Informations Systems in Health Care Mapping out the terrain.

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Presentation transcript:

Informations Systems in Health Care Mapping out the terrain

Types of systems in health informatics Bioinformatics 1. Biological structure informatics 2. Computational biology 3. Expression profiling and microarrays 4. Genomic ontologies 5. Genomics 6. Linking the genotype and phenotype 7. Neuroinformatics 8. Pharmacogenomics 9. Proteomics Clinical Informatics 10. Barriers to clinical system implementation 11. Clinical systems in ambulatory care 12. Clinical systems in high intensity care 13. Careflow and process improvement systems 14. Disease management 15. E-health and clinical communication 16. Evaluation of health information systems 17. Health data warehousing 18. Health information systems 19. Integrated health and financial systems Education and Training 20. Computer-assisted medical education 21. Consumer health information 22. E-learning or distance learning 23. Education and training 24. Library information systems 25. Medical informatics teaching 26. Patient education and self-care 27. Professional education Human Information Processing and Organizational Behavior 28. Cognitive models and problem solving 29. Data visualization 30. Natural language understanding and text generation 31. Human factors and usability 32. Human factors and user interfaces 33. Human-computer interaction 34. Models of social and organizational behavior 35. Natural language processing Imaging and Signal Analysis 36. Image processing and transmission 37. Image recognition, registration, and segmentation methods 38. Imaging and signal standards 39. Knowledge representation and ontologies for imaging 40. Model-based imaging 41. Signal processing and transmission 42. Virtual reality and active vision methods and applications Innovative Technologies in Health Care 43. Computer-communication infrastructures 44. Internet applications 45. Mobile computing and communication 46. Portable patient records 47. Security and data protection 48. Software agents and distributed systems 49. Telemedicine 50. Virtual reality 51. Wireless applications and handheld devices Knowledge Management 52. Automated learning and discovery 53. Clinical guidelines and protocols 54. Controlled terminology, vocabularies, and ontologies 55. Intelligent data analysis and data mining 56. Decision support systems 57. Knowledge management 58. Knowledge representation 59. Neural network techniques 60. Pattern recognition/classification Nursing Informatics 61. Nursing informatics 62. Nursing care systems 63. Nursing vocabulary and terminology 64. Nursing education/Curriculum in nursing informatics 65. Nursing documentation Organizational Issues 66. Careflow management systems 67. Care delivery systems 68. Cooperative design and development 69. Economics of care 70. Ethical and legal issues 71. Health services evaluation: performance and quality 72. Organizational impact of information systems 73. Quality assessment and improvement 74. System implementation and management issues 75. Technology assessment Patient Record 76. Cryptography, database security, and anonymization 77. Database access and delivery 78. Database design and construction 79. Data standards and enterprise data sharing 80. Patient record management 81. Privacy, confidentiality, and information protection 82. Standard medical vocabularies 83. Standards for coding 84. Standards for data transfer Public Health Informatics 85. Administrative/financial systems 86. Biosurveillance 87. Consumer health informatics 88. Emergency and disaster response 89. Genetic epidemiology 90. Health intervention systems 91. Health promotion systems 92. Health outcomes assessment 93. Patient self-care and patient-provider interaction

Patient Relative Citizen Physician Nurse Technician/support Administrator/ma manger Actors involved In Health Care Actors involved In Health Care Researcher

TDT4210 Helseinformatikk - evaluation

Prevention & Care Act Teach Motivate Role of pupil Role of provider Role of changer

ICT support - examples Act Teach Motivate

Kreftregisteret home page: purpose: – obtain and analyze data from patients with cancer in Norway – support / conduct research to obtain new knowledge.. – give advice on the treatment of cancer – give advice on the prevention of cancer established in one of the oldest national cancer registries in the world regulation: “Kreftregisterforskriften” – html html

kreftregisteret, forts “Melding til Kreftregisteret” is mandatory for the physicians that discovers the cancer. Norwegian cancer registry also has many “special registries” – Norsk Polyposeregister – Nordisk barnekreftregister for solide svulster - NOPHO – Rectumcancerregisteret – Spesialregisteret for eggstokkreft – Spesialregisteret for lungekreft – Prostatacancerregisteret and conduct mass screening programmes – Norwegian cervical cancer screening programme – Norwegian mammography screening programme

Fragmentation of cognition and care From: Towards: Reasons: increasing complex clinical care more co-morbidity more focus on patient-centred care more part-time healthcare professionals extramuralisation of care …

Problem Case Old Memory problems Small social network Limited communication skills

Case: demential syndrome PA: patient GP: general practitioner LP: local pharmacist GC: geriatric clinic HC: home care RIO: regional indication agency (diagnostic phase only) >> concepts: Notification, Alert, Form, Message, Process Status PAGP 1 LP 2 3 GC 4 HC RIO 5

“Defragmentation” of cognition and care ICT can play an important role in “repairing” the fragmented cognition and care by facilitation of: communication shared data ICT

Helseinformatikk - Introduksjon