• Politics
  • Diversity, equity and inclusion
  • Financial Decision Making
  • Telehealth
  • Patient Experience
  • Leadership
  • Point of Care Tools
  • Product Solutions
  • Management
  • Technology
  • Healthcare Transformation
  • Data + Technology
  • Safer Hospitals
  • Business
  • Providers in Practice
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  • AI & Data Analytics
  • Cybersecurity
  • Interoperability & EHRs
  • Medical Devices
  • Pop Health Tech
  • Precision Medicine
  • Virtual Care
  • Health equity

Podcast: What's New with Data Book?

Podcast

Get to know the new voices behind Data Book.

Like healthcare, times are changing here at Inside Digital Health™ and Data Book.

On the first episode of season five, hosts Jack Murtha and Tom Castles say their goodbyes and hand off the microphones to Paul Abrams, MBA, director of Health Care Specialty Group at MJH Life Sciences, and me.

Data Book first launched in March 2018 and featured a story about a hacker collective called the Dark Overlord. Murtha and Castles would tell a story, interview a guess and say goodbye with some words from a health IT leader.

Over time, the two tweaked the formula and the podcast entirely, and it appeared to show off. Since Data Book first aired, the podcast has had 10s and 10s and 10s of thousands of listens and has featured some top health IT thought leaders, including Eric Topol, M.D., David Albert, M.D., Rasu Shrestha, M.D., MBA, Geeta Nayyar, M.D., MBA.

Now, it’s time for new hosts and new stories. Whether it’s interviews on the conference floor, learning more about new medical devices entering the space or diving into health IT news, Paul and I look forward to continuing to update Data Book’s dedicated listeners.

In this episode, we wanted to let our audience get acquainted with who we are and our plans for Data Book.

Don’t forget to follow @RosenfeldSamara and @Paul_Abrams8 to connect with us.

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Data Book Podcast: The 'Not Glamorous' Part of the Job

Data Book Podcast: Rediscovering Healthcare's 'Why' With Rasu Shrestha

Why Health Systems Should Build Their Own AI Models

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