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

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).

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)

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

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

A three-layered data model

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

Data flows in hospital

A data format

Healthcare management (WHO)

Governmental program for e-health

Data flow of HMIS

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

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?

Various IS for helathcare

Cloud computing for healthcare data

HIS with monitoring

Data analytic system

WSN monitoring