Comput Inform Nurs - Usability of the Clinical Care Classification System for Representing Nursing Practice According to Specialty.

Tópicos

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{ patient(2837) hospit(1953) medic(668) }
{ data(1737) use(1416) pattern(1282) }
{ featur(3375) classif(2383) classifi(1994) }
{ general(901) number(790) one(736) }
{ case(1353) use(1143) diagnosi(1136) }
{ risk(3053) factor(974) diseas(938) }
{ model(2656) set(1616) predict(1553) }
{ system(1976) rule(880) can(841) }
{ problem(2511) optim(1539) algorithm(950) }
{ error(1145) method(1030) estim(1020) }
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{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ signal(2180) analysi(812) frequenc(800) }
{ group(2977) signific(1463) compar(1072) }
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{ gene(2352) biolog(1181) express(1162) }
{ first(2504) two(1366) second(1323) }
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{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
{ use(2086) technolog(871) perceiv(783) }
{ health(1844) social(1437) communiti(874) }
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{ use(976) code(926) identifi(902) }
{ survey(1388) particip(1329) question(1065) }
{ estim(2440) model(1874) function(577) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ method(1969) cluster(1462) data(1082) }
{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

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 2060178, 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.

Resumo Limpo

studi examin abil clinic care classif system repres nurs record data across various nurs specialti data compris nurs care plan record decemb octob medic center total number care plan document analyz use process knowledg discoveri dataset data analysi result show document diagnosi term map use clinic care classif system howev differ nurs terminolog emerg among various nurs specialti rang otorhinolaryngolog colorect surgeri plastic surgeri top five nurs diagnos identifi knowledg deficit acut pain infect risk fall risk bleed risk common health problem acut care set nonacut care set overal identifi total establish nurs diagnos recommend ad clinic care classif system applic emerg intens care specialti result show clinic care classif use document patient problem acut set suggest ad new diagnos identifi health problem specialti set

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