1. Big Data in Healthcare Big brother is watching your vital signs
By Isabelle Putz
& Nikolas Boosfeld
July 18th, 2018
Gib einen Untertitel durch Tippen ein.

2. Today´s agenda What’s big data exactly? How does it effect healthcare?
Use cases
How does healthcare change through big data?
Pro’s and con’s
What our future might look like…

3. ?

5. WHEN (what time)
TO WHO (what facebook friend)
WHERE (location)

6. The 4 V’s

7. + +
= ?

8. Science and Research Origin of the disease “predictive analysis“
+ HEALTHCARE
[11]
Origin of the disease
“predictive analysis“
Studies in real-time

9. Improve medical infrastructure for rural areas
+ HEALTHCARE
Have access to huge amount of data
Connect with specialists around the world
Connect via app with doctor
Las Yungas, Bolivia 2017

10. Pre-diagnose from home
+ HEALTHCARE
Make room in waiting rooms
Reduce waiting times
Reduce costs

11. + HEALTHCARE
Avoiding diagnose errors by the doctor because of treatment suggestions based on data

12. Use case 1. Hospital Volume of data:
Example: J.J Watt: Houston Texans - position: defensive end
—> illness related information have to be treated accordingly in order & store in proper to achieve the best possible result

13. Use case 2. partnership between Apple & IBM
Created six different health apps: 1.Hospital Lead 2.Case Manager 3.Hospital MD 4.Hospital RN 5.Hospital Tech 6.Message for Healthcare
—> AIM: “The focus – whether it is a nurse, physician or care manager – is to leverage data to deliver insight that enables the employee to take the best course of action and be more proactive.” - Miller-Sylvia, vice president of IBM MobileFirst for iOS Solutions.

14. Use case 3. Holy Grail of medicine
A cure for cancer
“OncologyCloud“:
—> takes data of patients with cancer and make their diagnosis and treatment available to clinicians to further their study

15. Prevention is better than cure
cure disease
predict epidemics
improve quality of life
apps used as pedometer
and calorie counter
share data with your doctor
Prevention is better than cure
Identify problems before they happen

16. Pro’s and con’s Health tracking Reducing cost /wait time
Assisting high risk patients
Preventing human errors
Advancements in healthcare sector
security
replacing doctors
fragmented systems and databases
semantic differences
legal barriers

17. What our future might look like..
Believe it! Achieve it!
Big Data..
is a catalyst to the viability of the healthcare systems
needs to derive predictive insights
for improved business operations & decision support
allows predictive, contextual, agile,
real-time exchange of information across systems
—> .. is there, but we have to find ways to exploit them and produce the desired valuable knowledge

18. Thank you !

19. Our Sources Future, pros and cons, use case efforts
[2]
Sports phrases:
[3]
pros and future of BD:
[1]
how big data is changing healthcare / what is big data:
[4]
use case:
[5]
Overview
[7]
how healthcare changes (Pros)
[8]
The role of big data in healthcare
[9]
Big data analytics in healthcare: promise and potential
[10]
Big data for health recent developments (graphs, scientific text)
[11]
9 Examples of Big Data Analytics in Healthcare That Can Save People
[12]