GraphConnect 2018

Many healthcare organizations today only see small parts of the healthcare system. Few organizations are taking a long-term holistic approach to gaining insights into healthcare. Much of the high costs are driven by the lack of connected information. Making a high quality prediction of how to improve healthcare for an individual means taking many data points into account. This talk will first set the stage to describe the complexities of modern healthcare and it’s scope. We describe claims, clinical, IoT, genomic and other data that frequently is stored in silos. We then give examples of how this data is highly variable and why it is difficult to store in traditional rigid relational databases. We then show the benefits of storing healthcare data in a graph and the ability of graph databases to connect datasets together. We also help explain how graph technologies are tied to NLP, deep learning, agents, blockchain and visualization. We conclude with remarks on why we think that graphs can play a large role in increasing the quality of healthcare and lowering the cost of care. We think that graph technologies can be at the heart of solving may of the wicked problems in healthcare.