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No treatment without a diagnosis: government regulatory exclusion influence on employees' work environments, behaviors, attitude, and engagement
Dissertation   Open access

No treatment without a diagnosis: government regulatory exclusion influence on employees' work environments, behaviors, attitude, and engagement

Jaime Alberto Nieto Sierra
Doctor of Business Administration (D.B.A.), Drexel University
01 Apr 2023
DOI:
https://doi.org/10.17918/00001606
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Abstract

Health services administration Anatomy, Pathological Clinical Laboratory Improvement Amendments of 1988 (United States) Diagnostic errors Histology, Pathological Justice theory Social identity iheory
The tasks performed in the histological laboratory have reached a level of complexity that requires a wide breadth of knowledge, skills, and abilities. Laboratory professionals need advanced scientific training to assure precision and accuracy through preanalytical through postanalytical processes due to overly complex processing and testing in histopathology laboratories where human tissue samples are tested for various diseases. A review of the literature has not revealed any studies that have directly examined the question of the effects that government regulatory exclusion has had on the "discredited" career's professional identity. This study explored the consequences that have resulted from the current regulatory environment of histological personnel who oversee preanalytical processes in anatomic pathology laboratories. Additionally, this study attempted to discern the relationship between disenfranchisement of the "out-group" and their job satisfaction, intrinsic professional drivers, self-development beliefs, skill acquisition and improvement, turnover rates, and perceived units' performance and quality. It is essential that education and training in histological sciences keep pace with changes in emerging technologies to continue to provide high-quality patient care. Without proper technical education, incorrect procedures may be used, resulting in increased medical errors through lower efficacy in diagnostic services, undesirable patient outcomes, and increased healthcare costs in terms of forgone revenue.

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