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Unlocking Healthcare Mysteries with Healthcare Data
Joy He
Joy He
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Unlocking Healthcare Mysteries with Healthcare Data

Dive into the world of healthcare data analytics by exploring patterns and insights hidden within various healthcare data to understand how technology is revolutionizing patient care and healthcare services.

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Apply now
Fridays
 at
1:00
P.M.
 ET /
10:00
A.M.
PT
8 weeks, 2-3 hours per week
Beginner
No experience required
No experience required
Some experience required
Degree and experience required

Description

In this project, you will use the hat of an entry-level data analyst, conducting exploratory data analysis on healthcare data to create visualizations and provide insights on healthcare resource utilization. Under the supervision of an experienced industry expert, you'll analyze healthcare utilization patterns, identify demographic trends, encounter frequencies, and utilization metrics to improve patient care and resource allocation. You'll become familiar with data analytical processes and tools such as EDA techniques, defining and calculating key metrics, and more. All this will take place in an environment that simulates the operations of a real data analytical team.

Session timeline

  • Applications open
    August 1, 2024
  • Application deadline
    August 25, 2024
  • Project start date
    Week of July 8, 2024
    Week of
    September 9, 2024
  • Project end date
    Week of

What you will learn

  • Understand healthcare data, retrieve and preprocess data for analysis.
  • Conduct exploratory data analysis on messy healthcare data
  • Calculate utilization metrics and analyze demographic variations.
  • Visualize temporal trends and identify patterns in healthcare utilization.
Build Projects are 8-week experiences that operate on a rolling basis. Selected participants engage in weekly live workshops with a Build Fellow and 2-15 other students.

Project workshops

1
Introduction to Healthcare Data and Project Overview
2
Data Ecosystem
3
Exploratory Data Analysis (EDA) I – Environment Set up and Data Retrieval
4
Exploratory Data Analysis (EDA) II – Data Cleaning and Wrangling
5
Healthcare Utilization Metrics
6
Statistical Analysis
7
Data Visualization
8
Final Project Presentation and Discussion

Prerequisites

  • Basic Statistics: Understanding of basic statistical concepts such as mean, median, mode, standard deviation, probability, and hypothesis testing.
  • Mathematics: Proficiency in algebra and basic calculus.
  • Programming Fundamentals: Basic knowledge of at least one programming language, commonly Python or R.
  • Data Management: Familiarity with basic data handling and manipulation techniques, often using tools like Excel, SQL, or similar databases.

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About the expert

Joy is a healthcare informatics professional with three years of expertise, particularly in FHIR data. After earning her Master’s degree in Information Science from the University of Michigan - Ann Arbor, she joined 1upHealth, where she has been instrumental in advancing healthcare technology. Joy is deeply passionate about the evolution of healthcare tech and is dedicated to improving the future of healthcare in the United States. As an advocate for the integration of cutting-edge informatics in healthcare, she collaborates with interdisciplinary teams to develop and implement data-driven strategies that enhance the quality of care and streamline processes.

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