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Healthcare projects that focus on data analytics and visualization are growing in popularity, though they can be difficult to locate. This is due in part to healthcare data’s sensitive nature. However, there are a number of ways to access this data if you know where to look. The healthcare industry is ripe with opportunities for those with the skills to analyze and visualize data. With the right tools, healthcare data can be used to improve patient care, identify trends, and even predict outbreaks.

With healthcare data, we can detect frauds, study disease outbreaks and so much more. In this article, we will be exploring some healthcare projects that use data to save lives. We will also be taking a look at the software used to get the job done, from Tableau to Python and R.

Data Analytics: Healthcare Projects

The healthcare industry is one of the most complex industries in the world. The amount of data that healthcare providers must manage on a daily basis is staggering. From patient data to insurance claims data, healthcare providers must be able to quickly and easily access the data they need in order to provide the best possible care for their patients.

In addition to the complexity of healthcare data, the importance of data analytics cannot be overstated. Data analytics allows healthcare providers to use data to make informed decisions about patient care. By analyzing healthcare data, providers can identify trends, predict outbreaks, and improve patient care. Data analytics is essential for healthcare providers, and the healthcare industry as a whole, in order to keep up with the ever-changing landscape of healthcare.

Healthcare data can be analyzed with a variety of software and tools. Some of the most popular options include Tableau, Python, R, and even Excel. Here’s a brief overview of each:

  • Tableau is a data visualization tool that is widely used in the healthcare industry. Tableau allows healthcare providers to quickly and easily visualize healthcare data. This makes it easy for providers to identify trends and improve patient care.
  • Python is a programming language that is popular for data analysis. Python allows healthcare providers to do more complex analysis of healthcare data. This can help providers to identify patterns and predict outbreaks.
  • R is a programming language that is also popular for data analysis. R is specifically designed for statistical analysis, which makes it ideal for healthcare data. Healthcare providers can use R to analyze healthcare data and find trends that would otherwise be difficult to detect.
  • Excel is a spreadsheet program that is commonly used in healthcare. Excel can be used for data analysis, but it is not as powerful as some of the other options. However, Excel is still a useful tool for healthcare providers who need to quickly and easily access healthcare data and create simple reports and graphs.

Later in the article, we’ll look at examples of each software and how they’re being used for healthcare projects.

Data Visualization: Story Telling with Healthcare Data

Data visualization is the process of transforming data into a graphical representation. This allows healthcare providers to see trends and patterns that would be difficult to detect with just text or numbers. Data visualization makes it easy for healthcare providers to understand complex data, and this can help them to improve patient care.

Tableau and Power BI are both popular data visualization tools that healthcare providers can use to tell stories through data. Tableau is a popular tool for creating visualizations, and Power BI is a Microsoft tool that allows users to create interactive reports.

Both Tableau and Power BI are used to create graphs, charts, and other visuals that help healthcare providers to understand data. Tableau is especially popular for healthcare data because it is easy to use and provides a variety of templates that healthcare providers can use to get started quickly. Tableau and Power BI are both useful tools for healthcare providers who want to tell stories through data.

Below are a few project that are powered by Tableau and Power BI healthcare projects.

Tableau Healthcare Projects

  1. Maine Healthcare Utilization: Hospital Inpatient & Outpatient by HSRI’s Population Health Team
  2. HEALTHCARE – Medical Visits – Wait Time Dashboard by Tableau Accelerators
  3. Diabetes Healthcare by Suresh Mehta
  4. Vaccinating the United States – Urban Institute by HealthDataViz
  5. Detecting Frauds in Healthcare by Nishant
  6. Health Data Breach 2009-2020 by Dennis David

Power BI Healthcare Project

  1. Understanding our progress against COVID-19 by Microsoft
  2. Analyzing Healthcare Open Data with Power BI by Microsoft

Machine Learning and IA: Using Historical Data to Tell the Future

Machine learning is a type of artificial intelligence that allows healthcare providers to predict outcomes and trends. Machine learning can be used to analyze healthcare data and find patterns that would be difficult to detect with just human intuition. This makes machine learning an invaluable tool for healthcare providers who want to improve patient care.

Machine learning has been used in a variety of healthcare projects. For example, machine learning has been used to predict the spread of diseases, identify patients at risk for hospitalization, and predict patient outcomes. Machine learning can also be used to improve healthcare delivery. For example, machine learning can be used to optimize healthcare delivery schedules and allocate resources more efficiently.

Python and R are both popular programming languages that healthcare providers can use for data analysis. Python is a versatile language that healthcare providers can use for a variety of tasks, including data analysis. R is specifically designed for statistical analysis, which makes it ideal for healthcare data.

There’s a long standing debate over which language is better for data analysis. Both programing languages have their pros and cons. However, healthcare providers should choose the language that they’re most comfortable with.

Below are a few project examples that use Python and R for conduct machine learning using healthcare projects.

Python Healthcare Projects

  1. Parkinson’s Disease Detection – AI in Healthcare Using Python by Computer Science
  2. Heart Disease Detection Using Python And Machine Learning by Computer Science
  3. Breast Cancer Detection with Python by NeuralNine

R Healthcare Project

  1. Using R to Analyze COVID-19 | R Programming Project by Tech Tribe
  2. Introduction to R for Medical Data by R Consortium
  3. Healthcare Costs – Claims Data in R by MIT OpenCourseWare