@inproceedings{02664ae3518d40c2a21846c25aa6eab0,
title = "Using a mobile device application to support emergency clinicians in diagnosing pulmonary embolism",
abstract = "Pulmonary embolism is a difficult disease to diagnose in the emergency department. It may be fatal if the diagnosis is missed. Clinical practice guidelines and textbooks publish pretest diagnostic tools and algorithms that facilitate the diagnosis of pulmonary embolism. We developed and administered a questionnaire that determined that such tools can be difficult to remember to use. We also designed an Android application to facilitate diagnosis of pulmonary embolism and used a questionnaire to evaluate the application.",
keywords = "Clinical, Decision support systems, Mobile applications, Pulmonary embolism",
author = "Huang, {Chun Yen} and Cheng, {Po Liang} and Chang, {Po Lun}",
note = "Publisher Copyright: {\textcopyright} 2017 International Medical Informatics Association (IMIA) and IOS Press.; 16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017 ; Conference date: 21-08-2017 Through 25-08-2017",
year = "2017",
doi = "10.3233/978-1-61499-830-3-1363",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press BV",
pages = "1363",
editor = "Gundlapalli, {Adi V.} and Jaulent Marie-Christine and Zhao Dongsheng",
booktitle = "MEDINFO 2017",
address = "Netherlands",
}