Cargando…

Identifying Unmet Treatment Needs for Patients With Osteoporotic Fracture: Feasibility Study for an Electronic Clinical Surveillance System

BACKGROUND: Traditional clinical surveillance relied on the results from clinical trials and observational studies of administrative databases. However, these studies not only required many valuable resources but also faced a very long time lag. OBJECTIVE: This study aimed to illustrate a practical...

Descripción completa

Detalles Bibliográficos
Autores principales: Lin, Fong-Ci, Wang, Chen-Yu, Shang, Rung Ji, Hsiao, Fei-Yuan, Lin, Mei-Shu, Hung, Kuan-Yu, Wang, Jui, Lin, Zhen-Fang, Lai, Feipei, Shen, Li-Jiuan, Huang, Chih-Fen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5941097/
https://www.ncbi.nlm.nih.gov/pubmed/29691201
http://dx.doi.org/10.2196/jmir.9477
_version_ 1783321226415964160
author Lin, Fong-Ci
Wang, Chen-Yu
Shang, Rung Ji
Hsiao, Fei-Yuan
Lin, Mei-Shu
Hung, Kuan-Yu
Wang, Jui
Lin, Zhen-Fang
Lai, Feipei
Shen, Li-Jiuan
Huang, Chih-Fen
author_facet Lin, Fong-Ci
Wang, Chen-Yu
Shang, Rung Ji
Hsiao, Fei-Yuan
Lin, Mei-Shu
Hung, Kuan-Yu
Wang, Jui
Lin, Zhen-Fang
Lai, Feipei
Shen, Li-Jiuan
Huang, Chih-Fen
author_sort Lin, Fong-Ci
collection PubMed
description BACKGROUND: Traditional clinical surveillance relied on the results from clinical trials and observational studies of administrative databases. However, these studies not only required many valuable resources but also faced a very long time lag. OBJECTIVE: This study aimed to illustrate a practical application of the National Taiwan University Hospital Clinical Surveillance System (NCSS) in the identification of patients with an osteoporotic fracture and to provide a high reusability infrastructure for longitudinal clinical data. METHODS: The NCSS integrates electronic medical records in the National Taiwan University Hospital (NTUH) with a data warehouse and is equipped with a user-friendly interface. The NCSS was developed using professional insight from multidisciplinary experts, including clinical practitioners, epidemiologists, and biomedical engineers. The practical example identifying the unmet treatment needs for patients encountering major osteoporotic fractures described herein was mainly achieved by adopting the computerized workflow in the NCSS. RESULTS: We developed the infrastructure of the NCSS, including an integrated data warehouse and an automatic surveillance workflow. By applying the NCSS, we efficiently identified 2193 patients who were newly diagnosed with a hip or vertebral fracture between 2010 and 2014 at NTUH. By adopting the filter function, we identified 1808 (1808/2193, 82.44%) patients who continued their follow-up at NTUH, and 464 (464/2193, 21.16%) patients who were prescribed anti-osteoporosis medications, within 3 and 12 months post the index date of their fracture, respectively. CONCLUSIONS: The NCSS systems can integrate the workflow of cohort identification to accelerate the survey process of clinically relevant problems and provide decision support in the daily practice of clinical physicians, thereby making the benefit of evidence-based medicine a reality.
format Online
Article
Text
id pubmed-5941097
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-59410972018-05-09 Identifying Unmet Treatment Needs for Patients With Osteoporotic Fracture: Feasibility Study for an Electronic Clinical Surveillance System Lin, Fong-Ci Wang, Chen-Yu Shang, Rung Ji Hsiao, Fei-Yuan Lin, Mei-Shu Hung, Kuan-Yu Wang, Jui Lin, Zhen-Fang Lai, Feipei Shen, Li-Jiuan Huang, Chih-Fen J Med Internet Res Original Paper BACKGROUND: Traditional clinical surveillance relied on the results from clinical trials and observational studies of administrative databases. However, these studies not only required many valuable resources but also faced a very long time lag. OBJECTIVE: This study aimed to illustrate a practical application of the National Taiwan University Hospital Clinical Surveillance System (NCSS) in the identification of patients with an osteoporotic fracture and to provide a high reusability infrastructure for longitudinal clinical data. METHODS: The NCSS integrates electronic medical records in the National Taiwan University Hospital (NTUH) with a data warehouse and is equipped with a user-friendly interface. The NCSS was developed using professional insight from multidisciplinary experts, including clinical practitioners, epidemiologists, and biomedical engineers. The practical example identifying the unmet treatment needs for patients encountering major osteoporotic fractures described herein was mainly achieved by adopting the computerized workflow in the NCSS. RESULTS: We developed the infrastructure of the NCSS, including an integrated data warehouse and an automatic surveillance workflow. By applying the NCSS, we efficiently identified 2193 patients who were newly diagnosed with a hip or vertebral fracture between 2010 and 2014 at NTUH. By adopting the filter function, we identified 1808 (1808/2193, 82.44%) patients who continued their follow-up at NTUH, and 464 (464/2193, 21.16%) patients who were prescribed anti-osteoporosis medications, within 3 and 12 months post the index date of their fracture, respectively. CONCLUSIONS: The NCSS systems can integrate the workflow of cohort identification to accelerate the survey process of clinically relevant problems and provide decision support in the daily practice of clinical physicians, thereby making the benefit of evidence-based medicine a reality. JMIR Publications 2018-04-24 /pmc/articles/PMC5941097/ /pubmed/29691201 http://dx.doi.org/10.2196/jmir.9477 Text en ©Fong-Ci Lin, Chen-Yu Wang, Rung Ji Shang, Fei-Yuan Hsiao, Mei-Shu Lin, Kuan-Yu Hung, Jui Wang, Zhen-Fang Lin, Feipei Lai, Li-Jiuan Shen, Chih-Fen Huang. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 24.04.2018. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Lin, Fong-Ci
Wang, Chen-Yu
Shang, Rung Ji
Hsiao, Fei-Yuan
Lin, Mei-Shu
Hung, Kuan-Yu
Wang, Jui
Lin, Zhen-Fang
Lai, Feipei
Shen, Li-Jiuan
Huang, Chih-Fen
Identifying Unmet Treatment Needs for Patients With Osteoporotic Fracture: Feasibility Study for an Electronic Clinical Surveillance System
title Identifying Unmet Treatment Needs for Patients With Osteoporotic Fracture: Feasibility Study for an Electronic Clinical Surveillance System
title_full Identifying Unmet Treatment Needs for Patients With Osteoporotic Fracture: Feasibility Study for an Electronic Clinical Surveillance System
title_fullStr Identifying Unmet Treatment Needs for Patients With Osteoporotic Fracture: Feasibility Study for an Electronic Clinical Surveillance System
title_full_unstemmed Identifying Unmet Treatment Needs for Patients With Osteoporotic Fracture: Feasibility Study for an Electronic Clinical Surveillance System
title_short Identifying Unmet Treatment Needs for Patients With Osteoporotic Fracture: Feasibility Study for an Electronic Clinical Surveillance System
title_sort identifying unmet treatment needs for patients with osteoporotic fracture: feasibility study for an electronic clinical surveillance system
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5941097/
https://www.ncbi.nlm.nih.gov/pubmed/29691201
http://dx.doi.org/10.2196/jmir.9477
work_keys_str_mv AT linfongci identifyingunmettreatmentneedsforpatientswithosteoporoticfracturefeasibilitystudyforanelectronicclinicalsurveillancesystem
AT wangchenyu identifyingunmettreatmentneedsforpatientswithosteoporoticfracturefeasibilitystudyforanelectronicclinicalsurveillancesystem
AT shangrungji identifyingunmettreatmentneedsforpatientswithosteoporoticfracturefeasibilitystudyforanelectronicclinicalsurveillancesystem
AT hsiaofeiyuan identifyingunmettreatmentneedsforpatientswithosteoporoticfracturefeasibilitystudyforanelectronicclinicalsurveillancesystem
AT linmeishu identifyingunmettreatmentneedsforpatientswithosteoporoticfracturefeasibilitystudyforanelectronicclinicalsurveillancesystem
AT hungkuanyu identifyingunmettreatmentneedsforpatientswithosteoporoticfracturefeasibilitystudyforanelectronicclinicalsurveillancesystem
AT wangjui identifyingunmettreatmentneedsforpatientswithosteoporoticfracturefeasibilitystudyforanelectronicclinicalsurveillancesystem
AT linzhenfang identifyingunmettreatmentneedsforpatientswithosteoporoticfracturefeasibilitystudyforanelectronicclinicalsurveillancesystem
AT laifeipei identifyingunmettreatmentneedsforpatientswithosteoporoticfracturefeasibilitystudyforanelectronicclinicalsurveillancesystem
AT shenlijiuan identifyingunmettreatmentneedsforpatientswithosteoporoticfracturefeasibilitystudyforanelectronicclinicalsurveillancesystem
AT huangchihfen identifyingunmettreatmentneedsforpatientswithosteoporoticfracturefeasibilitystudyforanelectronicclinicalsurveillancesystem