Healthcare Big Data Normalization Graph Theory Implementation

Abstract

This paper presents Healthcare Big Data Normalization using Computerized Provider Order Entry (CPOE) and application of Graph Theory. This is the process of entering physician orders directly into an electronic health record (EHR). CPOE replaces traditional pen and paper, email, fax, and telephone ordering methods. CPOE is an integral part of electronic medical records and a mandatory component for achieving Meaningful Use Stage 2 certification in health care. CPOE is vital because it helps reduce medical errors that can lead to morbidity and mortality and lowers health care costs. Relational databases are the most common type of database used in healthcare settings. The advantages of using a Relational Database Management System for CPOE are discussed, as well as the disadvantages. The Entity-Relationship diagram and schema for a medication CPOE system used in a small ambulatory medical clinic are provided. We also briefly discuss the potential use of a CPOE application and a NoSQL Open Source database, such as OrientDB, along with the benefits and challenges.