ICU readmissions and post-discharge mortality pose significant challenges. Previous studies used EHRs and machine learning models, but mostly focused on structured data. Nursing records contain ...crucial unstructured information, but their utilization is challenging. Natural language processing (NLP) can extract structured features from clinical text. This study proposes the Crucial Nursing Description Extractor (CNDE) to predict post-ICU discharge mortality rates and identify high-risk patients for unplanned readmission by analyzing electronic nursing records.
Developed a deep neural network (NurnaNet) with the ability to perceive nursing records, combined with a bio-clinical medicine pre-trained language model (BioClinicalBERT) to analyze the electronic health records (EHRs) in the MIMIC III dataset to predict the death of patients within six month and two year risk.
A cohort and system development design was used.
Based on data extracted from MIMIC-III, a database of critically ill in the US between 2001 and 2012, the results were analyzed.
We calculated patients' age using admission time and date of birth information from the MIMIC dataset. Patients under 18 or over 89 years old, or who died in the hospital, were excluded. We analyzed 16,973 nursing records from patients' ICU stays.
We have developed a technology called the Crucial Nursing Description Extractor (CNDE), which extracts key content from text. We use the logarithmic likelihood ratio to extract keywords and combine BioClinicalBERT. We predict the survival of discharged patients after six months and two years and evaluate the performance of the model using precision, recall, the F1-score, the receiver operating characteristic curve (ROC curve), the area under the curve (AUC), and the precision–recall curve (PR curve).
The research findings indicate that NurnaNet achieved good F1-scores (0.67030, 0.70874) within six months and two years. Compared to using BioClinicalBERT alone, there was an improvement in performance of 2.05 % and 1.08 % for predictions within six months and two years, respectively.
CNDE can effectively reduce long-form records and extract key content. NurnaNet has a good F1-score in analyzing the data of nursing records, which helps to identify the risk of death of patients after leaving the hospital and adjust the regular follow-up and treatment plan of relevant medical care as soon as possible.
Abstract
Objective
Nursing time represents one of the highest costs for most health services. We conducted a systematic review of the literature on the impact of health information technology on ...nurses’ time.
Materials and Methods
We followed PRISMA guidelines and searched 6 large databases for relevant articles published between Jan 2004 and December 2019. Two authors reviewed the titles, abstracts, and full texts. We included articles that included a comparison group in the design, measured the time taken to carry out documentation or medication administration, documented the quantitative estimates of time differences between the 2, had nurses as subjects, and was conducted in either a care home, hospital, or community clinic.
Results
We identified a total of 1647 articles, of which 33 met our inclusion criteria. Twenty-one studies reported the impact of 12 different health information technology (HIT) implementations on nurses’ documentation time. Weighted averages were calculated for studies that implemented barcode medication administration (BCMA) and 2 weighted averages for those that implemented EHRs, as these studies used different sampling units; both showed an increase in the time spent in documentation (+22% and +46%). However, the time spent carrying out medication administration following BCMA implementation fell by 33% (P < .05). HIT also caused a redistribution of nurses’ time which, in some cases, was spent in more “value-adding” activities, such as delivering direct patient care as well as inter-professional communication.
Discussion and Conclusions
Most of the HIT systems increased nursing documentation time, although time fell for medication administration following BCMA. Many HIT systems also resulted in nurses spending more time in direct care and “value-adding” activities.
To determine the prevalence and clustering of NANDA-International nursing diagnoses in patients assisted by pre-hospital emergency teams.
Retrospective descriptive study of electronic record review.
...Episodes recorded during 2019, including at least a nursing diagnosis, were recovered from the electronic health records of a Spanish public emergency agency (N = 28,847). Descriptive statistics were used to characterize the sample and determine prevalence. A two-step cluster analysis was used to group nursing diagnoses. A comparison between clusters in sociodemographic and medical problems was performed. Data were accessed in November 2020.
Risk for falls (00155) (27.3%), Anxiety (00146) (23.2%), Acute pain (00132), Fear (00148) and Ineffective breathing pattern (00032) represented 96.1% of all recorded diagnoses. A six-cluster solution (n = 26.788) was found. Five clusters had a single high-prevalence diagnosis predominance: Risk for falls (00155) in cluster 1, Anxiety (00146) in cluster 2, Fear (00148) in cluster 3, Acute pain (00132) in cluster 4 and Ineffective breathing pattern (00032) in cluster 6. Cluster 5 had several high prevalence diagnoses which co-occurred: Risk for unstable blood glucose level (00179), Ineffective coping (00069), Ineffective health management (00078), Impaired comfort (00214) and Impaired verbal communication (00051).
Five nursing diagnoses accounted for almost the entire prevalence. The identified clusters showed that pre-hospital patients present six patterns of nursing diagnoses. Five clusters were predominated by a predominant nursing diagnosis related to patient safety, coping, comfort, and activity/rest, respectively. The sixth cluster grouped several nursing diagnoses applicable to exacerbations of chronic diseases.
Knowing the prevalence and clustering of nursing diagnoses allows a better understanding of the human responses of patients attended by pre-hospital emergency teams and increases the evidence of individualized/standardized care plans in the pre-hospital clinical setting.
What problem did the study address? There are different models of pre-hospital emergency care services. The use of standardized nursing languages in the pre-hospital setting is not homogeneous. Studies on NANDA-I nursing diagnoses in the pre-hospital context are scarce, and those available are conducted on small samples. What were the main findings? This paper reports the study with the largest sample among the few published on NANDA-I nursing diagnoses in the pre-hospital care setting. Five nursing diagnoses represented 96.1% of all recorded. These diagnoses were related to patients' safety/protection and coping/stress tolerance. Patients attended by pre-hospital care teams are grouped into six clusters based on the nursing diagnoses, and this classification is independent of the medical conditions the patient suffers. Where and on whom will the research have an impact? Knowing the prevalence of nursing diagnoses allows a better understanding of the human responses of patients treated in the pre-hospital setting, increasing the evidence of individualized and standardized care plans for pre-hospital care.
STROBE checklist has been used as a reporting method.
Only patients' records were reviewed without further involvement.
Aim
The study aims to describe the impacts of different data structuring methods used in nursing records or care plans. This systematic review examines what kinds of structuring methods have been ...evaluated and the effects of data structures on healthcare input, processes and outcomes in previous studies.
Materials and Methods
Retrieval from 15 databases yielded 143 papers. Based on Population (Participants), Intervention, Comparators, Outcomes elements and exclusion and inclusion criteria, the search produced 61 studies. A data extraction tool and analysis for empirical articles were used to classify the data referring to the study aim. Thirty‐eight studies were included in the final analysis.
Findings
The study design most often used was a single measurement without any control. The studies were conducted mostly in secondary or tertiary care in institutional care contexts. The standards used in documentation were nursing classifications or the nursing process model in clinical use. The use of standardised nursing language (SNL) increased descriptions of nursing interventions and outcomes supporting daily care, and improving patient safety and information reuse.
Discussion
The nursing process model and classifications are used internationally as nursing data structures in nursing records and care plans. The use of SNL revealed various positive impacts. Unexpected outcomes were most often related to lack of resources.
Limitations
Indexing of SNL studies has not been consistent. That might cause bias in database retrieval, and important articles may be lacking. The study design of the studies analysed varied widely. Further, the time frame of papers was quite long, causing confusion in descriptions of nursing data structures.
Conclusion
The value of SNL is proven by its support of daily workflow, delivery of nursing care and data reuse. This facilitates continuity of care, thus contributing to patient safety. Nurses need more education and managerial support in order to be able to benefit from SNL.
Aims and objectives
To assess and compare the quality of paper‐based and electronic‐based health records. The comparison examined three criteria: content, documentation process and structure.
...Background
Nursing documentation is a significant indicator of the quality of patient care delivery. It can be either paper‐based or organised within the system known as the electronic health records. Nursing documentation must be completed at the highest standards, to ensure the safety and quality of healthcare services. However, the evidence is not clear on which one of the two forms of documentation (paper‐based versus electronic health records is more qualified.
Methods
A retrospective, descriptive, comparative design was used to address the study's purposes. A convenient number of patients’ records, from two public hospitals, were audited using the Cat‐ch‐Ing audit instrument. The sample size consisted of 434 records for both paper‐based health records and electronic health records from medical and surgical wards.
Results
Electronic health records were better than paper‐based health records in terms of process and structure. In terms of quantity and quality content, paper‐based records were better than electronic health records. The study affirmed the poor quality of nursing documentation and lack of nurses’ knowledge and skills in the nursing process and its application in both paper‐based and electronic‐based systems.
Conclusion
Both forms of documentation revealed drawbacks in terms of content, process and structure. This study provided important information, which can guide policymakers and administrators in identifying effective strategies aimed at enhancing the quality of nursing documentation.
Relevance to clinical practice
Policies and actions to ensure quality nursing documentation at the national level should focus on improving nursing knowledge, competencies, practice in nursing process, enhancing the work environment and nursing workload, as well as strengthening the capacity building of nursing practice to improve the quality of nursing care and patients’ outcomes.
Objective Currently, the processes for harmonizing and extending standards by leveraging the knowledge within local documentation artifacts are not well described. We describe a collaborative project ...to develop common information models, terminology bindings, and term definitions based on nursing documentation systems, and carry the findings through to the adoption in standards development organizations (SDOs) and technical implementations in clinical applications.
Materials and Methods Nursing flowsheet documents from six large organizations were analyzed to generate a common information model and terminologies that fully expressed documentation across all systems, and were sufficient for evidence-based decision support, reporting, and analysis.
Results Significant gaps in existing standards were identified. The models and terminologies were submitted to and incorporated by SDOs, are published, implemented, and now serving as a foundation for an eMeasure.
Discussion There are few examples in the literature of success working through the standards development process from a bottom-up perspective. Subsequently, standards do not yet fully address the need for detailed clinical data that enables, for example, decision support as well as a range of reporting and analytic requirements. Recommendations from this project include transparent processes within SDOs, registries that make models and associated terminologies freely available, and coordinated governance processes.
Conclusion We demonstrated the feasibility of using documentation artifacts in a bottom-up approach to develop common models and sets of terms that are complete from the perspective of clinical implementation. Importantly, we demonstrated a process by which a community of practice can contribute to closing gaps in existing standards using SDO processes.
Objectives: to identify the care currently provided to residents dying in UK nursing care homes.
Method: study participants were residents who had died within 38 nursing care homes in southeast ...England over a 3-year period. The nursing care homes had been recruited to take part in a cluster randomised controlled trial looking at different models of facilitation while implementing the Gold Standards Framework in Care Homes (GSFCH) programme. Two researchers examined the notes and daily records of all residents who died in each of these homes between the 1 June 2008 and the 31 May 2011.
Results: a total of 2,444 residents died during the 3-year period. Fifty-six percent of these residents died within a year of admission. The support from specialist healthcare services to residents during their last 6 months of life was variable.
Conclusions: nursing care homes have established links with some external healthcare providers. These links included the GP, palliative care nurses and physiotherapy. As dependency of resident increase with 56% residents dying within a year of admission these links need to be expanded. The provision of health care that meets the needs of future nursing care home residents needs to be ‘proactively’ obtained rather than left to chance.
The objective of this study was to investigate documentation practice and factors affecting documentation practice among nurses working in public hospital of Tigray region, Ethiopia.
In this study, ...there were 317 participants with 99.7% response rate. The result of this study shows that practice nursing care documentation was inadequate (47.8%). Inadequacy of documenting sheets AOR = 3.271, 95% CI (1.125, 23.704), inadequacy of time AOR = 2.205, 95% CI (1.101, 3.413) and with operational standard of nursing documentation AOR = 2.015, 95% CI (1.205, 3.70) were significantly associated with practice of nursing care documentation. To conclude, more than half of nurses were not documented their nursing care. Employing institutions should provide training on documentation of nursing care to enhance knowledge and create awareness on nurses' documentation to nursing directors and chief executive officer to access adequate documenting supplies besides employing more nurses.
A nursing record system is the record of care that was planned or given to individual patients and clients by qualified nurses or other caregivers under the direction of a qualified nurse. Nursing ...record systems may be an effective way of influencing nurse practice.
To assess the effects of nursing record systems on nursing practice and patient outcomes.
For the original version of this review in 2000, and updates in 2003 and 2008, we searched: the Cochrane Effective Practice and Organisation of Care (EPOC) Group Specialised Register; MEDLINE, EMBASE, CINAHL, BNI, ISI Web of Knowledge, and ASLIB Index of Theses. We also handsearched: Computers, Informatics, Nursing (Computers in Nursing); Information Technology in Nursing; and the Journal of Nursing Administration. For this update, searches can be considered complete until the end of 2007. We checked reference lists of retrieved articles and other related reviews.
Randomised controlled trials (RCTs), controlled before and after studies, and interrupted time series comparing one kind of nursing record system with another in hospital, community or primary care settings. The participants were qualified nurses, students or healthcare assistants working under the direction of a qualified nurse, and patients receiving care recorded or planned using nursing record systems.
Two review authors (in two pairs) independently assessed trial quality and extracted data.
We included nine trials (eight RCTs, one controlled before and after study) involving 1846 people. The studies that evaluated nursing record systems focusing on relatively discrete and focused problems, for example effective pain management in children, empowering pregnant women and parents, reducing loss of notes, reducing time spent on data entry of test results, reducing transcription errors, and reducing the number of pieces of paper in a record, all demonstrated some degree of success in achieving the desired results. Studies of nursing care planning systems and total nurse records demonstrated uncertain or equivocal results.
We found some limited evidence of effects on practice attributable to changes in record systems. It is clear from the literature that it is possible to set up the randomised trials or other quasi-experimental designs needed to produce evidence for practice. Qualitative nursing research to explore the relationship between practice and information use could be used as a precursor to the design and testing of nursing information systems.
•There is limited research on utilization of nursing standards in electronic health records (EHRs).•This study found that nursing standards in EHRs contributes to continuity of care and patient ...safety.•Nurses and leaders need to be involved and engaged to safeguard development and implementation of relevant nursing standards.
The electronic health record (EHR), including standardized structures and languages, represents an important data source for nurses, to continually update their individual and shared perceptual understanding of clinical situations. Registered nurses’ utilization of nursing standards, such as standardized nursing care plans and language in EHRs, has received little attention in the literature. Further research is needed to understand nurses’ care planning and documentation practice.
This study aimed to describe the experiences and perceptions of nurses’ EHR documentation practices utilizing standardized nursing care plans including standardized nursing language, in the daily documentation of nursing care for patients living in special dementia-care units in nursing homes in Norway.
A descriptive qualitative study was conducted between April and November 2021 among registered nurses working in special dementia care units in Norwegian nursing homes. In-depth interviews were conducted, and data was analyzed utilizing reflexive thematic analysis with a deductive orientation.
Findings
Four themes were generated from the analysis. First, the knowledge, skills, and attitude of system users were perceived to influence daily documentation practice. Second, management and organization of documentation work, internally and externally, influenced motivation and engagement in daily documentation processes. Third, usability issues of the EHR were perceived to limit the daily workflow and the nurses’ information-needs. Last, nursing standards in the EHR were perceived to contribute to the development of documentation practices, supporting and stimulating ethical awareness, cognitive processes, and knowledge development.
Nurses and nursing leaders need to be continuously involved and engaged in EHR documentation to safeguard development and implementation of relevant nursing standards.
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