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S Bakken

Publications and source records attributed to S Bakken.

23 records · Page 2Linked to original sources

Evaluation of the clinical LOINC (Logical Observation Identifiers, Names, and Codes) semantic structure as a terminology model for standardized assessment measures.

OBJECTIVE: The purpose of this study was to test the adequacy of the Clinical LOINC (Logical Observation Identifiers, Names, and Codes) semantic structure as a terminology model for standardized assessment measures. METHODS: After extension of the definitions, 1, 096 items from 35 standardized assessment instruments were dissected into the elements of the Clinical LOINC semantic structure. An additional coder dissected at least one randomly selected item from each instrument. When multiple scale types occurred in a single instrument, a second coder dissected one randomly selected item representative of each scale type. RESULTS: The results support the adequacy of the Clinical LOINC semantic structure as a terminology model for standardized assessments. Using the revised definitions, the coders were able to dissect into the elements of Clinical LOINC all the standardized assessment items in the sample instruments. Percentage agreement for each element was as follows: component, 100 percent; property, 87.8 percent; timing, 82.9 percent; system/sample, 100 percent; scale, 92.6 percent; and method, 97.6 percent. DISCUSSION: This evaluation was an initial step toward the representation of standardized assessment items in a manner that facilitates data sharing and re-use. Further clarification of the definitions, especially those related to time and property, is required to improve inter-rater reliability and to harmonize the representations with similar items already in LOINC.

Databases, Factual↗

An informatics infrastructure is essential for evidence-based practice.

The contention of the author is that an informatics infrastructure is essential for evidenced-based practice. Five building blocks of an informatics infrastructure for evidence-based practice are proposed: 1) standardized terminologies and structures, 2) digital sources of evidence, 3) standards that facilitate health care data exchange among heterogeneous systems, 4) informatics processes that support the acquisition and application of evidence to a specific clinical situation, and 5) informatics competencies. Selected examples illustrate how each of these building blocks supports the application of evidence to practice and the building of evidence from practice. Although a number of major challenges remain, medical informatics can provide solutions that have the potential to decrease unintended variation in practice and health care errors.

Evidence-Based Medicine↗

Collaborative efforts for representing nursing concepts in computer-based systems: international perspectives.

Current nursing terminology efforts have converged toward meeting the demand for a reference terminology for nursing concepts by building on the foundation of existing interface and administrative terminologies and by collaborating with terminology efforts across the spectrum of health care. In this article, the authors illustrate how collaboration is promoting convergence toward a reference terminology for nursing by briefly summarizing a wide range of exemplary activities. These include: 1) the International Classification of Nursing Practice (ICNP) activities of the International Council of Nurses (ICN), 2) work in Brazil and Korea that has contributed to, and been stimulated by, ICNP developments, 3) efforts in the United States to improve understanding of the different types of terminologies needed in nursing and to promote harmonization and linking among them, and 4) current nursing participation in major multi-disciplinary standards initiatives. Although early nursing terminology work occurred primarily in isolation and resulted in some duplicative efforts, the activities summarized in this article demonstrate a tremendous level of collaboration and convergence not only in the discipline of nursing but in multi-disciplinary standards initiatives. These efforts are an important prerequisite for ensuring that nursing concepts are represented in computer-based systems in a manner that facilitates multi-purpose use at local, national, regional, and international levels.

Medical Informatics Applications↗

Toward comparable nursing data: American Nurses Association criteria for data sets, classification systems, and nomenclatures.

The American Nurses Association has long recognized the need for nursing to participate in the development of national healthcare data sets and standardized terminologies suitable for implementation in computer-based systems. In 1989, the American Nurses Association Steering Committee on Databases to Support Clinical Nursing Practice was established to make policy recommendations related to nursing data needs. A primary function of the committee was the development of criteria for "recognition" of nursing language systems toward the goal of a Unified Nursing Language System. The committee has evolved and, in 1998, was renamed the Committee on Nursing Practice Information Infrastructure. In this article the revisions in the American Nurses Association recognition criteria and the role of professional associations in standards development are discussed. Distinct criteria for nursing data sets, classification systems, and nomenclatures are reflective of the evolution in the healthcare environment toward concept-oriented terminologic systems that facilitate data re-use.

American Nurses' Association↗