Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Virkki presentation VTT SmartHealth Ecosystem Event 12.6.2019

174 views

Published on

SmartHealth Ecosystem Event 12.6.2019, Arho Virkki presentation on Data driven research and leadership - future prospects

Published in: Technology
  • Be the first to comment

  • Be the first to like this

Virkki presentation VTT SmartHealth Ecosystem Event 12.6.2019

  1. 1. Data driven research and leadership - future prospects Arho Virkki, PhD Head of Auria Clinical Informatics at Turku University Hospital Adjunct Professor in Medical Mathematics at Turku University
  2. 2. 1) Data Services for Scientific Research, 2) Research-as-a-Service (RaaS), 3) Data Commensuration and Quality Assurance, 4) Clinical Decision Support and 5) Information Security Year Data Sets 2014 9 2015 24 2016 114 2017 126 2018 287 2019 129 Table. Research data sets extracted since 2019-06-97 Auria Clinical Informatics at Turku University Hospital
  3. 3. Data-Driven Research and Innovation Numeric and categorical data can be used for 1) Statistical analysis 2) Computing risk factors 3) Estimating population-level risks 4) …
  4. 4. Data-Driven Research and Innovation Or, for visualising 1) Time series or 2) Patient care paths Series example: The subtle increase in laboratory measurements between 2005 – 2018 Path example: Thousands of sleep apnea patients are treated annually at Turku University Hospital. The diagram shows a snapshot of the treatment path between first diagnosis, referral, visit and getting a mouthpiece.
  5. 5. Data-Driven Research and Innovation Example: Automated pattern detection with machine learning to speed up clinical diagnoses. Motivation: If the patient can be diagnosed and treated < 10 minutes after arrival in the ICU, the probability of surviving increases significantly.
  6. 6. Dataset for Machine Learning (58 057 slices)
  7. 7. First Machine Learning Results
  8. 8. More Pattern Detection (2D pathological images) Example: Automated pattern detection with machine learning to improve the accuracy of 2D image classification
  9. 9. Crowdsourcing Research Example 1 (right): Junction Hackathon 2017, Health Tech Challenge, Espoo, Finland with anonymized data. Example 2 (next slides): Invite-only Hackathon for all public biobanks in Finland with real (pseydonymized) data
  10. 10. Example 2: #biopankkihack Hotel Kämp, Helsinki, May 16-17, 2018
  11. 11. #biopankkihack Hotel Kämp, Helsinki, May 16-17, 2018
  12. 12. #biopankkihack Hotel Kämp, Helsinki, May 16-17, 2018
  13. 13. Data Lake is a component of Data Platform. It is used as staging area between operational systems and dedicated analysis platforms, or directly as an in-house computing platform. Findata offers secure data sandboxes with real-life data for scientific research. We take care of security – and offer full freedom for innovative research. Scientific Research and Innovation Secure Data Sandboxes Data Lake Electronic Health Records Secure Sandboxes for Data
  14. 14. Liberty with 100% Open Source Tools and Algorithms https://github.com/auriadih
  15. 15. Contact: Auria Clinical Informatics Turku University Hospital atp@tyks.fi http://auria.fi/en http://aci.vsshp.fi

×