Professional Development & Continuing EducationData Analytics Summit | 2018
December 8, 2018
The Healthcare Analytics Summit is the fourth data analytics summit at Harrisburg University of Science and Technology. The focus is on healthcare informatics and advanced analytics in order to meet the demands of the health industry as it transforms to value-based care. You’ll learn more about operationalizing routine care, integrating health status and predicted health needs through technological advancements, and improving care coordination via language processing and computer interpretation. This summit will combine clinical, operational, and financial analytics to transform care delivery as we know it today.
Rand Ford, Professor of Analytics, Harrisburg University
Jay Liebowitz, Harrisburg University
Kelly Powell Logan, Vice President for Strategic Workforce Development and University Centers
Glenn Mitchell, Vice Provost for Institutional Effectiveness
Stephen Penn, Associate Professor of Business Analytics & MEBA Program Lead
Kevin Purcell, Associate Professor of Data Science and Program Lead for ANLY Program, Harrisburg University
|8:30–8:45 am||Opening Remarks|
President, Harrisburg University
|8:45–9:30 am||Morning Keynote: The Future of Informatics, Advanced Analytics and Healthcare|
Science is changing rapidly and new transdisciplinary approaches are resulting in transformative change across domains. Health and medicine have begun to embrace convergent approaches that involve expertise from non-traditional biomedical disciplines. This has resulted in new methods and findings that could not have happened a decade earlier. Informatics and advanced analytics are poised to contribute to these changes by bringing sophisticated techniques to partnerships in the biomedical realm. This talk will cover some advances being made and a vision for future.
Director, Smart and Connected Healthcare, National Science Foundation (NSF)
|9:45–10:30 am||Track 1||Using Value Analytics at Johns Hopkins Medicine|
The health care industry is under pressure to provide safer and higher quality care while reducing costs. This presentation will provide an overview of how a large academic health system with multiple hospitals sets its data and analytics strategy and operationalizes the day to day tasks with the goal of providing higher value care.
Johns Hopkins Medicine
|Track 2||Health Analytics: How Cognitive Analytics Are Transforming Patient Care|
Cogitative Analytics are enabling machines to replicate human actions and judgement with robotics and cognitive technologies. Today, cognitive analytics are supporting health care operations such as prior authorization which is knowledge-intensive, highly manual, and error-prone. Increasingly, health care innovators are exploring use cases that directly address patient care – for example, using analytics to review doctor’s notes to examine for undiagnosed conditions by comparing claims submitted on a patient. This presentation will define cognitive analytics and robotic process automation and their applications for health care.
|10:45–11:30 am||Track 1||Transforming Care Delivery through Predictive and Prescriptive Analytics|
The healthcare sector is facing major challenges with regards to quality and access to care. The Institute of Medicine and the National Academy of Engineering proposed a medicine-engineering partnership to address these challenges. A ‘union of forces’ of scientists, engineers and health professionals and harnessing the power of data and technology can transform systems. Mayo Clinic’s Kern Center for the Science of Health Care Delivery hosts the Information and Decision Engineering program that translates research and development in data and decision science to transform care delivery. The creation of Clinical Engineering Learning Laboratories (CELLs) as a partnership to embed learners, establish big data and analytics environments, and leverage technology such as radio frequency identification will be highlighted. Join the discussion on best practices and lessons learned.
|Track 2||Rx for Better Health: Integrated Data and Analytics|
Today, there is lots of talk about “health coverage” and “health care” after people get sick – but not enough about keeping people “healthy” up front. Today, agencies are just starting to scratch the surface on how to improve outcomes by preventing serious health issues in the first place – and they’re doing it by integrating and analyzing data from multiple programs – inside and outside of Health and Human Services — to obtain meaningful information about the services they provide to individuals and families. Collectively, these are called social determinants of health (SDOH), and they include information such as access to housing, utilities, transportation, education, and employment. A state’s ability to effectively manage SDOH can significantly improve health outcomes and reduce healthcare costs. This session will show how states are integrating often disparate data to determine the effectiveness of services they provide and to improve the physical and behavioral health of their citizens.
|11:45–12:30 pm||Track 1||Making Data Matter: Advanced Analytics Are Driving the Value-Based Care Transformation|
Advanced Analytics Are Driving the Value-Based Care Transformation Without a doubt, the healthcare industry is in the midst of a major transformation to value-based care. Nearly all health plans report having some type of value-based arrangements in place, and a 2017 Chilmark Research report found the number of accountable care organizations (ACOs) has grown 13-15 percent in each of the last two years and there are now more than 935 ACOs covering approximately 10 percent of Americans.
Capital Blue Cross; Geneia
|Track 2||Outcome-Based Health Care Powered by Visual Analytics Platform|
Data and analytics are the key to helping the private and the public sector to deliver better health care to everyone. Population health management, disease management and effective wellness programs are some of the areas where data and analytics is having a significant and measurable results. Today we see many of the top health care providers using data and analytics to achieve these results. At Tableau, we have helped health care organizations deliver improved health care outcomes. See how the Tableau Analytics Platform is delivering this insight through a sharing of customer examples of data and analytics.
|1:15–2:00 pm||Afternoon Keynote: Building a Culture of Health from Data to Policy|
Building a Culture of Health means creating conditions in which communities can be successful in improving health for all. Converting data from health care and community sources into information and knowledge to guide action is a critical part of the process of enabling change process. Data analysis at the community level can drive better care of individuals as it gives insights to their social needs and referral opportunities to address them. Looking at data across a group of individuals enables a community to address health determinants including access to healthy food, housing and behavioral health services.
Robert Wood Johnson (RWJ) Foundation
|2:00–2:45 pm||The Rules of Engagement for Successful Analytics|
A data trace is left at every touchpoint during a patient’s episode of care. Each trace is a clinical, operational or financial piece to a puzzle that defines the pathway along the patient’s healthcare journey. But data traces also contain the danger of being incomplete, unreliable, out-of-date, misinterpreted, inappropriately used, and potentially accessible to unauthorized individuals. In order to achieve the promise of transforming care, healthcare data assets benefit from being formally managed through a set of processes that ensures that data is credible, available, efficient, useable, secure, visible, and of sufficient quality to enable a wide range of clinical, operational, and financial analytics insights. This presentation will outline a roadmap for developing a data governance model to help healthcare organizations avoid the negative consequences of unreliable data while advancing their analytics maturity.
|3:00–3:45 pm||Population Health Analytics Strategies: User-centered Design, Interactive Visualization, and the Ecosystem of Data around the U.S.|
As an industry we are just beginning to realize the potential that health analytics holds – not just for improving care but for increasing access to services. One of today’s challenges in health care is to make data understandable and meaningful to those professionals working in population/public health and to the communities that surround them. Three methods that we need to further develop and use are user-centered design, interactive visualization, and awareness of the ecosystem of information that is available to us. User-centered design means keeping our audiences as the focus of everything we do using specific design methods including those in which our users become our design partners. Interactive visualization, as developed by the University of Maryland’s Institute for Advanced Computer Studies, The University of California San Francisco, and others takes complex information and makes it accessible. Users can easily query and visualize information. And the large ecosystem of data around us provides further information to supplement more traditional medical records. In this talk, we provide examples and best practices of how these three strategies may improve population health data.
University of Maryland System Schools
University of Baltimore
|3:45–4:15 pm||Communicating the Story to Others Using Visual Aids|
Quality analysts in the healthcare industry are often tasked with distilling big data into data stories that are clear, compelling, accurate and actionable. Charts and graphs are important visual aids to that communication, but the advancement of healthcare analytics has led to the proliferation of dashboards, reports and other data visualization techniques, many of which do not immediately evince a story to the intended users. This presentation provides strategies to analysts responsible for designing visualization strategies suited not for their own needs but those of a diverse audience, from an infection control nurse assessing an outbreak to a healthcare executive making strategic decisions. Understanding not only the nature of data but the audience for your information is key to unlocking the true goal of visualization: telling a story where simplicity is king, important plot points are clear, everyone has the same view of the page, and where the audience is moved in a common direction to ensure that the story has a happy ending.
|4:15–5:00 pm||Where Is Healthcare Analytics Headed?|
This session provides an overview of two current and exciting developments in Analytics that will dramatically effect healthcare in the near future: (1) new levels of sophistication in Natural Language Processing that will allow true computer interpretation of prose text files such as physician notes and even publications; and (2) new educational approaches to analytics as part of Informatics curricula for a new generation of Healthcare Informaticists.