HOUSTON INNOVATORS PODCAST EPISODE 80

Newly appointed innovation leader calls for more health care collaboration in Houston

Allison Post, manager of innovation partnerships at the Texas Heart Institute, joins the Houston Innovators Podcast to share what she's focused on in cardiac innovation. Photo courtesy of THI

Allison Post is a professional dot connector for the Texas Heart Institute. Located in the Texas Medical Center and founded in 1962, THI has long had a history of innovation — from Denton Cooley, THI's founder, performing the first artificial heart implementation in 1970.

Now, Post — who was appointed to a newly created position of manager of innovation partnerships — is focused on working with THI's latest generation of cardiac health innovators. She works internally to foster and support THI's brightest inventors as well as externally to make sure the institute is bringing in the best new technologies out there to its patients.

"The whole mission of the Texas Heart Institute is to help our patients. If that means that someone else has an incredible idea we want to jump onboard and bring it to people," Post says in this week's episode of the Houston Innovators Podcast.

Post, who has a bioengineering background and has worked on both sides of the table as an entrepreneur and a startup mentor, is looking to support breakthrough cardiac innovations within stem cells, pharmaceuticals, medical devices, and more. And unfortunately, the cardiac health space has an increasing need to develop new health care solutions.

"Because of the growing burden of heart disease, heart failure, coronary artery disease, the unfortunately long list of things that can go wrong with someone's heart means the pressing need for therapies is just growing," she says on the show. "We're trying to keep up and break into things that people haven't done a lot of work on, such as women's heart health."

Another factor in Post's role, which she's had since last fall, is to bring THI further into both the TMC's innovation efforts as well as the greater Houston innovation ecosystem — as well as beyond. To her, Houston has a huge opportunity to lead health care innovation.

"It makes no sense that we aren't the health care leaders yet in med tech development. It should not be Boston, San Francisco, or Minneapolis. It should be Houston," Post says. "We have everything we need to do it. We just need to bring it all together."

The key to getting there, she says, is further collaboration. If there's one thing the world has learned about health care innovation from COVID-19, it's that when experts are rallying behind and collaborating on solutions, the speed of development is much faster.

"The more minds we have the better the solutions I going to be," she says.

Post says that she hopes her work at THI can inspire other institutions to collaborate ‚ since everyone has the same goal of helping patients.

"I only see just phenomenal things for Houston, and what I really want is for the Texas Medical Center to become even more interconnected. We've got to be able to transfer ideas and thoughts and intentions seamlessly between these institutions and right now there are a lot of barriers," Post says. "And I really think Texas Heart is hopefully going to serve as an example of how to take down those barriers."

Post shares more about what she's focused on and where THI is headed on the episode. Listen to the full interview below — or wherever you stream your podcasts — and subscribe for weekly episodes.

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How we describe inequality is significant because it impacts our view of who causes it and how society should address it. Photo via Getty Images

Look closely at any news article about inequality and you will quickly notice that there is more than one way to describe what is happening.

For example:

“In 2022, men earned $1.18 for every dollar women earned.”

“In 2022, women earned 82 cents for every dollar men earned.”

“In 2022, the gender wage gap was 18 cents per dollar.”

When pointing out differences in access to resources and opportunities among groups of people, we tend to use three types of language:

  1. Advantaged — Describes an issue in terms of advantages the more dominant group enjoys.
  2. Disadvantaged — Describes an issue in terms of disadvantages the less dominant group experiences.
  3. Neutrality — Stays general enough to avoid direct comparisons between groups of people.

The difference between these three lenses, referred to as “frames” in academic literature, may be subtle. We may miss it completely when skimming a news article or listening to a friend share an opinion. But frames are more significant than we may realize.

“Frames of inequality matter because they shape our view of what is wrong and what should be fixed,” says Rice Business Professor Sora Jun.

Jun led a research team that conducted multiple studies to understand which of the three frames people typically use to describe social and economic inequality. In total, they analyzed more than 19,000 mainstream media articles and surveyed more than 600 U.S.-based participants.

In Chronic frames of social inequality: How mainstream media frame race, gender, and wealth inequality, the team published two major findings.

First, people tend to describe gender and racial inequality using the language of disadvantage. For example, “The data showed that officers pulled over Black drivers at a rate far out of proportion to their share of the driving-age population.”

Jun’s team encountered the same rhetorical tendency with gender inequality. In most cases, people describe instances of gender inequality (e.g., the gender pay gap) in terms of a disadvantage for women. We are far more likely to use the statement “Women earned 82 cents for every dollar men earned” than “Men earned $1.18 cents for every dollar women earned.”

"We expected that people would use the disadvantage framework to describe racial and gender inequalities, and it turned out to be true,” says Jun. “We think that the reason for this stems from how legitimate we perceive different hierarchies to be.” Because demographic categories like gender and race are unrelated to talent or effort, most people find it unfair that resources are distributed unevenly along these lines.

On the other hand, Jun expected people to describe wealth inequality in terms of advantage rather than disadvantage. The public typically considers this form of inequality to be more fair than racial or gender inequality. “In the U.S., there is still a widespread belief in economic mobility — that if you work hard enough, you can change the socioeconomic group you are in,” she says.

But in their second major finding, she and fellow researchers discovered that the most common frame used to describe wealth inequality was no frame at all. We find this neutrality in statements like “Disparities in education, health care and social services remain stark.”

Jun is not sure why people take a neutral approach more frequently when describing wealth inequality (speaking specifically of economic classes outside of gender and race). She suspects it has something to do with the fact that we view wealth as a fluid and continuous spectrum.

The merits of the three frames are up for debate. Using the frame of disadvantage might seem to portray issues more sympathetically, but some scholars point to potential downsides. The language of disadvantage installs the dominant group as the measuring stick for everyone else. It may also put the onus of change on the disadvantaged group while making the problem seem less relevant to the dominant group.

“When we speak about the gender gap in terms of disadvantage, and helping women earn more compared to men, we automatically assume that men are making the correct amount,” says Jun. “But maybe we should be looking at both sides of the equation.”

On the other hand, Jun cautions against using a one-size-fits-all approach to describing inequality. “We have to be careful not to jump to an easy conclusion, because the causes of inequality are so vast,” she says.

For example, men tend to interrupt conversations in team meetings at higher rates than women. “Should we frame this behavior in terms of advantage or disadvantage, which naturally leads us to prompt men to interrupt less and women to interrupt more?” asks Jun. “We really don’t know until we understand the ideal number of interruptions and why this deviation is happening. Ultimately, how we talk about inequality depends on what we want to accomplish. I hope that through this research, people will think more carefully about how they describe inequality so that they capture the full story before they act.”

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This article originally ran on Rice Business Wisdom and was based on research fromSora Jun, Rosalind M. Chow, A. Maurits van der Veen and Erik Bleich.

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