Cascading Workflow of Healthcare Services

Abstract

Despite rapid advancements in technology, the healthcare industry is known to lag behind when it comes to adopting new changes. Most often, when a new technology such as CPOE or EHR systems presents themselves in the healthcare industry, clinicians are left struggling to keep up with their workloads while learning to adjust a new workflow. Instead of disrupting the clinician's clinical workflow, the authors propose a system for transforming clinical narratives presented in the form of discharge summaries from the i2b2 Natural Language Processing dataset into a standardized order set. The proposed system uses natural language processing techniques based on Scala, which extracts discharge summary information about a patient and is proven to be highly scalable. The goal of this system is to increase interoperability between CPOE systems by performing further transformations on the extracted data. The authors adhere to HL7's FHIR standards and use JSON as the primary medical messaging format, which is used both in the US and international healthcare industry organizations and companies.