However text, flowcharts and other guidelines can be dramatically enhanced using AI techniques to build “Publets” – executable models of best practice which provide patient-specific alerts, recommendations for care and “smart” pathways. Publets can provide patient-specific explanations and background evidence on demand, and capture patient information as feedback to the publet provider and for clinical audit, data mining and machine learning.
OpenClinical empowers clinicians, researchers and others to develop executable models for their own specialties and settings themselves, and submit them for review and publication in much the same way that they submit papers to traditional research journals. Publets can be validated against real cases before submission, and peer reviewed by independent experts before open access and open source publication on the OpenClinical repository.
Members of the OpenClinical community in other institutions, countries or specialties can enact and critique publets on-line and download and adapt them to meet local requirements.
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