Uncovering hidden topics in Hong Kong clinical research through hospital authority convention publications

Zoie Shui-Yee Wong; Wai-Man Chan; Eliza Lai-Yi Wong; Patsy Yuen-Kwan Chau; Kwok-Leung Tsui; Hong Fung

doi:10.3233/978-1-61499-830-3-624

Uncovering hidden topics in Hong Kong clinical research through hospital authority convention publications

Zoie Shui-Yee Wong^*, Wai-Man Chan, Eliza Lai-Yi Wong, Patsy Yuen-Kwan Chau, Kwok-Leung Tsui, Hong Fung

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

Uncovering clinical research trends allows us to understand the direction of healthcare services and is essential for longerterm healthcare planning. The Hospital Authority Convention is a mainstream annual healthcare conference that gathers up-to-date Hong Kong medical research. We propose to use state-of-the-art medical document mining and topic modelling methods to uncover latent themes and structures in the publications. We collected 742 articles from HA Convention from the year 2013 to 2016 and selected 56 publications from the category of "Clinical Safety and Quality Service" for further analysis. Applying natural language processing and Latent Dirichlet Allocation (LDA) methods, we identified 7 potential topics, namely: surgical operation, hospital discharge, medical error, nursing procedure, service performance assessment, patient and staff engagement, and admission algorithm and standardisation. This exploratory study demonstrates that key themes exist in the annual HA Convention and we observe potential changes in healthcare services focus over the years in the selected category.

Original language	English
Title of host publication	MEDINFO 2017 : Precision Healthcare through Informatics
Subtitle of host publication	Proceedings of the 16th World Congress on Medical and Health Informatics
Editors	Adi V. Gundlapalli, Marie-Christine Jaulent, Dongsheng Zhao
Publisher	IOS Press
Pages	624-628
ISBN (Electronic)	9781614998303
ISBN (Print)	9781614998297
DOIs	https://doi.org/10.3233/978-1-61499-830-3-624
Publication status	Published - 2017
Event	The 16^th World Congress of Medical and Health Informatics : Precision Healthcare through Informatics (MedInfo 2017) - Hangzhou, China Duration: 21 Aug 2017 → 25 Aug 2017 http://medinfo2017.org/en/wp-content/uploads/2017/09/Printed-Program-version-4.0-.pdf http://www.medinfo2017.org/

Publication series

Name	Studies in Health Technology and Informatics
Volume	245
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	The 16^th World Congress of Medical and Health Informatics : Precision Healthcare through Informatics (MedInfo 2017)
Abbreviated title	MedInfo 2017
Place	China
City	Hangzhou
Period	21/08/17 → 25/08/17
Internet address	http://medinfo2017.org/en/wp-content/uploads/2017/09/Printed-Program-version-4.0-.pdf http://www.medinfo2017.org/

Research Keywords

Data mining
Medical informatics
Unsupervised machine learning

Access Output

10.3233/978-1-61499-830-3-624

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

Wong, Z. S.-Y., Chan, W.-M., Wong, E. L.-Y., Chau, P. Y.-K., Tsui, K.-L., & Fung, H. (2017). Uncovering hidden topics in Hong Kong clinical research through hospital authority convention publications. In A. V. Gundlapalli, M.-C. Jaulent, & D. Zhao (Eds.), MEDINFO 2017 : Precision Healthcare through Informatics: Proceedings of the 16th World Congress on Medical and Health Informatics (pp. 624-628). (Studies in Health Technology and Informatics; Vol. 245). IOS Press. https://doi.org/10.3233/978-1-61499-830-3-624

Wong, Zoie Shui-Yee ; Chan, Wai-Man ; Wong, Eliza Lai-Yi et al. / Uncovering hidden topics in Hong Kong clinical research through hospital authority convention publications. MEDINFO 2017 : Precision Healthcare through Informatics: Proceedings of the 16th World Congress on Medical and Health Informatics. editor / Adi V. Gundlapalli ; Marie-Christine Jaulent ; Dongsheng Zhao. IOS Press, 2017. pp. 624-628 (Studies in Health Technology and Informatics).

@inproceedings{1dcfc8b95f5e40f3933c03a8cce67b25,

title = "Uncovering hidden topics in Hong Kong clinical research through hospital authority convention publications",

abstract = "Uncovering clinical research trends allows us to understand the direction of healthcare services and is essential for longerterm healthcare planning. The Hospital Authority Convention is a mainstream annual healthcare conference that gathers up-to-date Hong Kong medical research. We propose to use state-of-the-art medical document mining and topic modelling methods to uncover latent themes and structures in the publications. We collected 742 articles from HA Convention from the year 2013 to 2016 and selected 56 publications from the category of {"}Clinical Safety and Quality Service{"} for further analysis. Applying natural language processing and Latent Dirichlet Allocation (LDA) methods, we identified 7 potential topics, namely: surgical operation, hospital discharge, medical error, nursing procedure, service performance assessment, patient and staff engagement, and admission algorithm and standardisation. This exploratory study demonstrates that key themes exist in the annual HA Convention and we observe potential changes in healthcare services focus over the years in the selected category.",

keywords = "Data mining, Medical informatics, Unsupervised machine learning",

author = "Wong, {Zoie Shui-Yee} and Wai-Man Chan and Wong, {Eliza Lai-Yi} and Chau, {Patsy Yuen-Kwan} and Kwok-Leung Tsui and Hong Fung",

year = "2017",

doi = "10.3233/978-1-61499-830-3-624",

language = "English",

isbn = "9781614998297",

series = "Studies in Health Technology and Informatics",

publisher = "IOS Press",

pages = "624--628",

editor = "Gundlapalli, {Adi V.} and Marie-Christine Jaulent and Dongsheng Zhao",

booktitle = "MEDINFO 2017 : Precision Healthcare through Informatics",

address = "Netherlands",

note = "The 16<sup>th</sup> World Congress of Medical and Health Informatics : Precision Healthcare through Informatics (MedInfo 2017), MedInfo 2017 ; Conference date: 21-08-2017 Through 25-08-2017",

url = "http://medinfo2017.org/en/wp-content/uploads/2017/09/Printed-Program-version-4.0-.pdf, http://www.medinfo2017.org/",

}

Wong, ZS-Y, Chan, W-M, Wong, EL-Y, Chau, PY-K, Tsui, K-L & Fung, H 2017, Uncovering hidden topics in Hong Kong clinical research through hospital authority convention publications. in AV Gundlapalli, M-C Jaulent & D Zhao (eds), MEDINFO 2017 : Precision Healthcare through Informatics: Proceedings of the 16th World Congress on Medical and Health Informatics. Studies in Health Technology and Informatics, vol. 245, IOS Press, pp. 624-628, The 16^th World Congress of Medical and Health Informatics : Precision Healthcare through Informatics (MedInfo 2017), Hangzhou, China, 21/08/17. https://doi.org/10.3233/978-1-61499-830-3-624

Uncovering hidden topics in Hong Kong clinical research through hospital authority convention publications. / Wong, Zoie Shui-Yee; Chan, Wai-Man; Wong, Eliza Lai-Yi et al.
MEDINFO 2017 : Precision Healthcare through Informatics: Proceedings of the 16th World Congress on Medical and Health Informatics. ed. / Adi V. Gundlapalli; Marie-Christine Jaulent; Dongsheng Zhao. IOS Press, 2017. p. 624-628 (Studies in Health Technology and Informatics; Vol. 245).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Uncovering hidden topics in Hong Kong clinical research through hospital authority convention publications

AU - Wong, Zoie Shui-Yee

AU - Chan, Wai-Man

AU - Wong, Eliza Lai-Yi

AU - Chau, Patsy Yuen-Kwan

AU - Tsui, Kwok-Leung

AU - Fung, Hong

PY - 2017

Y1 - 2017

N2 - Uncovering clinical research trends allows us to understand the direction of healthcare services and is essential for longerterm healthcare planning. The Hospital Authority Convention is a mainstream annual healthcare conference that gathers up-to-date Hong Kong medical research. We propose to use state-of-the-art medical document mining and topic modelling methods to uncover latent themes and structures in the publications. We collected 742 articles from HA Convention from the year 2013 to 2016 and selected 56 publications from the category of "Clinical Safety and Quality Service" for further analysis. Applying natural language processing and Latent Dirichlet Allocation (LDA) methods, we identified 7 potential topics, namely: surgical operation, hospital discharge, medical error, nursing procedure, service performance assessment, patient and staff engagement, and admission algorithm and standardisation. This exploratory study demonstrates that key themes exist in the annual HA Convention and we observe potential changes in healthcare services focus over the years in the selected category.

AB - Uncovering clinical research trends allows us to understand the direction of healthcare services and is essential for longerterm healthcare planning. The Hospital Authority Convention is a mainstream annual healthcare conference that gathers up-to-date Hong Kong medical research. We propose to use state-of-the-art medical document mining and topic modelling methods to uncover latent themes and structures in the publications. We collected 742 articles from HA Convention from the year 2013 to 2016 and selected 56 publications from the category of "Clinical Safety and Quality Service" for further analysis. Applying natural language processing and Latent Dirichlet Allocation (LDA) methods, we identified 7 potential topics, namely: surgical operation, hospital discharge, medical error, nursing procedure, service performance assessment, patient and staff engagement, and admission algorithm and standardisation. This exploratory study demonstrates that key themes exist in the annual HA Convention and we observe potential changes in healthcare services focus over the years in the selected category.

KW - Data mining

KW - Medical informatics

KW - Unsupervised machine learning

UR - http://www.scopus.com/inward/record.url?scp=85040522912&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85040522912&origin=recordpage

U2 - 10.3233/978-1-61499-830-3-624

DO - 10.3233/978-1-61499-830-3-624

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781614998297

T3 - Studies in Health Technology and Informatics

SP - 624

EP - 628

BT - MEDINFO 2017 : Precision Healthcare through Informatics

A2 - Gundlapalli, Adi V.

A2 - Jaulent, Marie-Christine

A2 - Zhao, Dongsheng

PB - IOS Press

T2 - The 16<sup>th</sup> World Congress of Medical and Health Informatics : Precision Healthcare through Informatics (MedInfo 2017)

Y2 - 21 August 2017 through 25 August 2017

ER -

Wong ZSY, Chan WM, Wong ELY, Chau PYK, Tsui KL, Fung H. Uncovering hidden topics in Hong Kong clinical research through hospital authority convention publications. In Gundlapalli AV, Jaulent MC, Zhao D, editors, MEDINFO 2017 : Precision Healthcare through Informatics: Proceedings of the 16th World Congress on Medical and Health Informatics. IOS Press. 2017. p. 624-628. (Studies in Health Technology and Informatics). doi: 10.3233/978-1-61499-830-3-624

Uncovering hidden topics in Hong Kong clinical research through hospital authority convention publications

Abstract

Publication series

Conference

Research Keywords

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this