Team:Purdue/Human Practices

Bootstrap Example

Human Practices

Overview

Our work in human practices focused on answering two questions: will our diagnostic test responsibly impact the world in a positive way, and if so how can we best tailor our design to the needs of those seeking to use it. To answer these questions, we sought the advice of professionals specializing in paper-based assays and the opinions of those who would feasibly come into contact with the test at each step of the diagnostic process. The insight we gained from these interactions demonstrated that Yeast ID has a high potential to responsibly improve the lives of those suffering from yeast infections. By listening to feedback from these key stakeholders we were also able to identify and correct previously unforeseen problems in assay design, propelling us closer to our goal of making as large and positive as possible. Our human practices process consists of six basic steps.

Step 1

Follow up on findings from literature review by investigating diagnosis and treatment processes first hand.

Who we talked to:

Step 2

Developing our Paper-Based Assay

Throughout the process of building our paper-based assay, we consulted professionals who helped us change our assay to better fit the needs of healthcare professionals and patients everywhere.

Who we talked to:

Step 3

Learn how to Relay our research to the public

Communicating our research and transporting or assay to the public is important when making our assay more globally accessible.

Who we talked to:

Integrated HP:

Step 4

IRB-approved survey

A major part of our research was finding a way to make the assay more user-friendly than current brands. In order to do so we conducted an IRB survey that used Amazon Mechanical Turk that helped us receive feedback from a diverse demographic range.

Click here to learn more

Step 5

Collaboration

A major part of our research was finding a way to make the assay more user-friendly than current brands. In order to do so we conducted an IRB survey that used Amazon Mechanical Turk that helped us receive feedback from a diverse demographic range.

Click here to learn more