Modeling workflow to design machine translation applications for public health practice

Turner, Anne M.; Brownstein, Megumu; Cole, Kate; Karasz, Hilary N.; Kirchhoff, Katrin

doi:10.1016/j.jbi.2014.10.005

“…Turner and colleagues [15,16] performed workflow studies and translation quality analysis with public health professionals to develop a prototype machine translation tool for improving access to multilingual health promotion materials for limited English proficiency individuals. The use of requirements gathering and the analysis of workflows explain work processes and describe how data, information, and knowledge are used.…”

Section: Methodsmentioning

confidence: 99%

Public Health, Population Health, and Epidemiology Informatics: Recent Research and Trends in the United States

Massoudi¹,

Chester²

2017

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Summary Objectives: To survey advances in public and population health and epidemiology informatics over the past 18 months. Methods: We conducted a review of English-language research works conducted in the domain of public and population health informatics and published in MEDLINE or Web of Science between January 2015 and June 2016 where information technology or informatics was a primary subject or main component of the study methodology. Selected articles were presented using a thematic analysis based on the 2011 American Medical Informatics Association (AMIA) Public Health Informatics Agenda tracks as a typology. Results: Results are given within the context developed by Dixon et al., (2015) and key themes from the 2011 AMIA Public Health Informatics Agenda. Advances are presented within a socio-technical infrastructure undergirded by a trained, competent public health workforce, systems development to meet the business needs of the practice field, and research that evaluates whether those needs are adequately met. The ability to support and grow the infrastructure depends on financial sustainability. Conclusions: The fields of public health and population health informatics continue to grow, with the most notable developments focused on surveillance, workforce development, and linking to or providing clinical services, which encompassed population health informatics advances. Very few advances addressed the need to improve communication, coordination, and consistency with the field of informatics itself, as identified in the AMIA agenda. This will likely result in the persistence of the silos of public health information systems that currently exist. Future research activities need to aim toward a holistic approach of informatics across the enterprise.

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“…[21] In health care, machine translation plays a crucial role in upgrading access to multilingual health materials. Several machine translation systems are available, but their performance is not adequate in the public health domain [22]. During the last decade, machine translation technology has improved.…”

Section: Figurementioning

confidence: 99%

A Review of Machine Translation for South Asian Low Resource Languages

Andrabi¹

2021

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Machine translation is an application of natural language processing. Humans use native languages to communicate with one another, whereas programming languages communicate between humans and computers. NLP is the field that involves a broad set of techniques for analysis, manipulation and automatic generation of human languages or natural languages with the help of computers. It is essential to provide access to information to people for their development in the present information age. It is necessary to put equal emphasis on removing the barrier of language between different divisions of society. The area of NLP strives to fill this gap of the language barrier by applying machine translation. One natural language is transformed into another natural language with the aid of computers. The first few years of this area were dedicated to the development of rule-based systems. Still, later on, due to the increase in computational power, there was a transition towards statistical machine translation. The motive of machine translation is that the meaning of the translated text should be preserved during translation. This research paper aims to analyse the machine translation approaches used for resource-poor languages and determine the needs and challenges the researchers face. This paper also reviews the machine translation systems that are available for poor research languages.

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“…One of the important services of public health is to inform and educate the public about important public health issues. Turner and colleagues [15,16] performed workflow studies and translation quality analysis with public health professionals to develop a prototype machine translation tool for improving access to multilingual health promotion materials for limited English proficiency individuals. The use of requirements gathering and the analysis of workflows explain work processes and describe how data, information, and knowledge are used.…”

Section: (1)socio-technical Infrastructure and Researchmentioning

confidence: 99%

Public Health, Population Health, and Epidemiology Informatics: Recent Research and Trends in the United States

Massoudi¹,

Chester²

2017

View full text Add to dashboard Cite

Summary Objectives: To survey advances in public and population health and epidemiology informatics over the past 18 months. Methods: We conducted a review of English-language research works conducted in the domain of public and population health informatics and published in MEDLINE or Web of Science between January 2015 and June 2016 where information technology or informatics was a primary subject or main component of the study methodology. Selected articles were presented using a thematic analysis based on the 2011 American Medical Informatics Association (AMIA) Public Health Informatics Agenda tracks as a typology. Results: Results are given within the context developed by Dixon et al., (2015) and key themes from the 2011 AMIA Public Health Informatics Agenda. Advances are presented within a socio-technical infrastructure undergirded by a trained, competent public health workforce, systems development to meet the business needs of the practice field, and research that evaluates whether those needs are adequately met. The ability to support and grow the infrastructure depends on financial sustainability. Conclusions: The fields of public health and population health informatics continue to grow, with the most notable developments focused on surveillance, workforce development, and linking to or providing clinical services, which encompassed population health informatics advances. Very few advances addressed the need to improve communication, coordination, and consistency with the field of informatics itself, as identified in the AMIA agenda. This will likely result in the persistence of the silos of public health information systems that currently exist. Future research activities need to aim toward a holistic approach of informatics across the enterprise.

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Modeling workflow to design machine translation applications for public health practice

Cited by 14 publications

References 32 publications

Public Health, Population Health, and Epidemiology Informatics: Recent Research and Trends in the United States

Public Health, Population Health, and Epidemiology Informatics: Recent Research and Trends in the United States

A Review of Machine Translation for South Asian Low Resource Languages

Public Health, Population Health, and Epidemiology Informatics: Recent Research and Trends in the United States

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