Healthcare professionals make decisions with only a subset of available patient records, which is why it's essential to consolidate all healthcare information into a 360-degree master data management patient view using Amazon Neptune and generative AI. Patient data is assembled from various sources like EHRs, lab reports, prescriptions, and medical histories into one location; this provides a complete and accurate view of a patient's health and can improve efficiency, reduce risk, and enable better clinical decisions. Natural language querying using generative AI provides a means for physicians and patients to query data effectively. Moreover, visualization software like Graph Explorer provides a means of navigating and interpreting recorded information in an easy-to-understand manner.
Master data management (MDM) is vital for integrating patient data from different sources accurately and consistently while maintaining a single source of truth. MDM also improves decision-making, streamlines workflows, and personalizes treatment plans. MDM represents a critical feature for meeting regulatory standards while enforcing security and privacy around data.
The advantages of building a 360-degree patient view-data-driven approach include the following: 1) enabling personalized care, 2) detecting potential health issues early, 3) improving patient engagement, 4) identifying barriers to care, and 5) supporting clinical decision-making. Enabling physicians to personalize care through risk scores and understand a person's medical history will predict potential health issues early.
Using Amazon Neptune and generative AI ensures that healthcare providers have access to an institution's large medical record data to further support analytics; you can identify trends, track drug utilization for specific medical conditions and more. Graph Explorer, a low-code, open-source tool that integrates with LPG and RDF graph models, allows physicians to explore a patient's medical history to understand how different physicians have treated them and identify connections.