Agenda

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

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

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.

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

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

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

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.

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

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

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.

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

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

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

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

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.