University of Texas
Health Science center
School of Medicine Department of Medicine Medical Informatics
University of Texas Health Science center at San Antonio The University of Texas Medical School at San Antonio
Course home Bioinformatics EHRs Keeping up Knowledge Management:
Individual
Knowledge Management:
Institution
Informatics principles Patients Quality Improvement
log in with Proxy - ARS

Structured information

Informatics - basic concepts

Data + knowledge = information

Reusing data and the need for automated data aquisition and communication and indepedence

Example - difficulties with terminology:

A patient has a ABG performed, it shows a PO2 of 45 and a hypercholemic metabolic alkalosis.

Who needs to know about this; what do they need to know and when?

Who needs to know a lab result and why.
Who Why
Doc and patient Clinical care
IT staff Highlight the results in red font to prevent oversight. Create context-sensitive decision support.
Billing the code and whether it supports the instensity of service (eg the doc had to interpret this and spend time responding) claimed
Quality Assurance the result in order to monitor the care given by the hospital to hypoxic patients
Medical Researcher to report on the causes and outcomes of patients with hypoxia

How to represent thes results of the system successfully understands:

The patient has drug adverse effect

Solution - controlled vocabularies and terminologies

Example - relationships between terms: semantics / ontologies

How should a researcher query medical records to retrieve all patients with tuberculosis?

Now, consider how well information resources represent relatioships among facts? Does better representation improve usefullness?

Is uric acid a risk factor for coronary disease?

So what is the chance of coronary disease for: 60 yo male with SPB=130, t chol = 210 and HDL = 40?

So is it worth taking statins?

Lastly, even more structure to the knowledge

Other principles


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