Literature DB >> 30297304

Reducing repeat imaging in hepato-pancreatico-biliary surgical cancer care through shared diagnostic imaging repositories.

Julie Hallet1, Natalie G Coburn2, Amanda Alberga3, Longdi Fu3, Sukirtha Tharmalingam4, Kaitlyn Beyfuss5, Laurent Milot6, Calvin H L Law7.   

Abstract

BACKGROUND: With regionalization of care, patients often undergo treatment in institutions other than where the initial investigation is conducted. This study assessed the impact of a shared diagnostic imaging repository (SDIR) on processes of care and outcomes in hepato-pancreatico-biliary (HPB) cancer surgery.
METHODS: Provincial administrative datasets were linked to study HPB cancer patients operated at a regional cancer centre (2003-2014). SDIR and non-SDIR groups were based on where initial imaging (CT or MRI) was conducted. Outcomes were repeat imaging before surgery and wait times for surgery from initial imaging and surgical consultation.
RESULTS: Of 839 patients, 474 were from SDIR institutions. Fewer SDIR patients underwent any repeat imaging (55.9% vs. 75.3%; p < 0.01) and repeat imaging with same modality and protocol (24.7% vs. 43.0%; p < 0.01). Median wait time to surgery from initial imaging (64 Vs. 79 days; p < 0.01) and surgical consultation (39 Vs. 45 days; p = 0.046) was shorter with SDIR. SDIR patients had lower adjusted odds of any repeat imaging (OR 0.20 [0.14-0.30]), and repeat imaging with same modality and protocol (OR 0.58 [0.41-0.80]).
CONCLUSION: Radiology sharing with SDIR reduced repeat imaging for HPB cancer surgery, including potentially redundant repeat imaging with same protocol, and shortened wait time to surgical care.
Copyright © 2018 International Hepato-Pancreato-Biliary Association Inc. Published by Elsevier Ltd. All rights reserved.

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Year:  2018        PMID: 30297304     DOI: 10.1016/j.hpb.2018.06.1807

Source DB:  PubMed          Journal:  HPB (Oxford)        ISSN: 1365-182X            Impact factor:   3.647


  1 in total

1.  Deterministic vs. Probabilistic: Best Practices for Patient Matching Based on a Comparison of Two Implementations.

Authors:  Jason Nagels; Sida Wu; Valentina Gorokhova
Journal:  J Digit Imaging       Date:  2019-12       Impact factor: 4.056

  1 in total

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