Description: This session series is sponsored by Zelis Shifting utilization of health services to efficient and high-value providers presents an opportunity to reduce harmful cascades of wasteful spending, ultimately freeing up funds for additional high-value services that will improve quality and member satisfaction. Identifying the right providers to put at the center of networks is challenging for any health care organization. How can you objectively determine which providers are delivering the greatest value when compared to their peers? And once those providers are identified, what’s next? Join Zelis and their partner HealthCorum to review a case study on a shared services organization where they leveraged statewide multi-payer claims data to produce provider level analytics, allowing for transparency into provider practice patterns at a granular level. By attending this session, you will be able to: - Create a fair methodology to benchmark providers. - Develop metrics and scores to identify high-value providers. - Produce actionable data to be used for network optimization strategies.

Description: Who we are as people and who we become over time is entirely determined by the habits that we practice. And, habits are the fabric from which company culture is made. However, habit are hard to change, because we misunderstand what it really takes to change habits. Why? Because human beings don't have habits - habits have human beings. If you're curious about what this means, have an interest in the science of Context Design, and want to learn how to change your own habits, as well as create cultures of high performance, join this session. Learning outcomes include: - Understand the 'golden rules of habit change' and the many myths around habits (e.g., that they take a certain number of days to create). - Learn about the science of Context Design: how to create habits, at scale, over time. For yourself and your team. - See why 'human have habits' misrepresents reality and why it's more accurate to say 'habits have human beings!'

Description: This session on Innovations in Underwriting will explore the latest advancements in underwriting technology and methodologies. It will focus on how these innovations are transforming the insurance industry, making underwriting processes more efficient, accurate, and customer-friendly. Topics will include the integration of artificial intelligence (AI), machine learning, and big data analytics into underwriting workflows. Additionally, we'll discuss emerging trends in risk assessment, automation of underwriting tasks, and the implications of these changes for underwriters and insurance professionals. Attendees will have the opportunity to learn from industry experts and participate in discussions on how these innovations are reshaping traditional underwriting practices. Learning Outcomes: - Gain an understanding of the latest technological advancements impacting underwriting, including AI, machine learning, and data analytics. - Learn how these innovations can streamline underwriting and pricing processes, improve accuracy, and reduce costs. - Explore new risk assessment methods and discover how automation is changing the underwriter's role. - Identify best practices for integrating innovative technologies into existing underwriting and actuarial pricing frameworks.

Description: Come explore an in-depth overview of telehealth to set context and navigate the continuing expansion of telehealth and its integration into the healthcare delivery system. You will examine the forces that shape telehealth offerings and expect a view of the possible futures of this evolving modality.

Description: Both LDTI and IFRS 17 have introduced numerous new metrics with most companies having only crossed the finish line, just complying with what's needed for reporting due the complexity and large amounts of data required to simply comply. How do you leverage all the work you did to get proper business insights across the organization that tie back to these reporting metrics? This presentation covers a perspective of pain points faced in getting over the the hurdle in complying with LDTI and IFRS 17, upcoming hurdles, emerging KPIs, as well as how to best manage the data, technology, and processes to produce the analysis around these KPIs efficiently.

Description: Generative AI has become a hot topic since ChatGPT became one of the most well-known Machine Learning models ever. There are many different generative models out there, and in this presentation, we explore the possibilities, benefits, reservations, and alternative use-cases of using Generative Adversarial Networks to generate health insurance claims data.

Description: This session will examine bias from a social science perspective. It will discuss the three types of systemic biases using the National Institute of Standards and Technology (NIST) model. The NIST model details the three types as historical bias, societal bias, and institutionalbias. The session will also provide several examples of each type to provide a framework for identifying the social structure of bias.

Description: Discuss various analytics and use cases using payer published reimbursement contract data under federal mandate of Transparency in Coverage. These contract rates are publicly available in machine readable format (MRF) starting July 1, 2022, and refreshed monthly. By attending the session, you will have a better understanding of the state-of-art development and analytics using MRF data, including the technologies used to extract and analyze huge MRF files, validation and limitations of published rates, and their use cases.

Description: The InsurTech industry continues vibrant activity. Some areas of focus include transformation of the underwriting process, new data sources being used, focus on the consumer, automation and more. By the end of the session, attendees will understand some of the latest trends in InsurTech that are impacting the life insurance industry.

Description: "Examine the exciting possibilities for artificial intelligence (AI) in health care and its potential to transform the patient journey. You will learn about the various touchpoints where AI is being applied along the patient/care journey, including provider search tools, claims analysis, and fraud detection. By attending the session, you will be able to: Have a comprehensive understanding of the opportunities and challenges presented by AI in health care Evaluate the potential impact of AI on their own organizations Be equipped with strategies for effectively implementing AI solutions and maximizing their benefits for patients, providers, and payers"