introduction to the programme
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Introduction to the programme. A.Hasman. Medical Informatics. The study concerned with the understanding, communication and management of information in healthcare. Understanding. Which concepts/terms are used What do they mean How can the concepts be represented formally - PowerPoint PPT PresentationTRANSCRIPT
Introduction to the programme
A.Hasman
Medical Informatics
• The study concerned with the understanding, communication and management of information in healthcare
Understanding
• Which concepts/terms are used
• What do they mean
• How can the concepts be represented formally
• How can information and knowledge be represented
• How to formalize processes
• Research
Ontology
Pressure
Intra-vascularPressure
ArterialPressure
Systemic
Applies to
Whole body
Systolic ArterialPressure
Has phase
Heart cyclephase
Has phase
Systolicphase
Diastolic ArterialPressure
Has phase
Diastolicphase
BloodPressure
Has units
ISO pressureunits
Has units
Mm[Hg]
Has positionBody
postion
Is a
Part of
Other relation
Standardization!!!!
Semantics
Domain knowledge
• Clinical knowledge examples:– Models of “clinical statements”:
• BP measurement• ECG result• Discharge summary
– Workflow process descriptions– Protocols / Guidelines– Terminologies, ontologies, e.g. Galen,
Snomed
Communication
• Domain specific:– How to design messages that can be
understood by the receiving system– Standardization of terminology and
messages, archetypes
• Domain independent– Technical communication between computer
systems (the 7-layer Open Systems Interconnection (OSI) model)
Terminology is insufficient• Terminology can tell you that “systolic blood pressure" is
“the pressure of the blood in an artery at the systolic heart phase"
• But terminology cannot describe the structure you will use to capture the BP measurement information, for that archetypes are defined
Instrum.
Pat. Pos.
cuff
method
systolic
diastolic
values
BP measurement
Terminology = ?
0..11
0-1000
0-1000
Seven layer OSI model
Communication
Management
• How to represent the data– Textual (free or formalized text)– Diagrams– Signals– Images
• How to store the data– Database models
• How to maintain the data– Information systems– Updating, archiving
Data-information-knowledge
• Data: the raw material
• Information: interpreted data
• Knowledge: network of related information chunks
Data-information-knowledgeexample
• Data: echocardiogram of Mina Tanenbaum• Information: Statements about specific individuals.
For example, the statement “Mina Tanenbaum (2y) has an atrial septal defect, 1 cm x 3.5 cm” is a statement about Mina Tanenbaum, and no-one else
• Knowledge : statements about classes of entities, e.g. the statement “a hole in the atrial septum can lead to dilatation, cardiac insufficiency and pulmonary hypertension”. Fragments of knowledge are models developed by studying populations of individual statements
Programme
Information systems
• History of monolithic and modular ISs (AH)
• Personal health records, mobile systems and smartcards (AH)
• National healthcare infrastructure (RC)
General overviews
• Implementation of ISs (AH)
• CPOE and implementation strategies (NdK)
• Telemedicine (NdK)
• Role of standardization (RC)
• Data reuse (RC)
• Medical safety and medical informatics (SE)
Evaluation (NdK)
• Evaluation of information systems– Quantitative vs qualitative research, study
designs, outcome measures, pitfalls
• Evaluation of quality of care– Prognostic models, registries, quality
indicators
Decision support
• Decision support (AH)– Guideline implementations– Types of CDSS (non(critiquing) person(non)
specific
• Examples of decision support systems (SE)– Development, implementation and evaluation
Standards
• Terminology systems (RC)– Types of systems
• Health Level 7 (RC)
• Round up (AH)