Welcome to the InfoSci Platform
Improving Healthcare with Data-Driven Track-and-Trace Systems

Improving Healthcare with Data-Driven Track-and-Trace Systems

Eldar Sultanow, Alina M. Chircu
Copyright: © 2016 |Pages: 18
ISBN13: 9781466698406|ISBN10: 1466698403|EISBN13: 9781466698413
DOI: 10.4018/978-1-4666-9840-6.ch055
Cite Chapter Cite Chapter

MLA

Sultanow, Eldar, and Alina M. Chircu. "Improving Healthcare with Data-Driven Track-and-Trace Systems." Big Data: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2016, pp. 1229-1246. https://doi.org/10.4018/978-1-4666-9840-6.ch055

APA

Sultanow, E. & Chircu, A. M. (2016). Improving Healthcare with Data-Driven Track-and-Trace Systems. In I. Management Association (Ed.), Big Data: Concepts, Methodologies, Tools, and Applications (pp. 1229-1246). IGI Global. https://doi.org/10.4018/978-1-4666-9840-6.ch055

Chicago

Sultanow, Eldar, and Alina M. Chircu. "Improving Healthcare with Data-Driven Track-and-Trace Systems." In Big Data: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1229-1246. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-9840-6.ch055

Export Reference

Mendeley
Favorite

Abstract

This chapter illustrates the potential of data-driven track-and-trace technology for improving healthcare through efficient management of internal operations and better delivery of services to patients. Track-and-trace can help healthcare organizations meet government regulations, reduce cost, provide value-added services, and monitor and protect patients, equipment, and materials. Two real-world examples of commercially available track-and-trace systems based on RFID and sensors are discussed: a system for counterfeiting prevention and quality assurance in pharmaceutical supply chains and a monitoring system. The system-generated data (such as location, temperature, movement, etc.) about tracked entities (such as medication, patients, or staff) is “big data” (i.e. data with high volume, variety, velocity, and veracity). The chapter discusses the challenges related to data capture, storage, retrieval, and ultimately analysis in support of organizational objectives (such as lowering costs, increasing security, improving patient outcomes, etc.).

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.