Assessing information sources to elucidate diagnostic process errors in radiologic imaging — a human factors framework | Zendy

Laila Cochón | Zendy; Ronilda Lacson | Zendy; Aijia Wang | Zendy; Neena Kapoor | Zendy; Ivan K. Ip | Zendy; Sonali Desai | Zendy; Allen Kachalia | Zendy; Jack T. Dennerlein | Zendy; James C. Benneyan | Zendy; Ramin Khorasani | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Assessing information sources to elucidate diagnostic process errors in radiologic imaging — a human factors framework

Author(s) -

Laila Cochón,

Ronilda Lacson,

Aijia Wang,

Neena Kapoor,

Ivan K. Ip,

Sonali Desai,

Allen Kachalia,

Jack T. Dennerlein,

James C. Benneyan,

Ramin Khorasani

Publication year - 2018

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocy103

Subject(s) - workflow , patient safety , medical imaging , quality assurance , computer science , medicine , process (computing) , medical physics , health care , artificial intelligence , pathology , external quality assessment , database , economics , economic growth , operating system

To assess information sources that may elucidate errors related to radiologic diagnostic imaging, quantify the incidence of potential safety events from each source, and quantify the number of steps involved from diagnostic imaging chain and socio-technical factors.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research