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medicine

A 19th Century Doctor's Visit

Numbers Have History

2021-03-25
By: Jane Rohrer
On: March 25, 2021
In: Christopher Phillips
Tagged: artificial intelligence, Big Data, history, history of science, Information, medicine, precision medicine, sawyer seminar, STEM

Dr. Christopher Phillips on the Histories of Statistics & Data in Medicine On March 17, our podcast hosted Dr. Christopher Phillips, a Professor and Historian of science, medicine, and statistics Carnegie Mellon University—and also a member of our Seminar! Beginning in the Fall of 2019, Dr. Phillips joined in on our public events and Friday lunchtime sessions. On our podcast interview, he shared how joining the Seminar’s interdisciplinary conversations about data and (reference intended!) information ecosystems has revealed the need for and rewards of approaching the same topics from distinct disciplinary and methodological viewpoints. And during our chat, I was alerted over and over to how valuable a historic approach to understanding science is. So often, we view STEM fields and workplaces as intrinsically separate from, and thus competing against, the humanities. This perceived divide has real-world consequences, among them the myths of STEM disciplines as ahistorical or apolitical, and the ultimately dangerous devaluing and underfunding of humanities programs. But Dr. Phillips’ work stands as a testament to the very real insights to be gained from a historical approach to math, science, statistics, and medicine. His current research focuses on the long histories of precision medicine and statistical approaches within. In the wake of the ongoing COVID-19 pandemic, the concept of precision medicine has come under renewed scrutiny. Precision medicine proposes that medical practices ranging from decisions, diagnoses, treatments, and products can be tailored to precise subgroups of patients—taking into account their genetics, environment, and lifestyle, rather than a “one size fits all” approach. For many Read More

Racism, Algorithms, and Blackness in Medicine: A Reading List for Black History Month During a Pandemic

2021-02-17
By: Jane Rohrer
On: February 17, 2021
In: Uncategorized
Tagged: Algorithms, Big Data, black history month, diversity, medical bias, medicine, racism

Happy Black History Month! The Seminar does not have any scheduled guests or podcasts so far this month, and so an opportunity arises to highlight voices & publications beyond our venerable (& growing!) list of participants. During this strange & stressful February, I wanted to make space, as SE (Shack) Hackney did last year, within Information Ecosystems to highlight some incredible and essential work by and about Black voices, and—amid a global pandemic—how race overlaps with medicine, data, and concepts of cure. What follows is an absolutely non-exhaustive reading list on topics of Blackness, medicine, data, and technology. I offer these pieces & voices as profoundly important to how we should be thinking about medicine and technology within our current moment; it is difficult to understate the debt we all owe to Black scholars, activists, scientists, doctors, and organizers, particularly in digitally-oriented spaces—but lending an eye or ear to their essential contributions is a start. And indeed, as the long shadow of COVID-19 extends toward its year-long mark, we must take seriously the disproportionally devastating impact the pandemic has had on our nation’s Black communities. Today, while the rate of hospitalization and death per 10,000 sits at 7.4 and 2.3 for white patients, it is a staggering 24.6 and 5.6 for Black patients (source). Scholars from a wide array of disciplines have over and over confirmed that the U.S. has a long and difficult history of racism in medicine. And, as our own Seminar guests—such as Dr. Safiya Noble and Dr. Sandra González-Bailón—have also confirmed, the Read More

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