Framework for Mining and Analysis of Standardized Nursing Care Plan Data

Khokhar, Ashfaq; Lodhi, Muhammad Kamran; Yao, Yingwei; Ansari, Rashid; Keenan, Gail M.; Wilkie, Diana J.

doi:10.1177/0193945916672828

Cited by 10 publications

(12 citation statements)

References 35 publications

(46 reference statements)

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“…These statistical methods provide crucial results to understand a dataset and the population under study. 73 We also noted that these basic statistical tests have been applied increasingly to larger datasets across the years. Our results suggest SNTs are more widely implemented to code point-of-care nursing documentation in EHRs within clinical settings than previously thought.…”

Section: Discussionmentioning

confidence: 99%

Secondary use of standardized nursing care data for advancing nursing science and practice: a systematic review

Macieira

Chianca

Smith

et al. 2019

Journal of the American Medical Informatics Association

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Objective The study sought to present the findings of a systematic review of studies involving secondary analyses of data coded with standardized nursing terminologies (SNTs) retrieved from electronic health records (EHRs). Materials and Methods We identified studies that performed secondary analysis of SNT-coded nursing EHR data from PubMed, CINAHL, and Google Scholar. We screened 2570 unique records and identified 44 articles of interest. We extracted research questions, nursing terminologies, sample characteristics, variables, and statistical techniques used from these articles. An adapted STROBE (Strengthening The Reporting of OBservational Studies in Epidemiology) Statement checklist for observational studies was used for reproducibility assessment. Results Forty-four articles were identified. Their study foci were grouped into 3 categories: (1) potential uses of SNT-coded nursing data or challenges associated with this type of data (feasibility of standardizing nursing data), (2) analysis of SNT-coded nursing data to describe the characteristics of nursing care (characterization of nursing care), and (3) analysis of SNT-coded nursing data to understand the impact or effectiveness of nursing care (impact of nursing care). The analytical techniques varied including bivariate analysis, data mining, and predictive modeling. Discussion SNT-coded nursing data extracted from EHRs is useful in characterizing nursing practice and offers the potential for demonstrating its impact on patient outcomes. Conclusions Our study provides evidence of the value of SNT-coded nursing data in EHRs. Future studies are needed to identify additional useful methods of analyzing SNT-coded nursing data and to combine nursing data with other data elements in EHRs to fully characterize the patient’s health care experience.

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Section: Discussionmentioning

confidence: 99%

Secondary use of standardized nursing care data for advancing nursing science and practice: a systematic review

Macieira

Chianca

Smith

et al. 2019

Journal of the American Medical Informatics Association

Self Cite

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“…Thus, the data from the MDRP would require extensive harmonization to be included in multicenter trials. 3,22 Staff new to the NSICU may have more difficulty interpreting the MDRP if they are not familiar with the jargon. There are known barriers to implementing new evidence-based practice models.…”

Section: Discussionmentioning

confidence: 99%

“…Bedside nurses are often informed that that the NCP is required by the Joint Commission (TJC) and that the NCP is important to providing comprehensive care. With an understanding that the NCP is one of many formats in which healthcare providers communicate a plan of care, 2 we were unable to find documentation that TJC specifically requires that the plan of care is presented in the NCP format 3,4 . We did find evidence that a plan of care (but not necessarily an NCP) is required by the Centers for Medicare & Medicaid Services (CMS) 5 .…”

mentioning

confidence: 93%

Exploring Plan of Care Communication With a Multidisciplinary Rounding Plan to Nursing Care Plans

Perera

Joseph

Marshall

et al. 2023

Journal of Neuroscience Nursing

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BACKGROUND: The nursing care plan (NCP) was developed approximately 100 years ago as a teaching tool for nursing students. Our neuroscience intensive care unit (NSICU) uses a multidisciplinary rounding plan (MDRP) that may provide more relevant and up-to-date information than the standard NCP. METHODS: In this prospective single-blind randomized pilot study, we examined nurses' abilities to respond to 7 clinical scenarios common to the NSICU. The NCPs and MDRPs from 70 patients were randomly assigned to 14 nurses (10 per nurse) who answered each of the 7 questions using only data from an NCP or data from an MDR. RESULTS: The MDRP mean score of 4.51 (1.50) correct answers was statistically significantly higher than the NCP mean score of 0.31 (0.71) correct answer (P < .0001). CONCLUSION: The MDRP was designed to address the modern-day communication needs of NSICU staff by leveraging technological advances. Data from this study suggest that the MDRP may have advantages over the NCP in providing contextually relevant information. Additional research is warranted to develop the MDRP as a replacement for the NCP in the NSICU setting.

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“…The nurses who have joined the hospitals or the care institutions after 2014 they are all given the training of digital devices and training based upon the IT is considered to be one of the mandatory parts of the working in the medical environment. Although the digitisation process has grown to its limits and most of the institution are now registering and authorising all the nurses for the IT-based training programme so that the data processing work could be faster [3]. Data mining and other processing work were also given the order to complete all the given processed type of work on the basis of HWA, i.e.…”

Section: Primary Data On Medical Fieldmentioning

confidence: 99%

Data Mining Technology and Techniques in Medical Science Field Applications

Namratha¹,

Swarnalatha²

2019

IJEAT

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The electronic and the written records both played an equally significant part in the daily lives of the health department staffs. However, after the globalised version of change in the healthcare department, it has been recorded by the researcher in his examination a portion of the fundamental focuses that demonstrate the genuine advantage of the information and the dangers. Consequently in this report, the analysts will show unmistakably the Data mining procedure and its different focuses. The primary focal point of the investigation is needy upon the Nursing work, and in this manner various health care centres and the nurses will be taken under consideration. The report additionally examines about the data mining subject's experience and how it rose in the therapeutic science field of capacity. The information that are dealt with in the framework has changed into a making care each. It has been noticed that information mining is considered to all computer-based information stockpiling and recovering method. The approach of the digital form of data gathering will also be explained and along with it will also showcase some critical points that are co-related with the findings and analysis. In the end, the researcher will provide its own recommendation for the betterment of the nursing in the medical science field of capacity.

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Framework for Mining and Analysis of Standardized Nursing Care Plan Data

Cited by 10 publications

References 35 publications

Secondary use of standardized nursing care data for advancing nursing science and practice: a systematic review

Secondary use of standardized nursing care data for advancing nursing science and practice: a systematic review

Exploring Plan of Care Communication With a Multidisciplinary Rounding Plan to Nursing Care Plans

Data Mining Technology and Techniques in Medical Science Field Applications

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