Arcadia conducted a study to understand the latest trends in healthcare IT. This exclusive webinar unveils critical insights from the Harris Poll that are shaping the future of health analytics platforms and the emergence of AI. Join speakers:

• Aneesh Chopra, Chief Strategy Officer, Arcadia (Former U.S. Chief Technology Officer, Obama Administration)
• Dr. Abdul Shaikh, Global Leader for Population Health, AWS
• Mac Marlow, Chief Information Officer, Southwestern Health Resources

What you’ll learn:

• The evolution of the CIO role: Explore how the role of the CIO is becoming increasingly strategic within healthcare organizations.
• AI and data foundations: Understand why a robust data foundation is essential for successful AI applications in healthcare.
• Overcoming AI implementation challenges: Gain insights into the primary obstacles companies face when adopting AI solutions and how to overcome them.

A recent study conducted by HIMSS Market Research uncovered that many organizations have integrated various tools and data sources with data analytics platforms to get more from their data, and they’re looking to supercharge their efforts with AI and new data sources. Yet, more than half of executive, IT, technology, and clinical leaders report that, on average, only 53% of this data informs business decisions.

What’s more, organizations face various challenges in adopting new data platforms and tools. The most common barriers include competing priorities, the perceived complexity of integration, and a lack of internal resources. Something has to give.

Listen in to learn:

• The results of a survey conducted by HIMSS, which uncovered gaps in data utilization for strategic decision-making in healthcare
• Key priorities for healthcare analytics platforms identified by executive, IT, technology, and clinical leaders
• Opportunities to leverage non-traditional data sources, AI, and more with the power of a data platform
• How leaders can overcome data utilization barriers and put data to work to improve care delivery and workforce efficiency

Join Mike Tiffany Chief Operating Officer at Arcadia and Shashi Vangala, SVP, Chief Data Analytics Officer, Ochsner Health for this timely discussion.

What you’ll learn:

• How to leverage data to enable better health outcomes for both healthcare organizations and their populations
• How to align disparate sources and assorted EHRs across a network
• How to alleviate IT and data analyst bandwidth so they can focus on projects that deliver high-value results for the business 
• How a data platform enables healthcare organizations to prevent leakage, maintain an integrated network, activate physicians, and supercharge existing resources

We’ll discuss:

• The scope and urgency of HPV vaccination in the U.S. for cancer prevention
• Barriers of vaccination and the role of patient and provider engagement in the solutions
• How technology and data play a significant role in improving vaccination rates

Why listen?

This session aims to present actionable strategies, specifically highlighting patient engagement programs and technology partnerships, that healthcare executives can deploy for impactful HPV vaccination outreach. Operational, clinical, and strategic leaders at large healthcare organizations and those focused on population health initiatives will not want to miss this expert panel.

Speakers

• Thomas J. Schuch, MD, MPH, Chief Information Officer, South Boston Community Health Center
• Jay W. Lee, MD, MPH, FAAFP, Medical Director, Integrated Health Partners of Southern California
• Daniel Faden, MD FACS, Department of Otolaryngology-Head and Neck Surgery, Harvard Medical School Division of Head and Neck Surgical Oncology, Mass Eye and Ear/Mass General Hospital Broad Institute of MIT and Harvard
• Moderated by Kate Behan, MD, FACP, Chief Medical Officer, Arcadia

Unlocking big data is critical to achieve healthcare transformation — which means healthcare organizations require access to high-quality and accurate data, as well as the right governance, infrastructure, and analytics to make the data effective and useful.

We'll discuss:

• The results of a timely survey conducted by HIMSS and Arcadia and how healthcare decision makers utilize data today and plan to utilize it in the future
• The transformative value of healthcare technology, and the challenges with implementing these solutions
• How to aggregate and analyze information for data-driven outcomes in healthcare, and employ fit-for-purpose workflow tools at all levels of an organization

One of the biggest drivers of change in the healthcare industry is new technology like ChatGPT and other advances in AI. These tools can transform the way we operate, deliver care, and make impactful decisions. But, these are not without concern. Some worry AI algorithms could develop a bias, leading to unequal access to care. Or they could replace a human’s expertise, leading to a less personalized experience. Despite these concerns, AI and new tech have the potential to transform healthcare. We'll go over:

• How top healthcare organizations are using AI and other new technologies to deliver care in novel ways
• Why AI will inevitably replace repetitive processes that take providers away from work that really matters
• The ethical quandaries and operational challenges we face in augmenting and automating care
• Specific examples where AI has successfully improved decision-making for care and operational teams

Watch Ben Suster in this engaging discussion with Dr. Rich Parker and Dipu Patel, DMSc, MPAS, PA-C about the digital trends in healthcare that are transforming the way we deliver care. This is a session forward-thinking ACOs, CINs, health systems and hospitals, and payer organizations won’t want to miss.

In this episode, we discuss:

• Why redetermination is more than a simple transaction between state Medicaid agencies and beneficiaries — and how it affects health systems, providers, and insurance companies who provide services to the Medicaid population
• What you can do to identify and educate the Medicaid population in your network and support them in the process to re-enroll for these crucial benefits
• How to create a plan for multi-channel, multi-lingual outreach campaigns to meet patients where they are and give them adequate time to navigate this complex process

In this podcast, we cover:

• Basic strategies for formulating a plan to add SDoH factors into your pop health programs
• From care access and transportation to funding and options — who’s responsible for addressing SDoH?
• The standard metrics for measuring SDoH factors in healthcare, and how to identify and prioritize the most important data for your populations

Join Jennifer Polello, Senior Director of Quality and Population Health at Community Health Plan of Washington and Arcadians Arjun Gosain, Senior Data Analyst, and Linnie Greene, Staff Writer as they put their heads together on this complex topic. They’ll discuss what we know about SDoH, how we're currently using data to improve patient outcomes, and uncover what we need to do to chart a path forward.

According to the Centers for Disease Control and Prevention (CDC), six in 10 American adults have one chronic disease and four in 10 have two or more chronic conditions. Risk adjustment aims to identify and treat these highest risk patients.

Strong patient stratification and care management programs are the best way to close gaps in care, reduce costs, and ultimately achieve better health outcomes. But getting started with risk adjustment isn't always easy — doing it right is even harder.

Beth Israel Lahey Health Performance Network (BILH-PN) began a small pilot program to see if they could make an impact. They took a creative approach to risk in their network by proactively reaching out to get patients in the office and using refined documentation processes to track progress. Their small pilot program is now expanding.

Join Arcadia's VP of Enterprise Partnerships Anna Basevich for an engaging discussion with Victoria Smith, Director of Process Improvement & Design at Beth Israel Lahey Health Performance Network, and Maria Mann, Clinical Product Manager at Arcadia.

The first 30 days after patient discharge are critical.

According to CMS, nearly one in five Medicare patients discharged from a hospital — approximately 2.6 million seniors — are readmitted within 30 days, at a cost of over $26 billion every year. Transitional Care Management (TCM) aims to deliver proper care to patients and can reduce readmission by a staggering 86%. But disparate data can delay results for healthcare organizations implementing TCM programs.

AMITA Health Care Network (AHCN), a top-rated Clinically Integrated Network (CIN) in Illinois, was able to succeed in TCM by empowering their population health teams with data analytics.

How? AMITA aggregated ADT data for near real-time identification of discharged patients, and leveraged Arcadia’s Vista Dashboards to track performance and optimize results.

Register to learn:

• Why Transitional Care Management (TCM) is foundational to quality patient care
• How AMITA Health Care Network measures TCM to better serve their population and improve health outcomes
• How you can empower your clinical and operational teams to succeed at TCM

Join Arcadians Andrea Purjue and Jake Hochberg for an insightful discussion with Michele Winiarz of AMITA Health on importance of TCM.