1. Healthcare Informatics Prof. William W. Song Informatics and Business Intelligence Dalarna University Borlänge, Sweden

2. What e-healthcare (healthcare IS) Usually, e-health involves these aspects related to healthcare activities using information systems (informatics). Electronic health records – mainly focusing on communication of patient data between healthcare professionals. E-Prescription – an electronic transmission of prescriptions between doctors and pharmacists, as well as patients. Telemedicine – remote physical treatments, including distance-monitoring of patients functions. Healthcare information systems – considering management of healthcare data, including demographic data, lab data, and biologic data (e.g. bio-ontology).

3. What are problems in e-health 1.Clinic appointment scheduling 2.Patient record inconsistence 3.Diagnosis uncertainty (suspected) 4.Patient-disease monitoring (home care) 5.Treatment lab data analytics (big data analysis) 6.Medical data sharing (heterogeneous data) 7.Personal monitoring (Tracking of Pregnancy) 8.Governmental health strategies (healthcare data exchange among various sources) 9.How much do you trust your doctor? 10.People want to know more about their health situations (public science)

4. We need to know (model) Views of healthcare data View on Patients – Records – Treatments – In-patient – Medicine, operations, recipés – Post-treatment (follow-up) View on Hospitals – Doctors – Nurses – Workers – Lab – Wards View on Governments – Healthcare departments – Health programs – Health workers – Hospitals (managed by government in Sweden) – Healthcare informatics

5. Sources of healthcare data Patients Medical treatments Managerial data for healthcare Governmental documents of policies and regulations Healthcare industrial data Social welfare and insurance Bio lab data

6. A three-layered data model

7. Conceptual model for e-healthcare Core data – directly coming from patients, diseases, and diagnoses Clinic visit data Individual treatment records Histories Families Peripheral data – governmental policies – insurance information – social network data – medical professionals’ blogs – medical websites

8. Data flows in hospital

9. A data format

10. Healthcare management (WHO)

11. Governmental program for e-health

12. Data flow of HMIS

13. Technology solutions Medical Information Systems Data sharing – Cloud computing Data analysis – Big Data computing Home care – Wireless sensor networking (WSN) computing

14. What are problems in e-health 1.Clinic appointment scheduling 2.Patient record inconsistence 3.Diagnosis uncertainty (suspected) 4.Patient-disease monitoring (home care) 5.Treatment lab data analytics (big data analysis) 6.Medical data sharing (heterogeneous data) 7.Personal monitoring (Tracking of Pregnancy) 8.Governmental health strategies (healthcare data exchange among various sources) 9.How much do you trust your doctor?

15. Various IS for helathcare

16. Cloud computing for healthcare data

17. HIS with monitoring

18. Data analytic system

19. WSN monitoring