Our state-of-the-art white paper – ‘Why the BMJ Knowledge Graph’ by Dr. Blackford Middleton, Digital Knowledge Products Consultant, and Dr. Kieran Walsh, Clinical Director, BMJ – outlines the challenges faced by modern healthcare, including delayed translation of new knowledge into clinical practice, unwarranted variability in healthcare delivery at the patient and population level, and lack of optimization of cost, quality, and value.

Traditional clinical decision support has attempted to tackle some of these problems. However, to date, it has largely been developed on rule-based systems. These have been helpful, but the rule base becomes difficult to manage at scale – for example when you have to manage hundreds of rules. And typically rules take a single disease perspective which will not work for patients with multimorbidity.

An alternative is a knowledge graph approach. BMJ Clinical Intelligence is our knowledge graph, and it has been designed to overcome the limitations of traditional rule-based systems. Our white paper covers the advantages of a knowledge graph approach, how we create and update the graph, how it can work in synchrony with large language models, and how it can be utilized in point-of-care and population health workflows to drive better health outcomes.