Toward automatic reporting of infectious diseases

Hsiao Mei Tsao; Chi Ming Chang; Jen Hsiang Chuang; Ding Ping Liu; Mei Lien Pan; Da Wei Wang

doi:10.3233/978-1-61499-830-3-808

Toward automatic reporting of infectious diseases

Hsiao Mei Tsao, Chi Ming Chang, Jen Hsiang Chuang, Ding Ping Liu, Mei Lien Pan, Da Wei Wang^*

^*Corresponding author for this work

Institute of Hospital and Health Care Administration

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Accurate, complete, and timely disease surveillance data are vital for disease control. We report a national scale effort to automatically extract information from electronic medical records as well as electronic laboratory systems. The extracted information is then transferred to the centers of disease control after a proper confirmation process. The coverage rates of the automated reporting systems are over 50%. Not only is the workload of surveillance greatly reduced, but also reporting is completed in near real-time. From our experiences, a system sustainable strategy, well-defined working plan, and multifaceted team coordination work effectively. Knowledge management reduces the cost to maintain the system. Training courses with hands-on practice and reference documents are useful for LOINC adoption.

Original language	English
Title of host publication	MEDINFO 2017
Subtitle of host publication	Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics
Editors	Zhao Dongsheng, Adi V. Gundlapalli, Jaulent Marie-Christine
Publisher	IOS Press
Pages	808-812
Number of pages	5
ISBN (Electronic)	9781614998297
DOIs	https://doi.org/10.3233/978-1-61499-830-3-808
State	Published - 2017
Event	16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017 - Hangzhou, China Duration: 21 Aug 2017 → 25 Aug 2017

Publication series

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

Conference

Conference	16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017
Country/Territory	China
City	Hangzhou
Period	21/08/17 → 25/08/17

Keywords

Electronic health records
Logical observation identifiers names and codes
Public health surveillance

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3233/978-1-61499-830-3-808

Cite this

Tsao, H. M., Chang, C. M., Chuang, J. H., Liu, D. P., Pan, M. L., & Wang, D. W. (2017). Toward automatic reporting of infectious diseases. In Z. Dongsheng, A. V. Gundlapalli, & J. Marie-Christine (Eds.), MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics (pp. 808-812). (Studies in Health Technology and Informatics; Vol. 245). IOS Press. https://doi.org/10.3233/978-1-61499-830-3-808

Tsao, Hsiao Mei ; Chang, Chi Ming ; Chuang, Jen Hsiang et al. / Toward automatic reporting of infectious diseases. MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. editor / Zhao Dongsheng ; Adi V. Gundlapalli ; Jaulent Marie-Christine. IOS Press, 2017. pp. 808-812 (Studies in Health Technology and Informatics).

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author = "Tsao, {Hsiao Mei} and Chang, {Chi Ming} and Chuang, {Jen Hsiang} and Liu, {Ding Ping} and Pan, {Mei Lien} and Wang, {Da Wei}",

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Tsao, HM, Chang, CM, Chuang, JH, Liu, DP, Pan, ML & Wang, DW 2017, Toward automatic reporting of infectious diseases. in Z Dongsheng, AV Gundlapalli & J Marie-Christine (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. 808-812, 16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017, Hangzhou, China, 21/08/17. https://doi.org/10.3233/978-1-61499-830-3-808

Toward automatic reporting of infectious diseases. / Tsao, Hsiao Mei; Chang, Chi Ming; Chuang, Jen Hsiang et al.
MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. ed. / Zhao Dongsheng; Adi V. Gundlapalli; Jaulent Marie-Christine. IOS Press, 2017. p. 808-812 (Studies in Health Technology and Informatics; Vol. 245).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Tsao, Hsiao Mei

AU - Chang, Chi Ming

AU - Chuang, Jen Hsiang

AU - Liu, Ding Ping

AU - Pan, Mei Lien

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PY - 2017

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AB - Accurate, complete, and timely disease surveillance data are vital for disease control. We report a national scale effort to automatically extract information from electronic medical records as well as electronic laboratory systems. The extracted information is then transferred to the centers of disease control after a proper confirmation process. The coverage rates of the automated reporting systems are over 50%. Not only is the workload of surveillance greatly reduced, but also reporting is completed in near real-time. From our experiences, a system sustainable strategy, well-defined working plan, and multifaceted team coordination work effectively. Knowledge management reduces the cost to maintain the system. Training courses with hands-on practice and reference documents are useful for LOINC adoption.

KW - Electronic health records

KW - Logical observation identifiers names and codes

KW - Public health surveillance

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PB - IOS Press

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Y2 - 21 August 2017 through 25 August 2017

ER -

Tsao HM, Chang CM, Chuang JH, Liu DP, Pan ML, Wang DW. Toward automatic reporting of infectious diseases. In Dongsheng Z, Gundlapalli AV, Marie-Christine J, editors, MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. IOS Press. 2017. p. 808-812. (Studies in Health Technology and Informatics). doi: 10.3233/978-1-61499-830-3-808

Toward automatic reporting of infectious diseases

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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