Health Analytics Current data situation and use in Norway

Transcription

1 Health Analytics Current data situation and use in Norway Anne Torill Nordsletta, Director Health Analytics, Norwegian Centre for E-health ehealthnorway

2 2016 Established NORWEGIAN CENTRE FOR E-HEALTH RESEARCH 2

3 @ ehealthnorway NORWEGIAN HEALTH AND CARE SERVICES F 3

4 @ ehealthnorway REAL-WORLD DATA/EVIDENCE NATIONAL ACTIVITIES Environmental data Electronic health records and registries Claims databases Medical imaging One Health Record One Patient Genomics Patient monitoring devices and social media data Digital phenotyping data Health Data Program -Health Registries 4

5 @ ehealthnorway RESEARCH INFRASTURCTURES IN NORWAY The Norwegian Primary Care Research Network Real time data from EHR Health Registries for Norway ELIXIR Norway Services for sensitive data SAFE 5

6 @ ehealthnorway 40% Clinical data is unstructured 60% Clinical data is structured 6

7 @ ehealthnorway HEALTH ANALYTICS Advanced statistical and machine learning methods: Provide solutions that turns data into actionable insights Prediction Extract useful information for generating advanced decision-making Health analytics (HA) methods Machine learning Natural language processing Data mining Process mining 7

8 @ ehealthnorway HEALTH ANALYTICS Important in the new health paradigm Precision medicine will reshape the healthcare Provide clinicians with decision tools for decision-making From descriptive to predictive and prescriptive analytics Source: BIGMED report 8

9 @ ehealthnorway MACHINE LEARNING IN HEALTHCARE Medical imaging Treatment queries and suggestions Drug discovery and development Improved care - multiple diagnosis Clinical pathways Population risk management Robotic surgery Precision medicine Automatic treatment Performance improvement 9

10 HEALTH ANALYTICS RESEARCH ACTORS IN NORWAY AND SWEDEN Use of deep learning networks for medical image ehealthnorway Identify fractures in orthopedic radiographs Karolinska Institutet, Sweden More targeted cancer treatment, use image analysis and deep learning, quantification of DNA- DOMORE! project at Radiumhospialet, Norway Designed neural network for automatic detection of lood vessels in real-time from ultrasound images NTNU, Norway Genomics Rare diseases, sudden cardiac death, metastatic colorectal cancer BIGMED, Norway Mental health Predict mental states such as depression in bipolar patients INTROMAT, Norway 10

11 STRUCTURED AND UNSTRUCTURED DATA Predict anastomosis leakage Early detection in pre-operativ planning Early warning and decision support Previous study had a sensitivity of 100% and specificity was 72% with use of bag-of-words model Source: Ferris, Robert. Retrieved from 11

12 NORKLINTEKST PROJECT Improve specificity Prediction algorithm Data available NLP, statistics and machine learning Predict and identify risk patients Pre-operative planning, early warning and decision support. With improved specificity less expensive false alarms 12

13 REPORTS BIGMED Legal and regulatory Organisational Competence and knowledge Technological Financial and political The Norwegian Data Protection Authority Privacy Norwegian Centre for E-health Research Health analytics 13

14 @ ehealthnorway HEALTH ANALYTICS IN THE FUTURE More health analytics research Raise awareness and knowledge among decision-makers and other stakeholders Innovations for equitable healthcare ecosystem 14

15 Contact Anne Torill Nordsletta, Director Health Analytics, Norwegian Centre for E-health Research ehealthnorway

16 @ ehealthnorway REFERENCES Soguero-Ruiz, C., Hindberg, K., Rojo-Alvarez, J. L., Skrovseth, S. O., Godtliebsen, F., Mortensen, K., Jenssen, R. (2016). Support Vector Feature Selection for Early Detection of Anastomosis Leakage From Bag-of- Words in Electronic Health Records. IEEE Journal of Biomedical and Health Informatics, 20(5),