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Medical informatics Linking diseases, drugs, and adverse reactions

Explore the connection between diseases, drugs, and adverse reactions using structured and unstructured medical data from registries, EHR systems, and national discharge records. Discover insights on diagnosis trajectories, comorbidities, and confounding factors.

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Medical informatics Linking diseases, drugs, and adverse reactions

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  1. Medical informaticsLinking diseases, drugs, and adverse reactions Lars Juhl Jensen

  2. structured data

  3. Jensen et al., Nature Reviews Genetics, 2012

  4. unstructured data

  5. central registries

  6. hospital EHR systems

  7. opt-out

  8. opt-in

  9. registry data

  10. civil registration system

  11. established in 1968

  12. CPR number

  13. Jensen et al., Nature Reviews Genetics, 2012

  14. national discharge registry

  15. 14 years

  16. 6.2 million patients

  17. 45 million admissions

  18. 68 million records

  19. 119 million diagnosis

  20. ICD-10

  21. Jensen et al., Nature Reviews Genetics, 2012

  22. not research

  23. reimbursement

  24. diagnosis trajectories

  25. comorbidity

  26. contingency table

  27. Jensen et al., Nature Reviews Genetics, 2012

  28. confounding factors

  29. “known knowns”

  30. gender

  31. age

  32. type of hospital encounter

  33. Jensen et al., Nature Communications, 2014

  34. “known unknowns”

  35. smoking

  36. diet

  37. “unknown unknowns”

  38. reporting biases

  39. matched controls

  40. proxy diagnoses

  41. temporal correlations

  42. diagnosis trajectories

  43. Jensen et al., Nature Communications, 2014

  44. trajectory networks

  45. Jensen et al., Nature Communications, 2014

  46. key diagnoses

  47. Jensen et al., Nature Communications, 2014

  48. direct medical implications

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