Pain Management in Clinical Practice Research Using Electronic Health Records

Nomura, Aline Tsuma Gaedke; Pruinelli, Lisiane; Barreto, Luciana Nabinger Menna; Graeff, Murilo dos Santos; Swanson, Elizabeth; Silveira, T R; Almeida, Míriam de Abreu

doi:10.1016/j.pmn.2021.01.016

Cited by 2 publications

(1 citation statement)

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“…Previous research presents ample evidence of the use of nursing‐sensitive indicators corresponding to the established expressions found in our study, such as experiences of pain or prevalence of pressure injuries (Seaman et al, 2017 ). These examples also include research focusing on extracting information related to pain management, ranging from risk identification to the evaluation of analgesic effect or pain prevalence (Nomura et al, 2021 ). In contrast, before their utilization in systems that help evaluate care quality, more research is needed on unestablished expressions, which are more complicated to interpret.…”

Section: Discussionmentioning

confidence: 99%

Identifying nursing sensitive indicators from electronic health records in acute cardiac care―Towards intelligent automated assessment of care quality

Gerich

Moen

Peltonen

2022

J Nursing Management

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Aim:The aim of this study is to explore the potential of using electronic health records for assessment of nursing care quality through nursing-sensitive indicators in acute cardiac care.Background: Nursing care quality is a multifaceted phenomenon, making a holistic assessment of it difficult. Quality assessment systems in acute cardiac care units could benefit from big data-based solutions that automatically extract and help interpret data from electronic health records.Methods: This is a deductive descriptive study that followed the theory of valueadded analysis. A random sample from electronic health records of 230 patients was analysed for selected indicators. The data included documentation in structured and free-text format.Results: One thousand six hundred seventy-six expressions were extracted and divided into (1) established and (2) unestablished expressions, providing positive, neutral and negative descriptions related to care quality. Conclusions:Electronic health records provide a potential source of information for information systems to support assessment of care quality. More research is warranted to develop, test and evaluate the effectiveness of such tools in practice.Implications for Nursing Management: Knowledge-based health care management would benefit from the development and implementation of advanced information systems, which use continuously generated already available real-time big data for improved data access and interpretation to better support nursing management in quality assessment.

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Section: Discussionmentioning

confidence: 99%