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.

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…

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

The 4 V’s

+ + = ?

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

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

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

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

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

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.

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

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

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

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

Thank you !

Our Sources Future, pros and cons, use case efforts https://www.igi-global.com/chapter/big-data-in-healthcare/110428 [2] Sports phrases: https://www.sportsfeelgoodstories.com/sports-slogans-for-teams/ [3] pros and future of BD: https://www.fingent.com/blog/5-ways-big-data-is-changing-the-healthcare-industry [1] how big data is changing healthcare / what is big data: https://www.forbes.com/sites/bernardmarr/2015/04/21/how-big-data-is-changing-healthcare/#c17d78287302 [4] use case: https://www.ibm.com/watson/health/ [5] Overview https://www.healthcatalyst.com/big-data-in-healthcare-made-simple [7] how healthcare changes (Pros) https://www.fingent.com/blog/5-ways-big-data-is-changing-the-healthcare-industry [8] The role of big data in healthcare http://dataconomy.com/2018/04/the-role-of-big-data-and-mobile-apps-in-healthcare [9] Big data analytics in healthcare: promise and potential https://www.biomedcentral.com/track/pdf/10.1186/2047-2501-2-3?site=hissjournal.biomedcentral.com [10] Big data for health recent developments (graphs, scientific text) https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7154395 [11] 9 Examples of Big Data Analytics in Healthcare That Can Save People https://www.datapine.com/blog/big-data-examples-in-healthcare/ [12]