major insights can be established. Now you can deploy data analytics to improve operational efficiencies is equally important. Create a blueprint to improve:


      • Patient flows and the more strategic use of resources to save money while improving patient experience
      • Collaborations among teams to improve coordination and patient care
      • Operational systems that streamline efficiencies across the organizationLearn how you can apply your data to build improvements in your organizational efficiencies
    • 11:10 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

  • 11:30 AM
    Thought Leadership
    Machine Learning/ Artificial Intelligence

    Machine learning is 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 insight to benefit your organization. Take away a blueprint for implementation by hearing:

    • Healthcare success stories in machine learning and Artificial Intelligence
    • Results that have been achieved
    • What impact this technology could have on your organization and patient outcomes

    Be on the leading edge in healthcare improvement

  • 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
    Judith Dexheimer
    Associate Professor, University of Cincinnati Children’s Hospital, Department of Pediatrics

    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 patient data
    Lori Lenox
    Business Strategy and Analytics, Canadian Medical Protective Association

    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

  • 2:30 PM
    Real World Data

    Real World Data is used in clinical trials, but it has big implications and lessons for all health care providers. Build your data capacity, and leverage real world data in your analytics program.

  • 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
    Tech Update Panel
    Optimizing data capture and integration tools in order to deliver the best service to the right patient at right time

    Advances in data capture and analysis continue to grow, while also becoming more affordable. Since capturing data, and making it applicable to your organization’s goals is essential, so too is investment in the right technology. Master the success factors to:


    • Build interoperability into your analytic programs
    • Deliver large results – and how to fund them
    • Ensure future investments will dovetail with current systems


    Optimize your data analytics program through strategic investments in your capabilities

  • 4:15 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

  • 4:45 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
  • 9:15 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

  • Organizational Foundations
    • 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
      Industry Track
      Future opportunities: Journey mapping patients in a data centric system to understand their experience – and how decisions might impact their diagnosis and treatment

      There are many applications – and opportunities – to apply data analytics to patient care. One area that is gaining some attention is with patient experience, particularly if we can map a patient’s journey through the system. Take back strategies to:

      • Assess how data is building maps of the patient’s experience with healthcare treatments and outcomes
      • Determine how effective data mining can apply appropriate treatment, and improve patient experience
      • Create appropriate follow up interviews to build more robust post-treatment data

      Learn how your data from current patient experiences can build better treatments for the future

    Analytic Insights
    • 11:00 AM
      Case Study: Cancer Care Ontario
      Data visualization: How to use more sophisticated data presentation is essential to making informed medical decisions

      Data visualization is separate from data literacy. But it is equally important, and is a major component of communicating your key findings both internally and externally. Adopt best practices to:


      • Improve patient behavior, adherence, and outcomes through exemplary data visualization
      • Communicate more effectively with decision makers to funnel resources to the most appropriate areas
      • Demonstrate need and success through creative mapping and charts

      Build your influence among decision makes and patients through better data visualization tools

    • 11:30 AM
      Industry Track
      Integration of third-party data capture: How the healthcare system should partner with apps and personal medical devices

      There is more patient data available than ever before; unfortunately, much of that data is house in third party data bases through apps and personal wearables. Learn how you can access that data to combine it with a patient’s files. Source practical tips to understand:


      • What options are available to access this treasure trove of data
      • The legal implications of accessing this data
      • How this may impact the healthcare industry and patient behavior and outcomes


      Gain a better understanding of the various data sources available and how you can incorporate them into patient files

  • 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.

  • 1:45 PM
    Case Study:
    Using Geoanalytics to Stitch healthcare data with social determinants data to create a more robust picture of population health
    Tyler Chalk
    Chief Strategy and Communications Officer, Southlake Regional Health Centre

    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
    Spotlight: Scaleable Data Systems
    Scale your Data as a Service to Make Huge Gains in Operational Efficiencies

    Data is transforming how we deliver health services. To repond data as a Service can reduce deployment time while scaling capacity with newer data systems. Achieve a step-by-step action plan to:

    • Improve your ability to scale you data analytics capabilities
    • Delploy Data as a Service to more effectively store and manage large amounts of data
    • Reduce the time you spend on your data projects

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

  • Organizational Foundations
    • 2:15 PM
      Industry Track:
      Develop an Enterprise Data Strategy to Transform Your Organization

      Organizations must implement a Enterprise Data Strategy to shift from full paper based environment to a digital environment. Develop a data strategy that will increase your organizational business intelligence maturity. Takeaway strategies to:

      • Connect with organizational leaders and stakeholders to create a vision for enterprise data
      • Design a program to meet the needs of corporate reporting, quality and research in an academic hospital
      • Set realistic and achievable next steps


      Realize the power of enterprise data strategy to effectively manage your limited data in a centralized manner

    • 2:45 PM
      Team Track Panel
      Form an Effective Healthcare Analytics Team to Maximize Efficiency and Resources

      To succeed in healthcare analytics, you need to ensure you have the right skills in place. Assemble a multidisciplinary team to deliver actionable results for your organization. Gain insights to:

      • Create new and exciting career pathways
      • Recruit the right people for your team
      • Work with stakeholders in different departments


      Develop a healthcare analytics team to support your data-driven initiatives.

    Analytic Insights
    • 2:15 PM
      Approach Data as a Valued Asset to Gain Insights and Take Action

      Data has been typically perceived as a by-product of business activity, but we need to shift away from this mindset to better prepare for the future. Transform the way you use data to support next-generation technology. Get new ideas to:

      • Create a foundation for artificial intelligence and machine learning
      • Build the basics for predictive analytics
      • Translate Big Data into actionable information


      Create a data future in your organization to become a next generation healthcare leader

    • 2:45 PM
      Team Track Panel:
      Leveraging Real Time Data to Improve Your Healthcare Responsiveness

      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

  • 3:15 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
    Industry Expert: Patient Data
    How to provide open access to patients to drive positive behavior change

    The patient is ultimately responsible for their own health outcomes, whether it is through behavioral change, or treatment adherence, the patient response is vital in their health outcomes. Ensure your patients adhere to data-driven decisions by giving them assess their own data. Source practical solutions to:


    • Create a better understanding of their health and treatment goals
    • Read their health data effectively to see progress or regression and respond appropriately
    • Stay engaged in their long-term health and treatment options


    Understand how you can provide patients with access to their data for improvements in self-care

  • 4:15 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 Univeristy and Research Scientist, 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



  • 4:45 PM
    Conference Adjourns
December 4, 2019
December 5, 2019
  • 9:00-12:00 PM
    Workshop A
    Ethics and data governance: How to develop a robust process for ethical data sharing

    Data is only useful if it can be used effectively. And in order for data to be high value, it must be available to various departments. Indeed, the higher the value the data carries, the more it should be shared.


    Take advantage of this in-depth, instructional workshop on how to ensure that organizations that need the data can access it, and that it is ethically deployed.


    Some of the discussion topics will include:


    1. A primer on the legal ramifications of data capture and sharing
    2. How to apply for and access various data sources
    3. The roles and responsibilities of possessing sensitive data
    4. How to access personal and anonymous data – and the different manners in which they are governed
    5. Ethical use of data and the gray areas you can expect to encounter
    6. What you must do if you suspect the data has been compromised


    Gain a solid understanding of the legal and ethical implications of patient data sharing

  • 1:00-4:00 PM
    Workshop B:
    Data Visualization: Learn how to aggregate and create infographics and charts that drive decision making

    Data is most effective when it is clear and understandable. More and more we are finding that data visualization is a key determinant in creating a clearer picture of the data you are trying to present. And nowhere is this more important than in communicating with non-data groups, such as patients and administrators.


    Join us for this highly interactive and instructional workshop on how to use data visualization to present your data to decision makers. Participants will also have the opportunity to create an infographic using actual health data.


    Some of the discussion topics will include:


    1. The software options available
    2. How to integrate data sources to build sophisticated data maps


    Gain a solid understanding of the nuances of creating a presenting data in a more visualized format

December 5, 2019