Big Data in Healthcare

Big Data in Healthcare

Presentation

By Rainey Al-Rousan

Hassan, 2025

What is Big Data?

• Large and hard to understand datasets.
• These data sets can be used to reveal patterns, trends, and associations.
• The data can sometimes be:

-organized -semi-organized -unorganized

Big Data Examples

Big data can help us to predict disease and identify high-risk patients

Big data can be used to analyze large amounts of information like:

+ info

Healthcare organizations use this data to ID patterns in:

Hassan, 2025

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Hassan, 2025

Puting it into practice

• Big data allows for large data sets to be analyzed to identify patterns and trends in patient health, treatments, and diseases.

- This shows trends and helps guide decisions in practice.- Similar to sepsis alerts tracking vital signs and labs.

• When data is shared using interoperability, it allows for more healthcare systems to be connected and share data

- This helps to keep patients safer and improve outcomes by having access to all of their charts and past medical history- Allowing hospitals to data from others, can help with alerting the new hospitals for falls, allergies, sepsis, etc.

• Massachusets General Hospital has put together a program to help prepare the future workforce for this by tackling the challenges and implementing change.

Hassan, 2025

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References

• Healthcare providers can analyze large data sets from the EHR and look at patient histories.

• This can help the provider identify trends and patterns individually in each patient.

• This allows for earlier treatment and improved patient outcomes.

(Hover over the images for real-life examples)