HIMSS - Health Analytics Current data situation and …...Health Analytics Current data situation...
Transcript of HIMSS - Health Analytics Current data situation and …...Health Analytics Current data situation...
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Health AnalyticsCurrent data situation and use in Norway
Anne Torill Nordsletta, Director Health Analytics, Norwegian Centre for E-health Research
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NORWEGIAN CENTRE FOR E-HEALTH RESEARCH
2016 – Established
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• F
NORWEGIAN HEALTH AND CARE SERVICES
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REAL-WORLD DATA/EVIDENCE
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Environmental data
Electronic health records and registries
Claims databases
Medical imaging
Genomics
Patient monitoring devices and social media data
Digital phenotyping data
Health Data Program -Health Registries
One Health Record –One Patient
NATIONAL ACTIVITIES
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RESEARCH INFRASTURCTURES IN NORWAY
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• The Norwegian Primary Care Research Network
– Real time data from EHR
• Health Registries for Norway
• ELIXIR Norway
• Services for sensitive data
• SAFE
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40%Clinical data is unstructured
60%Clinical data is structured
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• 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
HEALTH ANALYTICS
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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
HEALTH ANALYTICS
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Source: BIGMED report
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• 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
MACHINE LEARNING IN HEALTHCARE
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HEALTH ANALYTICS RESEARCH ACTORS IN NORWAY AND
SWEDEN
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• Use of deep learning networks for medical image analysis– 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
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• 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 https://www.slideshare.net/RobertFerris5/anastomotic-leak-following-colorectal-resection
STRUCTURED AND UNSTRUCTURED DATA
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NORKLINTEKST PROJECT
Data available
NLP, statisticsand machinelearning
Prediction algorithm
Predict and identifyrisk patients
• Pre-operative planning, early warning and decision support.
• With improved specificityless expensive false alarms
Improve specificity
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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
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HEALTH ANALYTICS IN THE FUTURE
• More health analytics research
• Raise awareness and knowledge among decision-makers and other
stakeholders
• Innovations for equitable healthcare ecosystem
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Contact
Anne Torill Nordsletta, Director Health Analytics, Norwegian Centre for E-health Researchhttps://ehealthresearch.no/
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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), 1404–1415. https://doi.org/10.1109/JBHI.2014.2361688
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