Agenda

Johns Hopkins Hospital took a self-service analytics and LEAN approach to improve patient placement turnaround time by reducing bed down time. Identify how analytics played a key role in process improvement support to maximize your organization’s resources. Get new ideas to:

• Leverage BI tools for data discovery
• Use data to innovatively solve the problem
• Use data visualization to tell a story and get buy-in

Close the gap between perception and reality through self-service analytics.

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.

Data preparation and management is crucial in delivering accurate analytics. Discover unexpected insights in your databases to identify problem areas and opportunities for improvement. Get new ideas to:

• Develop a process to ensure data quality
• Extract new and important variables
• Identify outliers and anomalies

Change the way you process data to drive success in an increasingly data-driven world.

The Ontario Ministry of Health and Long Term Care has been striving to augment their analytical capacity by developing data science capabilities. Learn about the MOHLTC’s journey to develop a data science program in order to help your organization utilize these exciting and promising techniques. Learning objectives will include:

• Analyze lessons learned from establishing a data science capability within the ministry
• Identify potential applications of AI and related machine learning approaches
• Review case studies for data science applications within healthcare organizations

Utilize data science applications to make effective data- driven decisions.

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

Using analytics, NRPH lead an in-depth analyses into the region’s engagement with health services. Acquire insights into your region’s health to deliver improved patient care. Get insights to:

• Develop a dashboard to examine infectious diseases
• Apply hot spot analyses to obtain further insights
• Partner with local organizations to undertake initiatives

Derive new insights on your analytic projects from public health initiatives.

There are so many potential sources of data, making data integration a challenge. Pull all of your information into your data warehouse to improve your patient care. Master the success factors to:

• Streamline how you view your data
• Leverage your complex data to improve care in your healthcare facility
• Organize your data into patient personas so you can anticipate patient needs

Use data integration to improve how you plan patient care.

The sports industry uses analytics and data visualization in a variety of contexts. Discover how data and analytics can improve performance and drive success. Gain insights to:

• Determine the kinds of data and optimization problems encountered on the business side of a professional sports organization
• Use visualizations throughout the data analysis process, from data exploration to communicating results to key stakeholders

Realize what the world of sports can teach you about data-driven decision making.

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.