Date of Conferral

2020

Degree

Doctor of Public Health (DrPH)

School

Health Services

Advisor

Rabeh Hijazi

Abstract

An operational problem exists in which some healthcare organizations cannot maintain a suitable supporting data transfer system, which impacts the integrated laboratory data transfer portals designed to receive and send secure patient laboratory results and reports. This quantitative study examined whether an association exists between patient reporting turnaround times and specific test code nomenclatures used when comparing an older referral laboratory interface (RLI) laboratory information system (LIS) to the newer electronic orders and resulting (EOR) system using the Covance expanded laboratory management services (ELMS) NexGEN database from 2016-2020. The Donabedian model served as the framework for this study. The sampling population for the study consisted of 3 different intercompany referral labs that converted from the RLI model to the EOR model to transfer the patient’s laboratory results from system to system. Multiple linear regression was used to address the association between each referral lab to determine if the lab met the established turnaround time. Unique test codes were created for the EOR and the RLI systems, and these test codes helped track the number of successful and unsuccessful data transmissions. The results showed that out of the 3 selected labs, 2 showed an improvement in the resulting time needed to transfer the patient data from system to system. The results of this study contribute to positive social change by providing information on minimizing human error due to automation and linking LISs to preserve the quality of data and patient care being provided. Linking LISs can help ensures the delivery of quality results and improves the patient treatment outcomes.

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