Biomedical subjects

Debra Konicek

Publications and source records attributed to Debra Konicek.

4 recordsLinked to original sources

PubMed2006

Clinical Care Classification (CCC) System Charting Model.

This is a demonstration of the Clinical Care Classification (CCC) System Charting Model. The Model software is designed for any personal computer (PC) with Windows using Microsoft Office and Access. The program has been tested as efficient and effective for charting patient care plans using the CCC System's Standardized language following the nursing process. It is available for integration in any electronic health record (E.H.R) system.

Humans↗

PubMed2003

Where is the nursing in SNOMED CT? CTGFN has the answer!

The SNOMED" micro CTGFN (Convergent Terminology Group for Nursing) is a working group reporting to the SNOMED International Editorial Board. They are charged with ensuring a terminology supportive of nursing's requirement for describing patient care. The strategies utilized for nursing content follow.

Humans↗

PubMed2002

Information model and terminology model issues related to goals.

Goal statements are a significant component of structures that support the process of health care delivery such as practice guidelines, standards of care, critical pathways, disease management plans, patient education plans, and nursing care plans. Although these structures are increasingly computer-based, there has been little attention to the formal representation of goal statements. This is a necessary prerequisite for enabling semantic interoperability. Existing and evolving information model and terminology model standards offer some approaches that may be applicable to goal statements, however, a number of issues require resolution

Goals↗

PubMedDate not supplied

Standardized nursing language in the systematized nomenclature of medicine clinical terms: A cross-mapping validation method.

Many standardized healthcare languages have been mapped to the Systematized Nomenclature of Medicine Clinical Terms known as SNOMED CT, which was developed by the College of American Pathologists. This study describes a methodology for detecting misassigned concepts from source systems to SNOMED CT and presents the results of applying this methodology to a subset of concepts from two standardized nursing languages, the Nursing Interventions Classification and the Nursing Outcomes Classification. The methodology is based on comparing the knowledge representations of a set of nursing concepts between source systems (nursing languages) and SNOMED CT. If any nursing concept differs in knowledge representation in the target system compared with the source system, editorial misassignment of the concept was declared and recommendations for target system developers were made. In a total of 75 nursing concepts used to test this method, five misassigned concepts(6.6%) were found in SNOMED CT. This method can be used to validate other healthcare languages.

Clinical Medicine↗