
Healthcare DataWake
People create a recognizable and useful data wake as they navigate through the choppy waters of the American healthcare system. Healthcare DataWake is a healthcare podcast that dives deep into thought-leader discussions and insights to recognize uniqueness as well as similarities so we can become more proactive in care management, clinic trials, operations and deliver better health outcomes for all.
Episodes
5 episodes
Expanding Access: How DTC Models and SDOH Data Are Reshaping Life Sciences
Adam and Damion Nero, Head of Data Science, U.S. Medical at Takeda, explore how the life sciences industry is rethinking access by embracing direct-to-consumer (DTC) approaches and integrating social drivers of health (SDOH) data. Unpack the sh...
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Season 1
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Episode 5
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23:55

Managing Healthcare Challenges in a Time of Uncertainty
Adam and Joel White, President and CEO of Horizon Government Affairs, discuss the role data and technology can play in lowering costs, expanding access and improving outcomes in today's unpredictable regulatory environment.
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Season 1
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Episode 4
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30:02

Expanding Patient Engagement, Health Literacy and Access to Care with Reliable Contact Data
Adam hosts Ken Walters, COO of Community Care Plan, to discuss the need for up-to-date, clean and reliable contact data, and how it can help solve some of the biggest barriers to patient engagement.
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Season 1
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Episode 3
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24:02

We Need More Diversity and Cultural Humility in Leadership, Clinical Roles and Trials
Mary Stutts, CEO of the Healthcare Businesswomen's Association joins Adam Mariano, LexisNexis Risk Solutions President & GM, Healthcare, to discuss the need for diversity in healthcare.Listen in as Mary and Adam discuss the need for...
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Season 1
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Episode 2
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20:26

A Balancing Act: Protecting Your Healthcare Data Without Limiting Your Access
New! Healthcare DataWake PodcastEach episode will feature conversations between our host and President & GM of LexisNexis Risk Solutions, Healthcare Adam Mariano and industry leaders and customers.
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Season 1
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Episode 1
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27:05
