Results of an Italian survey on teleradiology View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-08

AUTHORS

Francesca Coppola, Corrado Bibbolino, Roberto Grassi, Luisa Pierotti, Roberto Silverio, Francesco Lassandro, Emanuele Neri, Daniele Regge

ABSTRACT

OBJECTIVES: The aim of this study is to present the results of the Italian survey on teleradiology (TR). METHODS: Two radiologists created an online electronic survey using the Survey Monkey web-based tool. The questionnaire was then improved by suggestions from a multidisciplinary group of experts. In its final form, the survey consisted of 19 multiple-choice questions. Space was left below each question for participants to add their personal comments. Members of Italian Society of Medical Radiology (SIRM) were given 2 weeks to perform the survey. RESULTS: A total of 1599 radiologists, corresponding to 17 % of all SIRM radiologists, participated into the online survey. As a result, 62 % of participants have a positive opinion on teleradiology, while 80 % including 18 % with a negative opinion believe that teleradiology will have a future. 55 % of responders (n = 874) use teleradiology in their clinical practice. The majority of users adopt intra-mural teleradiology for coverage of emergencies (47 %), of night and weekend shifts (37 %) or to even out distribution workload (33 %). Most responders still show concern on the use of teleradiology. In particular, they think that teleradiology is too impersonal (40 %), and that it is responsible for insufficient communication with the referring clinician (39 %). CONCLUSIONS: The majority of Italian radiologists are favorable to teleradiology. However, they have concerns that teleradiology may further reduce communication with the referring clinician ad patient. More... »

PAGES

652-659

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11547-016-0640-7

DOI

http://dx.doi.org/10.1007/s11547-016-0640-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1002873346

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27108418


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