Tagged: EHR

Projects

• Data Lakes for Pooling T1D Patients CGM Data to Enable EHR Integration and Prevent Data Silos: A Patient Pathway & Clinical Workflow Analysis — Modern developments in healthcare data collection and management aim to improve patient outcomes. For instance, consider type 1 diabetes (T1D) patients, who benefit from enhanced continuous glucose monitoring (CGM) devices. These devices can provide time-sensitive alerts and facilitate automated data collection for patient-practitioner retrospectives, greatly improving patients’ ability to manage their disease. However, CGM vendors often package their devices with proprietary software and rely on third-party infrastructure. This leads to interoperability challenges across clinical systems, fragmented workflows, and increased cognitive burden for clinicians, who grapple with a heterogeneous device landscape encumbered by data silos. This work aims to begin addressing these concerns by first analysing T1D patient data pathways through process modelling. By translating a traditional swimlane (business process) diagram to a formal graph-based representation, we propose a technique for identifying data-flow bottlenecks in complex multi-actor networks. Following this, we discuss an approach to centralised ingestion of CGM data based on a data lake-like architecture (inspired by the Scottish DataLoch initiative). We hope our investigation provides a refreshing perspective on some of the many issues arising from the fragmented nature of the healthcare industry.