Literature DB >> 30516092

Assessing the relation of the coded nursing care and nursing intensity data: Towards the exploitation of clinical data for administrative use and the design of nursing workload.

Pia Liljamo1, Ulla-Mari Kinnunen, Kaija Saranto2.   

Abstract

Patient-care data from the electronic health record systems are increasingly in demand for re-use in administration and resource planning. Nursing documentation with coded concepts is expected to produce more reliable data, fulfilling better requirements for re-use. The aim was to ascertain what kind of relation exist between coded nursing diagnoses, nursing interventions, and nursing intensity and to discuss the possibilities for re-using nursing data for workload design. We analysed the retrospective nursing records of 794 patients documented by the Finnish Care Classification and nursing intensity data assessed by the Oulu Patient Classification over a 15-day period in nine inpatient units at a university hospital. Using the generalised linear mixed model, the clear relationship between the number of coded nursing notes and nursing intensity levels were ascertained. The number of coded nursing notes increases when the nursing intensity increases. The outcomes construct a good basis for continuing elaboration of electronic health record data re-use.

Entities:  

Keywords:  electronic health record; nursing diagnoses; nursing intensity; nursing interventions; standardised nursing terminology

Mesh:

Year:  2018        PMID: 30516092     DOI: 10.1177/1460458218813613

Source DB:  PubMed          Journal:  Health Informatics J        ISSN: 1460-4582            Impact factor:   2.681


  1 in total

1.  Predicting patient acuity according to their main problem.

Authors:  Maria-Eulàlia Juvé-Udina; Jordi Adamuz; Maria-Magdalena López-Jimenez; Marta Tapia-Pérez; Núria Fabrellas; Cristina Matud-Calvo; Maribel González-Samartino
Journal:  J Nurs Manag       Date:  2019-10-30       Impact factor: 3.325

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.