OneDigital Employer Advisory - Moneyball Benefits Podcast 5: Hard-Dollar Savings with Population Health Management

Moneyball Benefits Podcast 5: Hard-Dollar Savings with Population Health Management

08/07/23 • 39 min

If you're like most employers, you're constantly making decisions about the best way to allocate scarce resources. This is a difficult and high-stakes task that has only been made more important by rising costs, a down economy, and a red-hot labor market. OneDigital is here to help with the Moneyball Benefits Podcast.

In this series, Director of Compliance and Innovation Scott Wham takes inspiration from the "Moneyball" philosophy that revolutionized professional sports in the 2000s and applies it to the world of human capital management. In episode five, Scott is joined by National Health and Wellbeing Practice Leader Shira Wilensky to talk about how a modernized population health management strategy can save employers money.

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Moneyball Benefits Podcast 4: Taking Control with Reference-Based Pricing

In this series, Director of Compliance and Innovation Scott Wham takes inspiration from the "Moneyball" philosophy that revolutionized professional sports in the 2000s and applies it to the world of human capital management. In episode four, Scott is joined by Director of Analytics Cassandra Schlarb to discuss one of the most radical and effective ways that organizations can reign in health costs.

Next Episode

OneDigital Debates: Should Employers Encourage the Use of AI at Work?

Employers were not prepared for the sudden consumer-level debut of large language model (LLM) programs such as ChatGPT. As these types of products become increasingly popular, many corporations have opted for an outright ban on their use in the workplace. Others have adopted a more lenient philosophy and permitted their employees to tap into these programs in the hopes of realizing significant productivity gains. In this episode, we put two lawyers and compliance experts head-to-head to debate the finer points of these two disparate approaches.

Some of the big questions that our debaters tackle in this episode are listed below:

How do you respond to concerns about biases and inaccuracies in AI writing? Should all AI-generated materials need to be proofread by a human?
In the long run, is it practical for employers to regulate this type of tool?
How do data privacy and security concerns fit into this conversation? Is it possible that AI programs could acquire and disseminate confidential employer information?
Even if these tools become exponentially better in the years ahead, are there some tasks that should absolutely never be replaced by AI?

If you like this podcast, check out the previous episode of OneDigital Debates: Do Pay Transparency Policies Work?