@inproceedings{9763c935248f44319c42140ba2cbacdd,
title = "Development of a Smart Hospital Assistant: Integrating artificial intelligence and a voice-user interface for improved surgical outcomes",
abstract = "Efficiency and patient safety are top priorities in any surgical operation. One effective way to achieve these objectives is automating many of the logistical and routine tasks that occur in the operating room. Inspired by smart assistant technology already commonplace in the consumer sector, we engineered the Smart Hospital Assistant (SHA), a smart, voice-controlled virtual assistant that handles natural speech recognition while executing a plurality of functions to aid surgery. Simulated surgeries showed that the SHA reduced operating time, optimized surgical staff resources, and reduced the number of major touch points that can lead to surgical site infections. The SHA not only shows its potential in the operating room, but also in other healthcare environments that may benefit from having virtual smart assistant technology.",
keywords = "Artificial intelligence, Smart Hospital Assistant, natural language processing, smart assistant, voice-controlled",
author = "Kim, {Jeong Hun} and Richard Um and Jonathan Liu and Japesh Patel and Eli Curry and Fariba Aghabaglou and Smruti Mahapatra and Ana Ainechi and Yohannes Tsehay and Jeff Ehresman and Brian Hwang and Betty Tyler and Rajiv Iyer and Nicholas Theodore and Amir Manbachi",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and Applications ; Conference date: 15-02-2021 Through 19-02-2021",
year = "2021",
doi = "10.1117/12.2580995",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Deserno, {Thomas M.} and Park, {Brian J.}",
booktitle = "Medical Imaging 2021",
}