Literature DB >> 28981372

A Novel Approach to Improving Utilization of Laboratory Testing.

Yaolin Zhou, Gary W Procop, Jacquelyn D Riley.   

Abstract

CONTEXT: - The incorporation of best practice guidelines into one's institution is a challenging goal of utilization management, and the successful adoption of such guidelines depends on institutional context. Laboratorians who have access to key clinical data are well positioned to understand existing local practices and promote more appropriate laboratory testing.
OBJECTIVE: - To apply a novel approach to utilization management by reviewing international clinical guidelines and current institutional practices to create a reliable mechanism to improve detection and reduce unnecessary tests in our patient population.
DESIGN: - We targeted a frequently ordered genetic test for HFE-related hereditary hemochromatosis, a disorder of low penetrance. After reviewing international practice guidelines, we evaluated 918 HFE tests and found that all patients with new diagnoses had transferrin saturation levels that were significantly higher than those of patients with nonrisk genotypes (72% versus 42%; P < .001).
RESULTS: - Our "one-button" order that restricts HFE genetic tests to patients with transferrin saturation greater than 45% is consistent with published practice guidelines and detected 100% of new patients with HFE-related hereditary hemochromatosis.
CONCLUSIONS: - Our proposed algorithm differs from previously published approaches in that it incorporates both clinical practice guidelines and local physician practices, yet requires no additional hands-on effort from pathologists or clinicians. This novel approach to utilization management embraces the role of pathologists as leaders in promoting high-quality patient care in local health care systems.

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Year:  2017        PMID: 28981372     DOI: 10.5858/arpa.2017-0031-OA

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN: 0003-9985            Impact factor:   5.534


  1 in total

1.  An efficient machine learning-based approach for screening individuals at risk of hereditary haemochromatosis.

Authors:  Patricia Martins Conde; Thomas Sauter; Thanh-Phuong Nguyen
Journal:  Sci Rep       Date:  2020-11-26       Impact factor: 4.379

  1 in total

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