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Evaluation has shown that GLEE can be used effectively for proper execution of guidelines encoded in the GLIF3 format.
The most effective way to do that seems to be the computerised execution of guidelines in order to provide clinical decision support (CDS) [ 1].
Most attempts to improve the electronic access of physicians to CPGs have focused on the computer execution of guidelines [ 6] rather than on the visualization and presentation of CPGs.
The main approach to achieving computerised execution of guidelines in medical informatics research has been the use of languages that can create computer-interpretable guidelines, i.e. guidelines that a computer can run automatically.
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However, execution of guideline recommendations has proved challenging.
As a main contribution, the ontological paradigm and the expressiveness of modern ontology languages are used to design, implement and exploit a medico-organisational ontology aimed to provide the semantics required to support the execution of clinical guidelines.
By monitoring the parameters of the patient to automatically detect exceptional situations and problems and by notifying the medical staff of tasks that need to be performed, the computerized sedation guideline improves the execution of the guideline.
This ensures a more timely and correct execution of the guideline.
These flow charts contain many ambiguities and simplifications and do not enforce correct and timely execution of the guideline.
The focus of GLP is often, but not exclusively, on the execution of approved guideline-based studies such as toxicity assays required by regulatory mandate to probe a specific biological response.
Therefore, effective automatic guideline execution in healthcare needs EHRs that facilitate guideline-oriented CDS, i.e. facilitate the effective modelling and execution of computer-interpretable guidelines.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com