1.
Mee, Sarah Jane; Daher, Salam
Alexa, M.D. Journal Article
In: IEEE Internet of Things Magazine, vol. 55, iss. 2, pp. 85-89, 2022, ISSN: 1558-0814.
@article{mee2022alexa,
title = {Alexa, M.D.},
author = {Sarah Jane Mee and Salam Daher},
editor = {Joanna F. Defranca},
url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9714086undefined},
doi = {10.1109/MC.2021.3126528},
issn = {1558-0814},
year = {2022},
date = {2022-02-14},
urldate = {2022-02-14},
journal = {IEEE Internet of Things Magazine},
volume = {55},
issue = {2},
pages = {85-89},
abstract = {In the health-care field, intelligent personal assistants (IPAs) are commonly used as diagnostic guides for health-care professionals or support for patients. This article expands the use of IPAs in health care by demonstrating using Alexa to train health-care personnel.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In the health-care field, intelligent personal assistants (IPAs) are commonly used as diagnostic guides for health-care professionals or support for patients. This article expands the use of IPAs in health care by demonstrating using Alexa to train health-care personnel.
2.
Sanchez, Vivian; Daher, Salam
Automating Virtual Patients Responses for Medical Simulation Conference
Great Minds in STEM, 2020.
@conference{sanchez2020automating,
title = {Automating Virtual Patients Responses for Medical Simulation},
author = {Vivian Sanchez and Salam Daher},
url = {https://drive.google.com/file/d/1wE61kpo1ljqZksb6jb4r4xfILhb7J0AA/view?usp=sharing},
year = {2020},
date = {2020-10-01},
urldate = {2020-10-01},
booktitle = {Great Minds in STEM},
abstract = {Voice assistants are not being used enough in healthcare. Health students train on simulators that requires members of faculty to control patient responses. This takes up resources and limits the students to certain training times. We created an Alexa skill for a stroke patient scenario, connected it to a 3D character, and explored the capabilities and limitations of the Amazon Alexa. Healthcare students can then interact with the Alexa patient without the faculty feeding the answers to the patient. By supplementing existing simulations with an automated way to respond while still providing controlled answers can allow more doctors and nurses to practice without waiting for an available instructor.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Voice assistants are not being used enough in healthcare. Health students train on simulators that requires members of faculty to control patient responses. This takes up resources and limits the students to certain training times. We created an Alexa skill for a stroke patient scenario, connected it to a 3D character, and explored the capabilities and limitations of the Amazon Alexa. Healthcare students can then interact with the Alexa patient without the faculty feeding the answers to the patient. By supplementing existing simulations with an automated way to respond while still providing controlled answers can allow more doctors and nurses to practice without waiting for an available instructor.
2022
Sarah Jane Mee, Salam Daher
Alexa, M.D. Journal Article
In: IEEE Internet of Things Magazine, vol. 55, iss. 2, pp. 85-89, 2022, ISSN: 1558-0814.
Abstract | Links | BibTeX | Tags: sda
@article{mee2022alexa,
title = {Alexa, M.D.},
author = {Sarah Jane Mee and Salam Daher},
editor = {Joanna F. Defranca},
url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9714086undefined},
doi = {10.1109/MC.2021.3126528},
issn = {1558-0814},
year = {2022},
date = {2022-02-14},
urldate = {2022-02-14},
journal = {IEEE Internet of Things Magazine},
volume = {55},
issue = {2},
pages = {85-89},
abstract = {In the health-care field, intelligent personal assistants (IPAs) are commonly used as diagnostic guides for health-care professionals or support for patients. This article expands the use of IPAs in health care by demonstrating using Alexa to train health-care personnel.},
keywords = {sda},
pubstate = {published},
tppubtype = {article}
}
In the health-care field, intelligent personal assistants (IPAs) are commonly used as diagnostic guides for health-care professionals or support for patients. This article expands the use of IPAs in health care by demonstrating using Alexa to train health-care personnel.
2020
Vivian Sanchez, Salam Daher
Automating Virtual Patients Responses for Medical Simulation Conference
Great Minds in STEM, 2020.
Abstract | Links | BibTeX | Tags: 2020, Salam Daher, sda, Vivian Sanchez
@conference{sanchez2020automating,
title = {Automating Virtual Patients Responses for Medical Simulation},
author = {Vivian Sanchez and Salam Daher},
url = {https://drive.google.com/file/d/1wE61kpo1ljqZksb6jb4r4xfILhb7J0AA/view?usp=sharing},
year = {2020},
date = {2020-10-01},
urldate = {2020-10-01},
booktitle = {Great Minds in STEM},
abstract = {Voice assistants are not being used enough in healthcare. Health students train on simulators that requires members of faculty to control patient responses. This takes up resources and limits the students to certain training times. We created an Alexa skill for a stroke patient scenario, connected it to a 3D character, and explored the capabilities and limitations of the Amazon Alexa. Healthcare students can then interact with the Alexa patient without the faculty feeding the answers to the patient. By supplementing existing simulations with an automated way to respond while still providing controlled answers can allow more doctors and nurses to practice without waiting for an available instructor.},
keywords = {2020, Salam Daher, sda, Vivian Sanchez},
pubstate = {published},
tppubtype = {conference}
}
Voice assistants are not being used enough in healthcare. Health students train on simulators that requires members of faculty to control patient responses. This takes up resources and limits the students to certain training times. We created an Alexa skill for a stroke patient scenario, connected it to a 3D character, and explored the capabilities and limitations of the Amazon Alexa. Healthcare students can then interact with the Alexa patient without the faculty feeding the answers to the patient. By supplementing existing simulations with an automated way to respond while still providing controlled answers can allow more doctors and nurses to practice without waiting for an available instructor.