Developing Electronic Health Records in Taiwan

Rau, Hsiao-Hsien; Hsu, Chien Yeh; Lee, Yen‐Liang; Chen, Wei; Jian, Wen-Shan

doi:10.1109/mitp.2010.53

Cited by 25 publications

(8 citation statements)

References 6 publications

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“…In the era of artificial intelligence, our next step is to combine structured databases including the NHIRD with unstructured data sources. In Taiwan, with the development of the Taiwan Electronic Medical Record Template,45 EMR systems have been widely used in almost all hospitals for routine clinical work. A large number of EMRs are generated and accumulate during everyday patient care.…”

Section: Visions and Summarymentioning

confidence: 99%

<p>Taiwan’s National Health Insurance Research Database: past and future</p>

Hsieh

Shao

et al. 2019

CLEP

870

760

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Taiwan’s National Health Insurance Research Database (NHIRD) exemplifies a population-level data source for generating real-world evidence to support clinical decisions and health care policy-making. Like with all claims databases, there have been some validity concerns of studies using the NHIRD, such as the accuracy of diagnosis codes and issues around unmeasured confounders. Endeavors to validate diagnosed codes or to develop methodologic approaches to address unmeasured confounders have largely increased the reliability of NHIRD studies. Recently, Taiwan’s Ministry of Health and Welfare (MOHW) established a Health and Welfare Data Center (HWDC), a data repository site that centralizes the NHIRD and about 70 other health-related databases for data management and analyses. To strengthen the protection of data privacy, investigators are required to conduct on-site analysis at an HWDC through remote connection to MOHW servers. Although the tight regulation of this on-site analysis has led to inconvenience for analysts and has increased time and costs required for research, the HWDC has created opportunities for enriched dimensions of study by linking across the NHIRD and other databases. In the near future, researchers will have greater opportunity to distill knowledge from the NHIRD linked to hospital-based electronic medical records databases containing unstructured patient-level information by using artificial intelligence techniques, including machine learning and natural language processes. We believe that NHIRD with multiple data sources could represent a powerful research engine with enriched dimensions and could serve as a guiding light for real-world evidence-based medicine in Taiwan.

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Section: Visions and Summarymentioning

confidence: 99%

<p>Taiwan’s National Health Insurance Research Database: past and future</p>

Hsieh

Shao

et al. 2019

CLEP

870

760

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“…The data exchange protocol was in accordance with the American National Standards Institute (ANSI); that is, Health Level Seven (HL7) [3], which is commonly used for health information [4]. The extensible markup language (XML) was utilized for the data transfer format [5]. Service Oriented Architecture (SOA) is a service-oriented architecture that splits problems into smaller but co-synergistic services [6].…”

Section: Methodsmentioning

confidence: 99%

Model of Human Resources for Health Information Systems

Pardamean

Utama

Fadilah

2015

2015 2nd International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE)

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One of the crucial aspects of health development is human resources due to its role in both management and implementation of the health care system. The implication of this situation is the need for proper information and data collection. Human Resources for Health Information System (HRHIS) works as a tool in collecting such information. The fragmented business process posed a substantial challenge towards any effort in integrating HRHIS with Health Information System (HIS) Data Bank. However, through the simultaneous utilization of Service Oriented Architecture (SOA) method for model integration, Health Level Seven (HL 7) for standard data exchange, and Extensible Markup Language (XML) for standard data formatting, this study managed to construct a system model that integrated HRHIS with HIS Data Bank. The model was created subsequently enable the accuracy of HRHIS information.

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“…Dalam sistem yang diterapkan di Denmark, sistem E-PHR menyimpan seluruh informasi dalam interaksi pasien dengan penyedia layanan kesehatan (Kierkegaard, 2013). Pendekatan yang sama digunakan di Taiwan (Rau et al, 2010) walaupun dalam sistem E-PHR Taiwan data tersebut tidak selalu disimpan dalam repositori terpusat. Sementara itu, sistem HealthConnect di Australia menyimpan data kesehatan pasien secara episodic dengan satu kunjungan disimpan sebagai satu entry dalam sistem (Kolachalam, 2006).…”

Section: Cakupan Perekaman Informasiunclassified

Rekam Kesehatan Elektronik: Kajian Model dan Prototipe Sistem Informasi Kesehatan untuk Industri 4.0. Bali, Indonesia

Januraga¹,

Wirawan²,

Harjana³

et al. 2021

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Revolusi Industri 4.0 membawa konsep-konsep seperti big data dan pemberdayaan individual melalui personalized medicine ke dalam ilmu kesehatan. Konsep-konsep ini dikejawantahkan dalam bentuk rekam kesehatan elektronik atau electronic personal health record (E-PHR). Dalam kajian ini penulis menjabarkan mengenai E-PHR, keuntungan, serta fasilitator dan kendala penerapannya. Penulis juga mengembangkan sebuah prototipe model sistem E-PHR yang dapat diterapkan untuk konteks Kabupaten Badung di Provinsi Bali, Indonesia.

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Developing Electronic Health Records in Taiwan

Abstract: The design of the Taiwan Electronic Medical Record Template (TMT) provides the basis for developing a document-based information standard and an information interoperability infrastructure forTaiwan's healthcare system. An additional benefit of TMT is its strong data security structure.

Cited by 25 publications

References 6 publications

<p>Taiwan’s National Health Insurance Research Database: past and future</p>

<p>Taiwan’s National Health Insurance Research Database: past and future</p>

Model of Human Resources for Health Information Systems

Rekam Kesehatan Elektronik: Kajian Model dan Prototipe Sistem Informasi Kesehatan untuk Industri 4.0. Bali, Indonesia

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