An evaluation of the usefulness of two terminology models for integrating nursing diagnosis concepts into SNOMED Clinical Terms®

Bakken, Suzanne; Warren, Judith J.; Lundberg, Cynthia B.; Casey, Anne; Correia, Carol M.; Konicek, Debra J.; Zingo, Chris

doi:10.1016/s1386-5056(02)00066-7

Cited by 33 publications

(15 citation statements)

References 6 publications

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“…In the 1990s, the Systematized Nomenclature of Medicine-Clinical Terms (SNOMED-CT)’s decided to include nursing terms, to account for the differences between the professions [45,46]. Evaluation of the nursing concepts in SNOMED continued for another decade [47,48]. Later research has evaluated the differences between nursing concepts within SNOMED-CT [49,50].…”

Section: Discussionmentioning

confidence: 99%

Physician nurse care: A new use of UMLS to measure professional contribution

Boyd

Lopez

Lugaresi

et al. 2018

International Journal of Medical Informatics

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Background Physician and nurses have worked together for generations; however, their language and training are vastly different; comparing and contrasting their work and their joint impact on patient outcomes is difficult in light of this difference. At the same time, the EHR only includes the physician perspective via the physician-authored discharge summary, but not nurse documentation. Prior research in this area has focused on collaboration and the usage of similar terminology. Objective The objective of the study is to gain insight into interprofessional care by developing a computational metric to identify similarities, related concepts and differences in physician and nurse work. Methods 58 physician discharge summaries and the corresponding nurse plans of care were transformed into Unified Medical Language System (UMLS) Concept Unique Identifiers (CUIs). MedLEE, a Natural Language Processing (NLP) program, extracted “physician terms” from free-text physician summaries. The nursing plans of care were constructed using the HANDS© nursing documentation software. HANDS© utilizes structured terminologies: nursing diagnosis (NANDA-I), outcomes (NOC), and interventions (NIC) to create “nursing terms”. The physician’s and nurse’s terms were compared using the UMLS network for relatedness, overlaying the physician and nurse terms for comparison. Our overarching goal is to provide insight into the care, by innovatively applying graph algorithms to the UMLS network. We reveal the relationships between the care provided by each professional that is specific to the patient level. Results We found that only 26% of patients had synonyms (identical UMLS CUIs) between the two professions’ documentation. On average, physicians’ discharge summaries contain 27 terms and nurses’ documentation, 18. Traversing the UMLS network, we found an average of 4 terms related (distance less than 2) between the professions, leaving most concepts as unrelated between nurse and physician care. Conclusion Our hypothesis that physician’s and nurse’s practice domains are markedly different is supported by the preliminary, quantitative evidence we found. Leveraging the UMLS network and graph traversal algorithms, allows us to compare and contrast nursing and physician care on a single patient, enabling a more complete picture of patient care. We can differentiate professional contributions to patient outcomes and related and divergent concepts by each profession.

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Section: Discussionmentioning

confidence: 99%

Physician nurse care: A new use of UMLS to measure professional contribution

Boyd

Lopez

Lugaresi

et al. 2018

International Journal of Medical Informatics

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“…Previous studies have also considered the representation of and mapping to semantic links for nursing diagnostic statements [10,11].…”

Section: Semantic Linksmentioning

confidence: 99%

“…Other studies have examined the level of conformance of nursing terminologies to the ISO standard by decomposing or dissecting individual terms, and mapping these dissections to the standard [9][10][11][12]. This study goes further than these previous studies.…”

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confidence: 99%

Interpretation of an international terminology standard in the development of a logic-based compositional terminology

Hardiker

Coenen

2007

International Journal of Medical Informatics

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“…ANA-recognized, standardized nursing languages provide the comprehensive content for the 3 nursing clinical elements of the NMDS: the North American Nursing Diagnosis Association (NANDA) Classification (NANDA, 2001), 45 the Nursing Interventions Classification (NIC), 46 the Nursing Outcomes Classification (NOC), [47][48][49][50] the Omaha System, 51 the Home Health Care Classification, 52 the Patient Care Data Set (PCDS), 53 the Perioperative Nursing Data Elements, 54 SnomedRT, 55 and the International Classification of Nursing Practice. 56,57 The Nursing Management Minimum Data Set (NMMDS), recognized by ANA in 1998, complements the NMDS by identifying contextual and structural factors that can affect quality.…”

Section: Nursing Classifications and Uniform Nursing Datamentioning

confidence: 99%

“…That is, nursing diagnosis terms in different uniform languages can be mapped through reference terms to one another, as can the labels for interventions and outcomes from different uniform languages. 55,66 Testing of the use of the reference models and mapping will be needed to ensure that synonymy of terms is reliably achieved and maintained and that meaningful data are available for analysis. Plans for this testing or how it will be accomplished are not clear at this time.…”

Section: Maas and Delaneymentioning

confidence: 99%

Nursing Process Outcome Linkage Research

Maas

Delaney

2004

Medical Care

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A literature search shows that a common framework is beginning to evolve that represents nursing's essential information, eg, the Nursing Minimum Data Set, Management Minimum Data Set, and several standardized nursing languages. Extensive research and other initiatives have produced 1) nursing languages and reference terminologies that span healthcare settings; 2) information models; and 3) standards for datasets supporting information systems. A number of issues remain, however, that concern the development of uniform nursing datasets, definitions of outcomes, quality of nursing data, information system design, and methods of data analysis. We review nursing process outcome research, clarify issues inherent in nursing effectiveness research, and discuss implications for nursing and health policy.

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An evaluation of the usefulness of two terminology models for integrating nursing diagnosis concepts into SNOMED Clinical Terms®

Cited by 33 publications

References 6 publications

Physician nurse care: A new use of UMLS to measure professional contribution

Physician nurse care: A new use of UMLS to measure professional contribution

Interpretation of an international terminology standard in the development of a logic-based compositional terminology

Nursing Process Outcome Linkage Research

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