Kipi Health Data Utils - FHIR Synthetic Data

FHIR (Fast Healthcare Interoperability Resources) is a standard for exchanging healthcare information electronically. Synthetic data refers to artificially generated data that mimics real-world data but is entirely fabricated. When it comes to FHIR synthetic data, it typically involves generating synthetic healthcare data that adheres to the FHIR standards and falls in accordance to its structure and semantics. This Data Product helps the developers with the mock realistic static data that can be used to test their applications. Furthermore, the data can also be utilized by machine learning practitioners, data scientists and other healthcare professionals who need the training data to cater to their different business needs. The data is generated using a safe and compliant program without using real patient records Usage of the App is straightforward. Simply Install the app and get access to 10K static data records for the specified entities in your environment Currently, the solution generates the data for entities listed below: **1. Organization** **2. Medication** **3. Practitioner** **4. Patient** **5. AllergyIntolerance** **6. PractitionerRole** **7. Coverage** **8. Appointment** **9. Encounter** **10. Observation** **11. MedicationStatement** **12. NutritionOrder** **13. Goal** **14. Procedure** **15. Immunization** **16. Claim** **17. ExplanationOfBenefit** **18. Binary_Data** **19. Linkage** **20. OperationOutcome** **21. SubstanceProtein** **22. Endpoint** **23. AppointmentResponse** **24. Basic** **25. Subscription** **26. Substance** **27. BodyStructure** **28. Schedule** **29. Slot** **30. SearchParameter** **31. GraphDefinition** **32. Flag** **33. ImmunizationEvaluation** **34. OperationDefinition** **35. CompartmentDefinition** **36. EnrollmentRequest** **37. EnrollmentResponse** **38. RelatedPerson** **39. VisionPrescription** **40. TerminologyCapabilities** **41. TestScript** **42. TestReport** **43. Account** **44. Location** **45. AuditEvent** **46. Group_Data** **47. BiologicallyDerivedProduct** **48. NamingSystem** **49. Person** **50. SpecimenDefinition** **51. Device** **52. Specimen** **53. PaymentNotice** **54. Questionnaire** **55. QuestionnaireResponse** **56. PaymentReconciliation** **57. ObservationDefinition** **58. Invoice** **59. CapabilityStatement** **60. MedicinalProductIngredient** **61. ResearchStudy** **62. ResearchSubject** **63. Condition** **64. RiskAssessment** **65. MedicinalProductUndesirableEffect** **66. InsurancePlan** **67. AdverseEvent** **68. CareTeam** **69. CarePlan** **70. ChargeItemDefinition** **71. ChargeItem** **72. SupplyRequest** **73. SupplyDelivery** **74. FamilyMemberHistory** **75. GuidanceResponse** **76. ClinicalImpression** **77. CoverageEligibilityRequest** **78. CoverageEligibilityResponse** **79. DetectedIssue** **80. Evidence** **81. MedicinalProductManufactured** **82. ImmunizationRecommendation** **83. ImagingStudy** **84. DiagnosticReport** **85. EpisodeOfCare** <p><br/></p> For additional details, please visit https://fhir.org/ <p><br/></p>

搜集汇总

背景与挑战

背景概述

该数据集提供基于FHIR标准的合成医疗数据，用于应用程序测试和机器学习训练，包含80多种实体类型如患者、药物和诊断。数据通过安全程序生成，不涉及真实患者记录，用户安装应用即可访问1万条静态数据记录。