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Refbio Fase IIRefbio Fase II
Urko Aguirre Larracoechea
Research Unit, Hospital Galdakao-Usansolo,
OSI Barrualde-Galdakao
Biostatistician
BD-Chronic Care Modelling:
measuring impact of comorbidities by
Big-Data approaches
Refbio Fase IIRefbio Fase II
• Solid reasearch lines
– Risk-stratification in acute and chronic conditions
– Telemedicine (COPD)
– Health services reserach: outcomes measurement
• Emerging topics
– Biomarkers: COPD, heart failure
– Big Data analytics
OSI Barrualde-Galdakao
Main research topics
Refbio Fase IIRefbio Fase II
• Ageing population Increasing prevalence of the chronic
diseases and comorbidities.
• Increase usage of health resources High burden and costs.
• Key policies:
– To reduce emergency admissions
– To reduce visits to the General Practitioner.
– Manage individual, high impact diseases
• Methodology: risk-stratification/case finding techniques.
BD-Chronic Care Modelling:
measuring impact of comorbidities by Big-Data
approaches
Refbio Fase IIRefbio Fase II
• Big Data ~ data larger than the capacity of the computer.
• Over the years, we have all kinds of effective methods for
classification, clustering, and regression
• However, mining useful information remains difficult for some
real-world applications
• APPROACHES:
– Parallelize existing (single-machine) algorithms
– Design new algorithms particularly for distributed settings
BD-Chronic Care Modelling:
measuring impact of comorbidities by Big-Data
approaches
Refbio Fase IIRefbio Fase II
BD-Chronic Care Modelling:
measuring impact of comorbidities by Big-Data
approaches
Source: KW Foundation
Refbio Fase IIRefbio Fase II
• OBJECTIVES:
– To measure the impact of comorbidities in health resources
in terms of hospital admissions, readmissions and visits to
the Emergency Room and General Practitioner.
- To develop more robust algorithms (e.g., parallelized in
distributed systems) for chronic care modelling.
BD-Chronic Care Modelling:
measuring impact of comorbidities by Big-Data
approaches
Thank you !! Merci!
www.refbio.eu
Urko Aguirre Larracoechea
urko.aguirrelarracoechea@osakidetza.eus
Programa financiado por el FEDER

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Urko Aguirre Larracoechea

  • 1. Refbio Fase IIRefbio Fase II Urko Aguirre Larracoechea Research Unit, Hospital Galdakao-Usansolo, OSI Barrualde-Galdakao Biostatistician BD-Chronic Care Modelling: measuring impact of comorbidities by Big-Data approaches
  • 2. Refbio Fase IIRefbio Fase II • Solid reasearch lines – Risk-stratification in acute and chronic conditions – Telemedicine (COPD) – Health services reserach: outcomes measurement • Emerging topics – Biomarkers: COPD, heart failure – Big Data analytics OSI Barrualde-Galdakao Main research topics
  • 3. Refbio Fase IIRefbio Fase II • Ageing population Increasing prevalence of the chronic diseases and comorbidities. • Increase usage of health resources High burden and costs. • Key policies: – To reduce emergency admissions – To reduce visits to the General Practitioner. – Manage individual, high impact diseases • Methodology: risk-stratification/case finding techniques. BD-Chronic Care Modelling: measuring impact of comorbidities by Big-Data approaches
  • 4. Refbio Fase IIRefbio Fase II • Big Data ~ data larger than the capacity of the computer. • Over the years, we have all kinds of effective methods for classification, clustering, and regression • However, mining useful information remains difficult for some real-world applications • APPROACHES: – Parallelize existing (single-machine) algorithms – Design new algorithms particularly for distributed settings BD-Chronic Care Modelling: measuring impact of comorbidities by Big-Data approaches
  • 5. Refbio Fase IIRefbio Fase II BD-Chronic Care Modelling: measuring impact of comorbidities by Big-Data approaches Source: KW Foundation
  • 6. Refbio Fase IIRefbio Fase II • OBJECTIVES: – To measure the impact of comorbidities in health resources in terms of hospital admissions, readmissions and visits to the Emergency Room and General Practitioner. - To develop more robust algorithms (e.g., parallelized in distributed systems) for chronic care modelling. BD-Chronic Care Modelling: measuring impact of comorbidities by Big-Data approaches
  • 7. Thank you !! Merci! www.refbio.eu Urko Aguirre Larracoechea urko.aguirrelarracoechea@osakidetza.eus Programa financiado por el FEDER