Big Health Data the challenges and connections

Transcription

1 Big Data Big Health Data the challenges and connections Dr Trish Williams ehealth Research Group, School of Computer and Security Science,

2 What are we looking at? Context Where to from here? Big Data Sources Key Issues Big Data = Wicked Problem?

3 What are we looking at? Context Where to from here? Big Data Sources Key Issues Big Data = Wicked Problem?

4 Big Data are... data sets that are too large and awkward to collect, store and analyze using traditional database management tools

5 Source: The New Yorker

6 ehealth C-C-C Context Connected Convergent Conformant

7 Convergence?

8 mhealth Transforming usage data into a sustainable mobile health solution How will this change healthcare?

9 What are we looking at? Context Where to from here? Big Data Sources Key Issues Big Data = Wicked Problem?

10 Sources

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12 Clinical information systems EMR data Other sources structured and unstructured & including images Government databases Research databases Literature Social data network analysis, crowdsourced

13 What are we looking at? Context Where to from here? Big Data Sources Key Issues Big Data = Wicked Problem?

14 Big Data and Analytics for Health

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16 Convergence in Healthcare => Big Data New phenomenon for healthcare Clinical care use? Big data analytics

17 What are we looking at? Context Where to from here? Big Data Sources Key Issues Big Data = Wicked Problem?

18 Issues

19 Source: Haas, L. IBM Almaden Research Centre, HISA Big Data 2013 Conference Melbourne Presentation

20 Key Issues Discoverability, Integration, Interoperability Data quality, reliability, and completeness Data heterogeneity Analysis Uncontrolled data collection Reliability of inferences Algorithmic illusion People skill (lack of) -> false conclusions

21 Houston we have a problem. In 2010 we humans generated more bits of information than there are stars in the knowable universe. In 2009 humanity created more data than we have in all of human history. Source: Fassett, R. HISA Big Data 2013 Conference Presentation

22 Challenges Volume Managing the data information lifecycle and storage Variety What are looking for? Velocity Controlling the collection when it is coming at you so fast! Veracity Can we control the data uncertainty and still define our requirements? Value How to decide what we need; where do source what we need; and what is worth keeping?

23 What are we looking at? Context Where to from here? Big Data Sources Key Issues Big Data = Wicked Problem?

24 Where to from here?

25 Behavioural Geolocation/ Tracking

26 Uses Influenza Tracking

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28 Public Health Epidemiology Infectious Disease informatics (trends) and outbreak detection Integration of data from multiple sources Mapping HIV/Aids programs US Spatial Variation

29 Social Media Data mining trends (usually for marketing) Healthcare analytics THE next big thing in healthcare - consumer and provider

30 Joined up thinking. Population data Data linkage Semantic consistency Genomic transformation - omics with everything (genomics, microbiomics, proteonomics)

31 Extraordinary potential Identifying new correlations Health informatics/analytics v bioinformatics Google Flu Trends (predictive/proactive) Decision making...

32 Lego, Penguins and Dr Who what else do we need?

33 Presented by Dr Trish Williams Contact: Questions?