Department of Medicine

Informatics principles

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Informatics - basic concepts

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

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:

  • 'PO2' or 'partial pressure of oxygen'

Solution - controlled vocabularies and terminologies

Example - relationships between terms: semantics / ontologies

The patient has drug adverse effect

  • What is dose, preparation. Will MeSH terms represent this? How about NDC?
  • Vancomycin level is high - how to convert this is into 'toxicity'

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

  • What terms should be used? What if they only want pulmonary TB?
  • What hospital data sources should the researcher look in?

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?

  • Framingham
  • This site gives more than the univariate association of urate and cardiac disease

So is it worth taking statins?

  • USPSTF
  • This site gives yet more structure to the association between risk factors and cardiac disease

Lastly, even more structure to the knowledge

Other principles

  • Malthus law of information - amount of information will outpace human processing ability