How to Form A Survey Effectively

This is a question that frequently enters the mind of non-profit program managers, healthcare professionals, product managers, school principals, the list goes on. The key word to this title, however, is how does one do this effectively? Sure, asking questions is easy, but how do you know they’re even the right questions?

The power of remote monitoring through machine learning

As an asthma forecasting company, we strive to reduce the burden of asthma so that patients can better prepare for the possibility of an exacerbation. We do so based on forecasting asthma control based on weather, pollution, previous spirometry measures, and most recently, previous days of asthma control.

Race & Spirometry (Part IV)

Impact

Today, in the final article of the series, we’ll focus on the impact of these factors.

Race & Spirometry (Part III)

Reducing Bias in Data by Understanding Its History

Reducing Bias in Data by Understanding Its History

Race in Spirometry (Part II)

The Predictive Formulas

A little over a week ago I summarized some of America’s history that disadvantaged marginalized racial groups. Today I’ll dive into how spirometry equations are created, and next week we’ll dive into how history embeds itself into spirometry as well.

Race & Spirometry (Part I)

Race & Medicine

When I started working at VitalFlo, I noticed in the universally used algorithms developed from clinical research that exist for predicting lung health, race or ethnicity is a necessary factor for the equation. As a healthcare company, we have an ethical responsibility for understanding the nuance of how our product is used, its effects on the health of our patients, and the implications of the readings of our product puts forth.