Clinical Care Classification System Research Articles

The use of standardized nursing languages in electronic medical records: an exploratory study on opportunities, limitations, and strategies

Standardized nursing languages (SNLs) have found increasing application in electronic medical records in recent years. In Italy their use is still uneven and accompanied by a silent debate between positions 'against' and 'for' their use. To render visible the debate regarding SNLs in Italy, and the strategies to consider when digitized records are based on a SNL. Data has been collected through audio-recorded semi-structured interviews, selecting three Italian nursing professors, four managers representing Italian healthcare settings that used a SNT and a representative of the Central committee of the National federation of orders of nursing professions. The thematic approach was used to analyze the data. Participants reported having introduced digitized records based on nursing diagnoses, integrated with the Nursing Interventions Classification System and Nursing Outcome Classification, Clinical Care Classification System, Nursing Sensitive Outcomes or mixed models. Divergent aspects emerge regarding: (1) using nursing languages vs a common language to other healthcare professions; (2) planning care vs enhancing clinical reasoning; (3) measuring nursing care vs accepting the variability of the practice, and (4) making documentation efficient vs dedicating more time. Some convergences have emerged and a set of indications for introducing electronic records when based on standardized languages. The introduction of electronic documentation requires the use of homogeneous languages. The debate on the potential and limits of SNL is still open and requires reflection among researchers, trainers, clinicians, and coordinators/managers of nursing care regarding the choices to be made which may have long-term effects on many nurses.

Nursing process, derived from the clinical care classification system components, as an earlier indicator of nursing care during a pandemic

BackgroundDuring COVID pandemic response, an early signal was desired beyond typical financial classifications or order sets. The foundational work of Virginia K Saba informed the essential, symbiotic relationship of nursing practice and resource utilization by means of the Clinical Care Classification System [CCC]. Scholars have confirmed the use of the CCC as the structure for data modeling, focusing on the concept of nursing cost [1]. Therefore, the purpose of this retrospective, descriptive study was to determine if analysis of CCC Care Component codes could provide a high granularity signal of early shifts in patient demographics and in nursing care interventions and to, then, determine if nursing care intervention shifts indicated changes in resource utilization. MethodsFor a large multi-facility healthcare system in the USA, patients cared for in an acute care setting/hospital-based care unit were the population of interest. Through prior and ongoing efforts of ensuring Evidenced-Based Clinical Documentation [EBCD], a data model was utilized to determine changes in the patient’s nursing diagnoses, nursing interventions, during care episodes, for patients with acute symptoms or diagnosed/confirmed COVID. ResultsThe structure of CCC revealed 22 billion individual instances of the CCC Care Component/Concept codes for the data sets for 2017 and during COVID, a considerably large data set suitable for pre- and post- event analyses. The component codes were included in a string data set for concept/diagnosis/intervention. DiscussionBy our analysis, these CCC Information Model elements determined a clear ability to detect increasing demands of nursing and resources, prior to other data models, including supply chain data, provider documented diagnostic codes, or laboratory test codes. Therefore, we conclude CCC System structure and Nursing Intervention codes allow for earlier detection of pandemic care nursing resource demands, despite the perceived challenges of “timeliness of documentation” attributed to more constrained timelines of data models of nursing care.

Analysis of the Clinical Care Classification System Used in an Intensive Care Unit of a General Hospital in China.

Analysis of the Clinical Care Classification System Used in an Intensive Care Unit of a General Hospital in China.

Translation and cross-cultural adaptation of the Clinical Care Classification system

IntroductionThe Clinical Care Classification (CCC) system is one of the standard nursing terminologies recognized by the American Nurses Association, developed to describe nursing care through electronic documentation in different healthcare settings. The translation of the CCC system into languages other than English is useful to promote its widespread use in different countries and to provide the standard nursing data necessary for interoperable health information exchange. The aim of this study was to translate the CCC system from English to Italian and to test its clinical validity. MethodsA translation with cross-cultural adaptation was performed in four phases: forward-translation, back-translation, review, and dissemination. Subsequently a pilot cross-mapping study between nursing activities in free-text nursing documentation and the CCC interventions was conducted. ResultsAll elements of the CCC system were translated into Italian. Semantic and conceptual equivalences were achieved. Altogether 77.8% of the nursing activities were mapped into CCC interventions. ConclusionsThe CCC system, and its integration into electronic health records, has the potential to support Italian nurses in describing and providing outcomes and costs of their care in different healthcare settings. Future studies are needed to strengthen the impact of the CCC system on clinical practice.

The application and enlightenment of Clinical Care Classification System in nursing practice

The application and enlightenment of Clinical Care Classification System in nursing practice

Developing hierarchical standardized home care nursing statements using nursing standard terminologies

ObjectivesHome care nursing requires high quality documentation to facilitate communication between health providers. Despite the awareness surrounding the importance of documentation, the home care nursing environment lends itself to incomplete and inaccurate documentation. Our study aims to develop a hierarchical standardized home care nursing statement (S-HCNS) structure that can increase documentation quality and completeness. MethodsWe collected a year of home care nursing notes from a hospital-based home care nursing agency in South Korea. Two nursing terminology standards, the International Classification for Nursing Practice (ICNP) and the Clinical Care Classification (CCC), were used to develop the hierarchical S-HCNS structure. ResultsA total of 1,230 S-HCNSs were derived by mapping 61,061 home care nursing notes to the ICNP. Among the total statements, 82.8 % were completely mapped and 0.3 % were not mapped. A total of 99.2 % of the S-HCNSs were classified within the CCC system to build a hierarchical S-HCNS structure. ConclusionsThe ICNP and CCC showed high mapping rates when building the hierarchical S-HCNSs. The unmapped concepts did not exist in the CCC or ICNP but existed in other terminology systems such as SNOMED CT. The differences in granularity between the two terminology standards enabled the development of a hierarchical structure, which enabled the representation of the appropriate level of detail found within clinical documentation. We expect this structure will increase documentation quality and completeness.

Identifying nurses’ concern concepts about patient deterioration using a standard nursing terminology

ObjectivesNurse concerns documented in nursing notes are important predictors of patient risk of deterioration. Using a standard nursing terminology and inputs from subject-matter experts (SMEs), we aimed to identify and define nurse concern concepts and terms about patient deterioration, which can be used to support subsequent automated tasks, such as natural language processing and risk predication. MethodsGroup consensus meetings with nurse SMEs were held to identify nursing concerns by grading Clinical Care Classification (CCC) system concepts based on clinical knowledge. Next, a fundamental lexicon was built placing selected CCC concepts into a framework of entities and seed terms to extend CCC granularity. ResultsA total of 29 CCC concepts were selected as reflecting nurse concerns. From these, 111 entities and 586 seed terms were generated into a fundamental lexicon. Nursing concern concepts differed across settings (intensive care units versus non-intensive care units) and unit types (medicine versus surgery units). ConclusionsThe CCC concepts were useful for representing nursing concern as they encompass a nursing-centric conceptual framework and are practical in lexicon construction. It enabled the codification of nursing concerns for deteriorating patients at a standardized conceptual level. The boundary of selected CCC concepts and lexicons were determined by the SMEs. The fundamental lexicon offers more granular terms that can be identified and processed in an automated fashion.

Three opportunities for standardization: A literature review of the variation among pharmacists' patient care services terminology.

Variation describing pharmacists' patient care services exist, and this variation contributes to the prevalent misunderstanding of pharmacists' roles. In contrast, standard phraseology is a critical practice among highly reliable organizations and a way to reduce variation and confusion. This work aims to identify and define pharmacists' patient care service terms to identify redundancies and opportunities for standardization. Between May to August 2018, terms and definitions were searched via PubMed, Google Scholar and statements/policies of professional pharmacy organizations. Two references per term were sought to provide an "early definition" and a "contemporary definition." Only literature published in English was included, and data gathered from each citation included the date published, the term's definition, and characterization of the reference's source as either a regulatory or professional body. A five-person expert panel used an iterative technique to revise and verify the list of included terms and subsequent literature review results. Terms were then searched in the National Library of Medicine's Medical Subject Heading Database (MeSH) in July, 2019. There are fifteen commonly misunderstood terms that refer to the patient care services provided by pharmacists. The appearance of these terms in the literature spanned nearly five decades. Nearly half of terms appeared first in regulatory, law or policy documents; of these, two terms had contemporary definitions appearing in the professional literature that differed from their early regulatory definition. Three opportunities to improve standardization include: (1) Implementation of standardized phraseology systems similar to nursing's Clinical Care Classification System; (2) Academics' adherence to standardized MeSH terms; and (3) Clarification of pharmacy education accreditation standards. Numerous terms are used to describe pharmacists' patient care services, with many definitions of terms overlapping in several key components. The profession has made concerted efforts to consolidate and standardize terminology in the past, but more opportunities exist.

The Evaluation of Compliance of the Records of Nursing Care after Surgery in the Intensive Care Unit of Cardiac Surgery with Clinical Care Classification System

The Evaluation of Compliance of the Records of Nursing Care after Surgery in the Intensive Care Unit of Cardiac Surgery with Clinical Care Classification System

Effect of electronic report writing on the quality of nursing report recording.

Background and AimRecording performed nursery actions is one of the main chores of nurses. The findings have shown that recorded reports are not qualitatively valid. Since electronic reports can be regarded as a base to write reports, this study aims at determining the effect of utilizing electronic nursing reports on the quality of the records.MethodsThis quasi-experimental study was conducted with the aim of applying an electronic system of nursing recording in the heart department of Shahid Rahimi Medical Center, Lorestan University of Medical Science. The samples were nursing reports on the hospitalized patients in the heart department, the basis of complete enumeration (census) during the fall of 2014. The subjects were sixteen employed nurses. To do the study, the software of nursing records was set based on the Clinical Care Classification system (CCC). The research’s tool was the checklist of the Standards of Nursing Documentation.ResultsThe findings indicated that before and after the intervention, the amount of reports’ adaption with the written standards, respectively, was (21.8%) and (71.3%), and the most complete recording was medicine status (58%) and (100%). The worst complete recording before the intervention, acute changes was (99.1%) and nursing processes was (78%) and after, the medicine status, intake and output status and patient’s education (100%); while the nursing report structure was regarded in all cases (100%). The results showed that there is a significant difference in the quality of reporting before and after using CCC (p<0.001).ConclusionsSince the necessary parameters for recording a standard report do exist in electronic reporting (CCC), from one point, nurses are reminded to record the necessary parts and from the other point, the system does not allow the user to shut it down unless the necessary parameters are recorded. For this reason, the quality of recorded reports with electronic reporting improves.

Harmonising Nursing Terminologies Using a Conceptual Framework.

The International Classification for Nursing Practice (ICNP®) and the Clinical Care Classification (CCC) System are standardised nursing terminologies that identify discrete elements of nursing practice, including nursing diagnoses, interventions, and outcomes. While CCC uses a conceptual framework or model with 21 Care Components to classify these elements, ICNP, built on a formal Web Ontology Language (OWL) description logic foundation, uses a logical hierarchical framework that is useful for computing and maintenance of ICNP. Since the logical framework of ICNP may not always align with the needs of nursing practice, an informal framework may be a more useful organisational tool to represent nursing content. The purpose of this study was to classify ICNP nursing diagnoses using the 21 Care Components of the CCC as a conceptual framework to facilitate usability and inter-operability of nursing diagnoses in electronic health records. Findings resulted in all 521 ICNP diagnoses being assigned to one of the 21 CCC Care Components. Further research is needed to validate the resulting product of this study with practitioners and develop recommendations for improvement of both terminologies.

Usability of the Clinical Care Classification System for Representing Nursing Practice According to Specialty.

This study examined the ability of the Clinical Care Classification system to represent nursing record data across various nursing specialties. The data comprised nursing care plan records from December 1998 to October 2008 in a medical center. The total number of care plan documentation we analyzed was 2 060 178, and we used a process of knowledge discovery in datasets for data analysis. The results showed that 75.42% of the documented diagnosis terms could be mapped using the Clinical Care Classification system. However, a difference in nursing terminology emerged among various nursing specialties, ranging from 0.1% for otorhinolaryngology to 100% for colorectal surgery and plastic surgery. The top five nursing diagnoses were identified as knowledge deficit, acute pain, infection risk, falling risk, and bleeding risk, which were the most common health problems in an acute care setting but not in non-acute care settings. Overall, we identified a total of 21 established nursing diagnoses, which we recommend adding to the Clinical Care Classification system, most of which are applicable to emergency and intensive care specialties. Our results show that Clinical Care Classification is useful for documenting patient's problems in an acute setting, but we suggest adding new diagnoses to identify health problems in specialty settings.

Transcultural Mapping and Usability Testing of the Clinical Care Classification System for an Iranian Neonatal ICU Population

The aim of this research study was to map nursing diagnoses and interventions documented and observed in a neonatal ICU to the Clinical Care Classification system and to validate the translation of these mapped diagnoses and interventions into Persian. This descriptive research used directed content analysis to map diagnoses and interventions to the Clinical Care Classification. Documentation reports of nursing care were extracted from a paper-based documentation system for infants hospitalized in April, May, and June 2011. Observations of care were conducted and compared with documentation to itemize any interventions not included in the documented record. Documented reports of nurses' care and recorded observations were analyzed through directed content analysis, and obtained expressions were mapped to the diagnoses and intervention coding system of the Clinical Care Classification and translated into Persian. Validation of the subsequent code translation was obtained from nursing experts using the Delphi method in two rounds. Findings showed the most frequent nursing diagnoses were related to respiratory condition of infants such as mechanical ventilation dependency (21.1%), and the most frequent nursing interventions were related to completing physician orders such as blood sampling and medication administration (23.9%). Only 47.8% of Clinical Care Classification diagnoses and interventions codes were reflected in the data set. The relatively low rate of nursing care documented in therecords could be due to both the lack of a nursingcare delivery framework, such as the nursing process, and the lack of any framework or standardization in the documentation system in this setting. Using a framework for care delivery and a coding system for documentation of care such as the ClinicalCare Classification would allow for the more complete documentation of nursing care and subsequently the ability to track and analyze this care.

Defining and Incorporating Basic Nursing Care Actions Into the Electronic Health Record

To develop a definition of basic nursing care for the hospitalized adult patient and drive uptake of that definition through the implementation of an electronic health record. A team of direct care nurses, assisted by subject matter experts, analyzed nursing theory and regulatory requirements related to basic nursing care. The resulting list of activities was coded using the Clinical Care Classification (CCC) system and incorporated into the electronic health record system of a 170-bed community hospital. Nine basic nursing care activities were identified as a result of analyzing nursing theory and regulatory requirements in the framework of a hypothetical "well" patient. One additional basic nursing care activity was identified following the pilot implementation in the electronic health record. The pilot hospital has successfully passed a post-implementation regulatory review with no recommendations related to the documentation of basic patient care. This project demonstrated that it is possible to define the concept of basic nursing care and to distinguish it from the interdisciplinary, problem-focused plan of care. The use of the electronic health record can help clarify, document, and communicate basic care elements and improve uptake among nurses. This project to define basic nursing care activities and incorporate into the electronic health record represents a first step in capturing meaningful data elements. When fully implemented, these data could be translated into knowledge for improving care outcomes and collaborative processes.

A preliminary study on the use of clinical care classification in nursing documentation data sets

This study analyzed and organized the content coverage of the clinical care classification (CCC) system to represent nursing record data in a medical center in Taiwan. The nursing care plan was analyzed using the process of knowledge discovery in the data set. The nursing documentation was mapped based on the full list of nursing diagnoses and interventions available using the CCC system. The result showed that 75.45% of the documented diagnosis terms can be mapped using the CCC system. A total of 21 established nursing diagnoses were recommended for inclusion in the CCC system. The results also showed that 30.72% of assessment/monitor tasks and 31.16% of care/perform tasks were provided by nursing professionals, whereas manage/refer actions accounted for 15.36% of the tasks involved in nursing care. The results showed that the CCC system is a suitable clinical information system for the majority of nursing care documentation, and is useful for determining the patterns in nursing practices.

Evaluation of the Applicability of the Clinical Care Classification System to the Care of Elderly Nursing Home Residents

The purpose of this study was to translate the Clinical Care Classification System into Turkish and evaluate its applicability to the care of elderly nursing home residents. This study uses a quasi-experimental design in which interventions and evaluations are repeated at specified time intervals in a single group and in which the Clinical Care Classification System is evaluated in a descriptive manner through the use of documents obtained from the system to test the applicability of the system for the care of elderly nursing home residents. Twenty-eight elderly people participated in the study. The health conditions of elderly people were evaluated using an elderly assessment form based on data obtained after nursing diagnoses and nursing interventions were determined using the Clinical Care Classification System. The change in nursing diagnoses as a result of the applied nursing interventions was evaluated. A total of 297 diagnoses were specified in 18 care components directed to the elderly, and 310 interventions were performed. Upon evaluation of the consequences of the interventions, changes in 208 nursing diagnoses were observed. The findings indicate that the Clinical Care Classification System is useful for determining the requirements of the elderly, providing suitable nursing care and enabling the evaluation of the process.

Costing Nursing Care

The purpose of this study was to combine an established methodology for coding nursing interventions and action types using the Clinical Care Classification System with a reliable formula (relative value units) to cost nursing services. Using a flat per-diem rate to cost nursing care greatly understates the actual costs and fails to address the high levels of variability within and across units. We observed nurses performing commonly executed nursing interventions and recorded these into an electronic database with corresponding Clinical Care Classification System codes. The duration of these observations was used to calculate intervention costs using relative value unit calculation formulas. The costs of the five most commonly executed interventions were nursing care coordination/manage-refer ($2.43), nursing status report/assess-monitor ($4.22), medication treatment/perform-direct ($6.33), physical examination/assess-monitor ($3.20), and universal precautions/perform-direct ($1.96). Future studies across a variety of nursing specialties and units are needed to validate the relative value unit for Clinical Care Classification System action types developed for use with the Clinical Care Classification System nursing interventions as a method to cost nursing care.

Field‐Testing a PC Electronic Documentation System using the Clinical Care Classification© System with Nursing Students

Schools of nursing are slow in training their students to keep up with the fast approaching era of electronic healthcare documentation. This paper discusses the importance of nursing documentation, and describes the field‐testing of an electronic health record, the Sabacare Clinical Care Classification (CCC©) system. The PC‐CCC©, designed as a Microsoft Access® application, is an evidence‐based electronic documentation system available via free download from the internet. A sample of baccalaureate nursing students from a mid‐Atlantic private college used this program to document the nursing care they provided to patients during their sophomore level clinical experience. This paper summarizes the design, training, and evaluation of using the system in practice.

Testing a Bedside Personal Computer Clinical Care Classification System for Nursing Students Using Microsoft Access

This study tested a personal computer-based version of the Sabacare Clinical Care Classification System on students' performance of charting patient care plans. The application was designed as an inexpensive alternative to teach electronic charting for use on any laptop or personal computer with Windows and Microsoft Access. The data-based system was tested in a randomized trial with the control group using a type-in text-based-only system also mounted on a laptop at the bedside in the laboratory. Student care plans were more complete using the data-based system over the type-in text version. Students were more positive but not necessarily more efficient with the data-based system. The results demonstrate that the application is effective for improving student nursing care charting using the nursing process and capturing patient care information with a language that is standardized and ready for integration with other patient electronic health record data. It can be implemented on a bedside stand in the clinical laboratory or used to aggregate care planning over a student's clinical experience.

Translation and Integration of CCC Nursing Diagnoses into ICNP

The purpose of this study was to translate and integrate nursing diagnosis concepts from the Clinical Care Classification (CCC) System Version 2.0 to DiagnosticPhenomenon or nursing diagnostic statements in the International Classification for Nursing Practice (ICNP®) Version 1.0. Source concepts for CCC were mapped by the project team, where possible, to pre-coordinated ICNP terms. The manual decomposition of source concepts according to the ICNP 7-Axis Model served to validate the mappings. A total of 62% of the CCC Nursing Diagnoses were a pre-coordinated match to an ICNP concept, 35% were a post-coordinated match and only 3% had no match. During the mapping process, missing CCC concepts were submitted to the ICNP Programme, with a recommendation for inclusion in future releases.