Proceedings of the 2016 International Conference on Mechatronics, Control and Automation Engineering

Modeling Analysis Post Acute- Care Impact of National Health Insurance in Taiwan

Authors
Hsiao-Man Lin, Chi-Chang Tsai, Yu-Hui Tao
Corresponding Author
Hsiao-Man Lin
Available Online July 2016.
DOI
10.2991/mcae-16.2016.46How to use a DOI?
Keywords
cerebral vascular accident; post-acute care; national health insurance research database; HLM
Abstract

This study intends to use the National Health Insurance Research Database to collect "Cohort Dataset". NHI enrollees from 2013 to 2014 before random sampling for analysis in accordance with code 430 to 437 of the International Classification of Diseases, the 9th Revision. By constructing hierarchical linear models (HLM), the patient-ward level can be statistically analyzed. Meanwhile, the repetitive measurement at different time points within the the 3st, the 6rd, and the 12th month, can also be conduct for the service mode between a post-acute care and a general ward.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Mechatronics, Control and Automation Engineering
Series
Advances in Engineering Research
Publication Date
July 2016
ISBN
978-94-6252-237-4
ISSN
2352-5401
DOI
10.2991/mcae-16.2016.46How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hsiao-Man Lin
AU  - Chi-Chang Tsai
AU  - Yu-Hui Tao
PY  - 2016/07
DA  - 2016/07
TI  - Modeling Analysis Post Acute- Care Impact of National Health Insurance in Taiwan
BT  - Proceedings of the 2016 International Conference on Mechatronics, Control and Automation Engineering
PB  - Atlantis Press
SP  - 194
EP  - 197
SN  - 2352-5401
UR  - https://doi.org/10.2991/mcae-16.2016.46
DO  - 10.2991/mcae-16.2016.46
ID  - Lin2016/07
ER  -