Enhancing communication in radiology using a hybrid computer-human based system.


Journal

Clinical imaging
ISSN: 1873-4499
Titre abrégé: Clin Imaging
Pays: United States
ID NLM: 8911831

Informations de publication

Date de publication:
May 2020
Historique:
received: 23 01 2019
revised: 05 09 2019
accepted: 10 09 2019
pubmed: 1 2 2020
medline: 4 9 2020
entrez: 1 2 2020
Statut: ppublish

Résumé

Communication and physician burn out are major issues within Radiology. This study is designed to determine the utilization and cost benefit of a hybrid computer/human communication tool to aid in relay of clinically important imaging findings. Analysis of the total number of tickets, (requests for assistance) placed, the type of ticket and the turn-around time was performed. Cost analysis of a hybrid computer/human communication tool over a one-year period was based on human costs as a multiple of the time to close the ticket. Additionally, we surveyed a cohort of radiologists to determine their use of and satisfaction with this system. 14,911 tickets were placed in the 6-month period, of which 11,401 (76.4%) were requests to "Get the Referring clinician on the phone." The mean time to resolution (TTR) of these tickets was 35.3 (±17.4) minutes. Ninety percent (72/80) of radiologists reported being able to interpret a new imaging study instead of waiting to communicate results for the earlier study, compared to 50% previously. 87.5% of radiologists reported being able to read more cases after this system was introduced. The cost analysis showed a cost savings of up to $101.12 per ticket based on the length of time that the ticket took to close and the total number of placed tickets. A computer/human communication tool can be translated to significant time savings and potentially increasing productivity of radiologists. Additionally, the system may have a cost savings by freeing the radiologist from tracking down referring clinicians prior to communicating findings.

Identifiants

pubmed: 32004954
pii: S0899-7071(19)30266-9
doi: 10.1016/j.clinimag.2019.09.017
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

95-98

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

William Moore (W)

NYU Langone Health, Department of Radiology, 660 1st Avenue, 3rd Floor, New York, NY 10016, United States of America. Electronic address: William.Moore@nyulangone.org.

Ankur Doshi (A)

NYU Langone Health, Department of Radiology, 660 1st Avenue, 3rd Floor, New York, NY 10016, United States of America.

Soterios Gyftopoulos (S)

NYU Langone Health, Department of Radiology, 660 1st Avenue, 3rd Floor, New York, NY 10016, United States of America.

Priya Bhattacharji (P)

NYU Langone Health, Department of Radiology, 660 1st Avenue, 3rd Floor, New York, NY 10016, United States of America.

Andrew B Rosenkrantz (AB)

NYU Langone Health, Department of Radiology, 660 1st Avenue, 3rd Floor, New York, NY 10016, United States of America.

Stella K Kang (SK)

NYU Langone Health, Department of Radiology, 660 1st Avenue, 3rd Floor, New York, NY 10016, United States of America.

Michael Recht (M)

NYU Langone Health, Department of Radiology, 660 1st Avenue, 3rd Floor, New York, NY 10016, United States of America.

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Classifications MeSH