Evaluation of software for automated measurement of adherence to ICP-monitoring threshold guideline

Stell, A., Moss, L. , Hawthorne, C., O'Kane, R., Kommer, M., Shaw, M. and Piper, I. (2021) Evaluation of software for automated measurement of adherence to ICP-monitoring threshold guideline. In: Depreitere, B., Meyfroidt, G. and Güiza, F. (eds.) Intracranial Pressure and Neuromonitoring XVII. Series: Acta neurochirurgica supplement (131). Springer: Cham, pp. 217-224. ISBN 9783030594350 (doi: 10.1007/978-3-030-59436-7_42)

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Challenges inherent in clinical guideline development include a long time lag between the key results and incorporation into best practice and the qualitative nature of adherence measurement, meaning it will have no directly measurable impact. To address these issues, a framework has been developed to automatically measure adherence by clinicians in neurological intensive care units to the Brain Trauma Foundation's intracranial pressure (ICP)-monitoring guidelines for severe traumatic brain injury (TBI).The framework processes physiological and treatment data taken from the bedside, standardises the data as a set of process models, then compares these models against similar process models constructed from published guidelines. A similarity metric (i.e. adherence measure) between the two models is calculated, composed of duration and scale of non-adherence.In a pilot clinical validation test, the framework was applied to physiological/treatment data from three TBI patients exhibiting ICP secondary insults at a local neuro-centre where clinical experts coded key clinical interventions/decisions about patient management.The framework identified non-adherence with respect to drug administration in one patient, with a spike in non-adherence due to an inappropriately high dosage; a second patient showed a high severity of guideline non-adherence; and a third patient showed non-adherence due to a low number of associated events and treatment annotations.

Item Type:Book Sections
Glasgow Author(s) Enlighten ID:Stell, Mr Anthony and O'Kane, Mr Roddy and Kommer, Maya and Piper, Dr Ian and Hawthorne, Dr Christopher and Moss, Dr Laura and Shaw, Dr Martin
Authors: Stell, A., Moss, L., Hawthorne, C., O'Kane, R., Kommer, M., Shaw, M., and Piper, I.
College/School:College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing
Published Online:11 April 2021

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