Nursing Documentation Time During Implementation of an Electronic Medical Record

Korst, Lisa M.; Eusebio-Angeja, Alea C.; Chamorro, Terry; Aydin, Carolyn E.; Gregory, Kimberly D.

doi:10.1007/0-387-30329-4_15

Cited by 26 publications

(39 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This view is supported by studies where clinicians believe work processes would take more time immediately post-implementation, although there would be a slight decrease in time taken once proficiency with the system is achieved [70,71,9,72]. However, the findings reported in this paper suggest that end-users were not given sufficient time to adapt to the changes.…”

Section: Yh Sidek Jt Martins I N T E R N a T Io N A L J O U R N mentioning

confidence: 52%

Perceived critical success factors of electronic health record system implementation in a dental clinic context: An organisational management perspective

Sidek

Martins

2017

International Journal of Medical Informatics

View full text Add to dashboard Cite

Section: Yh Sidek Jt Martins I N T E R N a T Io N A L J O U R N mentioning

confidence: 52%

Perceived critical success factors of electronic health record system implementation in a dental clinic context: An organisational management perspective

Sidek

Martins

2017

International Journal of Medical Informatics

View full text Add to dashboard Cite

“…A partir de 1881, com os trabalhos do engenheiro Frederick Taylor, em busca de uma produtividade justa e adequada de seus trabalhadores, teve início um estudo sobre o tempo despendido pelos trabalhadores na execução de suas tarefas (14) .…”

Section: Introductionunclassified

Tempo despendido no sistema de assistência de enfermagem após implementação de sistema padronizado de linguagem

Rezende¹,

Gaizinski

2008

Rev. esc. enferm. USP

View full text Add to dashboard Cite

RESUMENEn este estudio, exploratorio-descriptivo prospectivo, se tuvo como objetivo analizar el efecto de cambio del modelo del Sistema de Asistencia de Enfermería (SAE), con la introducción de la clasificación de diagnósticos de enfermería, en el tiempo utilizado por la enfermera en la realización de ese Sistema, identificando el tiempo estimado y el medido (cronometrado). La muestra estuvo conformada por 42 enfermeras, en promedio, con 11 años de experiencia profesional, de diferentes unidades del HU-USP, siendo observadas, cinco veces, en promedio, cuando ejecutaban las fases del SAE. Los datos fueron recolectados en el período de agosto/2005 a febrero/ 2006, después de la introducción y sedimentación de la clasificación del diagnós-tico de enfermería. Los resultados permitieron evidenciar que el tiempo estimado por las enfermeras fue significativamente mayor al tempo medido y que el tiempo gastado en la evaluación del paciente fue, en promedio, mayor en la admisión del paciente en relación a su seguimiento. DESCRIPTORES ABSTRACTThis prospective, exploratory-descriptive study was aimed at analyzing the results of the change of model of the Nursing Assistance System (SAE), with the introduction of a nursing diagnosis classification, on the time spent by the nurse in the realization of this system, identifying the estimated time and the measured time. The study was based on a sample of 42 nurses from different units of the University of São Paulo's Hospital Universitá-rio, with in average 11 years of professional experience, who were observed in average 5 times while carrying out the phases of the SAE. The data were collected from August, 2005 to February, 2006, after the introduction and consolidation of the nursing diagnosis classification. The results showed that the time estimated by the nurses was significantly longer than the time actually measured; and that the time spent for patient evaluation was, on average, longer during his/her admission compared to the follow-up. KEY WORDS

show abstract

“…Effi ciency of separate, and not all ehealth applications, is discussed in several studies, with signifi cant positive eff ects (Korst, 2003;Terry, 2002) or with no statistically signifi cant eff ects on the effi ciency of hospitals (Kazley, Ozcan, 2008). Problems also do arise with exact identifi cation when proving the causality between a diagnostic error, expected to be reduced by introducing e-health tools, and direct case-bycase clinical outcomes (Shekelle et al, 2013, ch.…”

Section: Discussionmentioning

confidence: 99%

Efficiency Evaluation of Hospitals in the Environment of the Czech and Slovak Republic

Sendek¹,

Svitálková²,

Angelovičová³

2016

Acta Univ. Agric. Silvic. Mendelianae Brun.

View full text Add to dashboard Cite

The paper applies the Data Envelopment Analysis as a deterministic non-parametric method based on the linear programming, to measure the effi ciency of Czech and Slovak hospitals based on input and output performance. Managing physician or hospital practice patterns is an important tool to reduce health care costs. State-run hospitals, as decision-making units working in an operating healthcare system, might have some excess resources in the process of providing care. Ehealth tools are expected to contribute to the cost containment in them, enhancing fi nally the quality of patient care in the overall assessment.

show abstract

Nursing Documentation Time During Implementation of an Electronic Medical Record

Cited by 26 publications

References 24 publications

Perceived critical success factors of electronic health record system implementation in a dental clinic context: An organisational management perspective

Perceived critical success factors of electronic health record system implementation in a dental clinic context: An organisational management perspective

Tempo despendido no sistema de assistência de enfermagem após implementação de sistema padronizado de linguagem

Efficiency Evaluation of Hospitals in the Environment of the Czech and Slovak Republic

Contact Info

Product

Resources

About