Healthcare IT & Analytics Summit 2018

Registration & Breakfast

Chairperson’s Opening Remarks

Icebreaker

How Today’s Technology is Shaping Healthcare’s Future

Industries across the globe continue to transform digitally; and healthcare is no exception – in fact it could be said, it is the industry primed for technological reinvention.  In this session, we will look take a holistic approach to technology that is innovating healthcare and taking us into the future, such as:

• Smart Medical Devices
• Electronic Health Records (EHRs)
• Telehealth
• Online patient portals
• IoT
• Big Data
• AI & Virtual Reality
• And more…

This interactive discussion will provide an inside look into various technologies and the possibilities they will provide to the healthcare industry and what today’s IT & Analytics executives need to know to be ready for the future of healthcare.

What Role Does Health IT Play in the Move to Value-Based Care?

Providers and Payers alike have been facing challenges as we move away from a FFS (Fee-for-Service) to a value-based healthcare model.  This is changing not only billing and reimbursement but also the way that healthcare organizations deal with patients and how they deliver care and service.  In this session, we will examine such topics as:

• What are innovators doing to redesign healthcare in order to achieve success
• What data should we examine
• What role does health IT play in this strategy
• What is working and not working
• What does the future look like

Preventing Data Chaos in a World of Self-Service Analytics

Today, analytics capabilities empower organizations to deliver the insights required for an accelerating shift to value-based reimbursement and competitive pressures to innovate.

However, self-service and independent action with data decentralized across the enterprise can rapidly lead to data chaos and anarchy resulting in analytics that cannot be trusted.

The emerging best-practice approach is for enterprise architecture and analytics teams to focus on providing relevant capabilities that enable self-service and independent action, while fostering collaboration, re-use and enterprise governance.

In this session:

• Understand the drivers of self-service analytics
• Identify capabilities required to manage data as an asset in a decentralized approach
• Appreciate how data governance can adjust to a distributed approach to data management and analytics

Networking Break

Interactive Roundtable Discussions

The Future of Cyber AI: Examining IoT Vulnerabilities, Machine-Based Attacks and Ransomware

The WannaCry global ransomware attack in 2017 was a wake-up call for all industries, particularly healthcare; as over the last several years the healthcare industry has become heavily targeted by cyberattackers due to the immense amount of information held in patient records.  In this session, we will:

• Break down recent attacks and real-world use cases: ransomware, AI-Based Attacks, and vulnerable IoT devices
• Discuss how to detect and respond to threats using machine learning and autonomous response
• Provide best practices to keep up with today’s rapidly evolving cyber attacks

Lunch

The Tale of Two Hospitals Fighting the Opioid Crisis!

The Opioid Crisis looms large nationally. According to a report from the CDC, nearly 2 million Americans abused or were dependent on opioids in 2014 with that number steadily on the rise.  This two-part session will examine manners and methods that Geisinger and Penn Medicine are employing to combat this horrible crisis.

Part 1:  Examining How Geisinger is Addressing the Opioid Epidemic through Analytics

Using healthcare data and actionable analytics could play a key role in helping to combat this crisis.  We will take a look at how diagnostic, descriptive, predictive and prescriptive analytics can make it possible to identify individuals who are at risk of becoming opioid dependent and what healthcare providers can do to help pinpoint how to assist in fighting this epidemic.

Part 2:  Penn Medicine: Steps to Tackle the Opioid Challenge

Penn Medicine’s redesigned taskforce focuses on the implementation of an action-oriented and efficient structure in the context of unabated opioid challenges and increased regulation.  This includes the development & implementation of a system-wide response to the opioid challenge including:

• Uniform prescribing and treatment process, based on Pennsylvania and CDC prescribing guidelines
• Targeted provider and patient education
• Robust IT support

Advanced Analytics: Is the Enterprise Ready?

Today’s healthcare enterprise must be ready for the evolution needed to power business and clinical decisions by advanced analytics rather than the historical approaches to informatics.  This is necessary as we recognize that descriptive statistics of limited and aged data are incapable of supporting the optimization of health outcomes and costs as they compare to standardized treatments and personalized medicine.  In this session we will:

• Examine today’s strategic imperatives
• Understand the need for data-driven, predictive, patient-centered and real-time processes
• Unlock new economies of scale for better patient care and improved business competencies
• …and more

Networking Break

IoT in Healthcare:  Integrating Voice & Data Connectivity with Medical Devices

Wearable devices, mobile apps, sensors, telehealth, voice interfaces and connected devices are dramatically changing the way we experience healthcare.  In this interactive discussion we will examine how you can leverage voice experiences to engage users and patients, determine ways to develop new services from your collected data and more.

Scaling a Core Data Analytics team – success, failure, and path forward

Penn Medicine has spent the last several years building a centralized Data Analytics team (the Data Access Center, or DAC) to service health system operations and the research community.  As we reached scale for the service (now 50+ resources), we were faced with a number of tough challenges:

• Increasing demand (over 300 requests per month) led to the team being overwhelmed
• Management structure needed to operate a highly technical central data access team
• How to deal with incremental change to things we’ve build (it’s never complete)
• Supporting a major conversion of our inpatient EMR (hidden impacts on reporting and analytics)
• Lack of prioritization had us spinning out of control

We are going to share the lessons we’ve learned and the specific things we’ve done to successfully address our issues and will present data showing our progress.  We want to foster an open discussion so that other might avoid some of the pitfalls that we discovered when we scaled our central data analytics team model.

Swipe Left or Swipe Right? Advanced Communications, Analytics and Artificial Intelligence

In a world where you need to cater for Millennial’s, who can change providers at the touch of a screen, as well as Gen X, Gen Z, Baby Boomers and the silent generation; we have learned that one size does not fit all and the ability to cater for their communication journey needs and provide an excellent patient experience can be the difference between swipe left or swipe right.

In this session:
Take a closer look at how some of the leading health systems and payors are combining data from places you might not expect, to find hidden cohorts which gain better outcomes, boost revenue, increase efficiencies, reduce leakage and lower serious costs while at the same time increasing CSAT and retention.

Chairperson’s Closing Remarks

Reception

Registration & Breakfast

Chairperson’s Opening Remarks

Transforming Health Care Delivery Through Health Care Analytics and Artificial Intelligence

Dr. Paiva will present a history of Artificial Intelligence and Machine Learning and the applications within Health Care.  In addition, he will provide an overview of Oklahoma State University’s (OSU) Center for Health Systems Innovation’s (CHSI) efforts to apply these approaches to the transformation of health care delivery with an emphasis on rural health care.  Specific examples will be shown utilizing the largest clinical database representing clinical information from 63 million patients collected over 16 years through electronic medical record systems.

Quality Care & Patient Trust vs. Healthcare Data Breaches:  Analyzing the “Cost” of Data Breaches! 

A data breach triggers remediation activities, regulatory inquiries and litigation in the years following a breach – all of which disrupt and delay hospital services and can not only divert funds away from patient care but distracts employees – all which leads to quality of care problems.  In fact, there have been studies that have proven that patient deaths increase after a data breach.  In addition, as patients are looking at healthcare in more of a consumer-driven manner, these data breaches can also cause you to lose patients.  This session will examine:

• Understanding how data security can play a role in care quality
• Determining how security plays a role in the choices patients make as consumers
• Impact data breaches have to your organization’s reputation and revenue
• Manners to assess risks and build resilient & secure infrastructures
• How to construct a plan to proactively respond to patients should a breach occur?
• How do you analyze your data and systems to ensure breaches don’t happen?
• Minimizing breach effects to patient care

Networking Break

Deploying Analytics to Drive Consistent Population Health Improvements

The efficiency of any population health program relies on the ability to leverage population data.  In this session, we will examine how healthcare organizations can utilize the power of robust data and analytics to improve the quality of patient care.  We will look at how an organization can use population health data and analytics to:

• Determine the best data and analytics to utilize
• Identify and address gaps in care
• Create new intervention tools and identify best practices
• Engage providers to increase the chances for population health management
• Educate patients and community resources through easily understood data interpolations

The Strategy to Deliver Maximum Value in a Value-Based Health Care World

Health Care, especially Health Care IT and Analytics, will continue to play a vital role in how we deliver care.  But how will they fit into a value-based care delivery model? Will they improve outcomes and reduce costs?  How will their roles change as the system evolves to maximize value for patients?  How will these health care companies incorporate and leverage technologies like AI, robots, and digital health? Dr. Shah will discuss the future model of health care delivery–what it will look like and how next generation will have to adjust to a new delivery model: focusing on delivering the right outcomes at the right location, all while reducing total costs of care.

Technology Enabled Patient-Centered Care

Patient-centered care has been one of the major domains of healthcare quality for more than 15 years; however, in most organizations, there has been little done to shift towards a high-touch, personalized and patient-focused style of care.  In this session, we will discuss:

• Innovative manners to use technology to support and enhance personalized patient care
• Understanding what makes digital technologies usable and desirable
• Examining patient portals, patient decision aids and wearables and what type of positive impact they will have on clinical outcomes and care coordination
• What the future holds for connected health in terms of both the patient, provider and payer

End of Summit