Consumer Health Concepts That Do Not Map to the UMLS: Where Do They Fit?

Keselman, Alla; Smith, Catherine Arnott; Divita, Guy; Kim, Hyeoneui; Browne, Allen C.; Leroy, Gondy; Zeng‐Treitler, Qing

doi:10.1197/jamia.m2599

Cited by 60 publications

(56 citation statements)

References 13 publications

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“…The variability of consumers' medical vocabulary [31] presents a significant barrier to information access, as well as a challenge for the development of a universal English-language consumer health vocabulary. That is, a "one size fits all" solution may not be possible.…”

Section: Consumer Health Vocabularies (Chv)mentioning

confidence: 99%

“…There is a reassuring degree of overlap between consumer and medical vocabularies, but there are discrepancies [31]. Where mismatches are found, however, they fall into three types: lay synonyms, lay usage, and lay terms that cannot be mapped [27,31].…”

Section: The Linguistic Dividementioning

confidence: 99%

“…Where mismatches are found, however, they fall into three types: lay synonyms, lay usage, and lay terms that cannot be mapped [27,31]. Lay synonyms are terms in which different lexical forms (i.e., word form) have the same meaning (e.g., heart attack and myocardial infarction).…”

Section: The Linguistic Dividementioning

confidence: 99%

“…Patients and health professionals differ in their mental models of disease and illness, as well as the language they use to express medical concepts [24,27,31]. Laypersons interpret health in many ways, from the absence of illness to the "capacity to do" [32].…”

Section: The Health Consumermentioning

confidence: 99%

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Overcoming the linguistic divide: a barrier to consumer health information

Boden¹

2014

J Can Health Libr Assoc

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Seeking health information online has become very popular. Despite this popularity, health consumers face many barriers to successfully retrieving good quality health information. This paper reviews the literature on the linguistic divide between health consumers and consumer health information. Consumer health vocabularies (CHV) and natural language processing (NLP) show potential for bridging the divide, thereby improving recall and precision from information retrieval systems. Developers of digital libraries can incorporate CHV and (or) NLP as help tools to facilitate health consumers' search success. Deeper issues, such as health consumers' mental representation of medical domain, must also be addressed in future research for optimal benefit from such help tools.Boden 80

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Section: Consumer Health Vocabularies (Chv)mentioning

confidence: 99%

Section: The Linguistic Dividementioning

confidence: 99%

Section: The Linguistic Dividementioning

confidence: 99%

Section: The Health Consumermentioning

confidence: 99%

See 2 more Smart Citations

Overcoming the linguistic divide: a barrier to consumer health information

Boden¹

2014

J Can Health Libr Assoc

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“…Research is also needed to extend the standardized consumer health vocabulary, in which more up-to-date concepts are included and similar symptoms can be grouped together to provide standardization. Research has started to build open-source Consumer Health Vocabulary (CHV) [57] to deal with this issue.…”

Section: Discussionmentioning

confidence: 99%

Present and Future Trends in Consumer Health Informatics and Patient-Generated Health Data

Lai¹,

Hsueh²,

Choi³

et al. 2017

Yearb Med Inform

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SummaryObjectives: Consumer Health Informatics (CHI) and the use of Patient-Generated Health Data (PGHD) are rapidly growing focus areas in healthcare. The objective of this paper is to briefly review the literature that has been published over the past few years and to provide a sense of where the field is going. Methods: We searched PubMed and the ACM Digital Library for articles published between 2014 and 2016 on the topics of CHI and PGHD. The results of the search were screened for relevance and categorized into a set of common themes. We discuss the major topics covered in these articles. Results: We retrieved 65 articles from our PubMed query and 32 articles from our ACM Digital Library query. After a review of titles, we were left with 47 articles to conduct our full article survey of the activities in CHI and PGHD. We have summarized these articles and placed them into major categories of activity. Within the domain of consumer health informatics, articles focused on mobile health and patient-generated health data comprise the majority of the articles published in recent years. Conclusions: Current evidence indicates that technological advancements and the widespread availability of affordable consumer-grade devices are fueling research into using PGHD for better care. As we observe a growing number of (pilot) developments using various mobile health technologies to collect PGHD, major gaps still exist in how to use the data by both patients and providers. Further research is needed to understand the impact of PGHD on clinical outcomes. KeywordsConsumer health information/methods; patient-generated health data; mHealth; user-computer interface; consumer participation in delivery of health careYearb Med Inform 2017:152-9 http://dx

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Inducing terminologies from text: A case study for the consumer health domain

Muresan

Klavans

2013

J Am Soc Inf Sci Tec

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Specialized medical ontologies and terminologies, such as SNOMED CT and the Unified Medical Language System (UMLS), have been successfully leveraged in medical information systems to provide a standard webaccessible medium for interoperability, access, and reuse. However, these clinically oriented terminologies and ontologies cannot provide sufficient support when integrated into consumer-oriented applications, because these applications must "understand" both technical and lay vocabulary. The latter is not part of these specialized terminologies and ontologies. In this article, we propose a two-step approach for building consumer health terminologies from text: 1) automatic extraction of definitions from consumer-oriented articles and web documents, which reflects language in use, rather than relying solely on dictionaries, and 2) learning to map definitions expressed in natural language to terminological knowledge by inducing a syntactic-semantic grammar rather than using hand-written patterns or grammars. We present quantitative and qualitative evaluations of our two-step approach, which show that our framework could be used to induce consumer health terminologies from text.

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Consumer Health Concepts That Do Not Map to the UMLS: Where Do They Fit?

Abstract: Non-mapping concepts constitute a small proportion of consumer health terms, but a proportion that is likely to affect the process of consumer health vocabulary building. We have identified a novel approach for identifying such concepts.

Cited by 60 publications

References 13 publications

Overcoming the linguistic divide: a barrier to consumer health information

Overcoming the linguistic divide: a barrier to consumer health information

Present and Future Trends in Consumer Health Informatics and Patient-Generated Health Data

Inducing terminologies from text: A case study for the consumer health domain

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