Why the BMJ Clinical Intelligence knowledge graph approach?
The problems with healthcare and clinical decision support outlined above mean that we need a fundamental rethink of how we deliver knowledge to healthcare professionals. First and foremost is the need for knowledge engineering at scale. This will enable the translation of clinical guidelines or best practice documents and protocols into computable evidence that can be used at the point of care. What is needed to achieve this is a multidisciplinary team and processes that require both clinician expertise and consensus to arrive at clinical guidelines, and clinical informatics expertise to translate and encode guidelines into computable evidence. BMJ is well-positioned to lead in this work. BMJ has published in the field of medicine and healthcare since 1840. It is a world-class medical publisher with decades of experience in publishing top-tier clinical journals that are known worldwide. BMJ has also been providing digital clinical decision support for over fifteen years. It has now built an expert knowledge engineering team with deep experience in the translation process from guidelines to computable evidence at scale across whole domains – from clinical medicine to population health. The result is computable evidence that can be applied at the point of care and in population health management for each and every clinical decision made. The BMJ Clinical Intelligence knowledge graph is built upon knowledge assets that are evidence- based and have a clear provenance that cites the source materials. There is a continuous updating process to ensure that the knowledge is current. BMJ has built a factory that keeps all the knowledge assets updated and at the same time in synchrony with the translated computable evidence. The knowledge assets are also comprehensive: they cover over thirty medical specialties across the breadth of primary, secondary, and tertiary care. They cover each topic in-depth and cover the entire clinical workflow at the point of care – including screening, triage, diagnosis, differential diagnosis, investigations, treatment, follow-up, and healthcare maintenance. The knowledge assets work at the population health level as well – they include comprehensive population health monitoring, intelligent analysis, and early intervention that can enable better screening and diagnosis, prompt and comprehensive treatment, and primary and secondary prevention. Individual institutions would struggle to do this at scale. BMJ has built the capability to do this and to collaborate with partners who can enable implementation at the point of care and in population health management.
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Why the BMJ Knowledge Graph
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