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@charliejhadley
Created September 7, 2022 13:32
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xaringan -> quarto
/*-- scss:defaults --*/
$inverse-background-color: #272822;
$presentation-font-size-root: 28px;
$presentation-heading-color: #e10020;
$heading2Size: 55px;
$heading3Size: 45px;
$heading4Size: 35px;
$link-color: #e10020;
---
title: "Week 5: Healthcare Data - Surveys"
subtitle: ""
author: "<large>Charlotte Hadley</large>"
format:
revealjs:
theme: "css/lecture-styles.scss"
---
### Surveys are an indispensible part of healthcare
:::: {.columns}
::: {.column width="50%"}
There are lots of absolute quantitative measures in healthcare [datascience]
- Patient wait times
- Morbidity
- Biological samples
- Physiological health measurements
- Device-based measurements
- Anthropometric measurements
- Sensory measurements
:::
::: {.column width="50%" .fragment fragment-index=2}
But these measures **on there own** are often meaningless...
- ... for understanding patient experiences
- ... for tracking patient outcomes
- ... for medical trials
- ... for designing medical devices
We need to understand these measures in context of the patient/device/intervention.
:::
::::
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